For many women, the years after 40 bring changes that are difficult to explain at first. Sleep may become less predictable. Menstrual cycles can change. Hot flashes may appear without warning. Concentration may not feel as sharp as it once did. Mood can become more sensitive to stress, and ordinary responsibilities can suddenly require more energy.
These changes are not simply a matter of getting older. For many women, they are connected to the menopausal transition, a period during which ovarian hormone production changes and menstrual patterns become increasingly irregular. The experience is different for every woman. Some women have only mild symptoms, while others experience symptoms that affect sleep, work, relationships, physical activity, and emotional well being.
The National Institute for Health and Care Excellence, known as NICE, recommends individualized care for people aged 40 and over who are experiencing perimenopause or menopause. Its current guideline was updated as recently as April 2026, including recommendations concerning treatment, cognitive behavioral therapy, genitourinary symptoms, hormone replacement therapy, and when professional assessment is appropriate.
At the same time, artificial intelligence is becoming part of everyday life. AI can organize information, recognize patterns, create schedules, summarize health questions, help people prepare for medical appointments, and provide personalized suggestions based on information supplied by the user.
This creates an interesting possibility for women experiencing hormonal changes.
AI cannot replace a gynecologist, menopause specialist, pharmacist, psychologist, dietitian, or other healthcare professional. It cannot determine whether a symptom is caused by menopause simply because the symptom appears during the same period of life. It should also never be used to independently start, stop, or change prescription treatment.
However, when used carefully, AI can become a practical organizational and educational assistant.
For a woman balancing employment, family responsibilities, household tasks, physical activity, appointments, sleep difficulties, and changing symptoms, this type of assistance can be valuable. The greatest benefit may not come from AI making medical decisions. It may come from helping a woman understand her own daily patterns and communicate them more clearly to the people who provide her care.
Understanding What Happens After 40
The menopausal transition does not begin at exactly the same age for every woman. Some women notice changes during their early 40s, while others experience more noticeable symptoms later.
Perimenopause refers to the transition leading up to menopause. During this period, ovarian hormone production becomes less predictable. Estrogen levels can fluctuate considerably, and menstrual cycles may become shorter, longer, heavier, lighter, or occasionally absent.
Menopause itself is defined retrospectively after a woman has gone 12 consecutive months without a menstrual period when there is no other explanation and she is not using hormonal contraception that prevents periods.
Symptoms can include hot flashes, night sweats, sleep disturbance, mood changes, vaginal dryness, changes in sexual function, joint or muscle discomfort, and difficulties with concentration or memory. ACOG identifies vasomotor and vaginal symptoms as particularly associated with menopausal hormonal changes.
The important point is that these symptoms can interact with one another.
A woman who sleeps badly because of night sweats may feel exhausted the following morning. Fatigue can make concentration more difficult. Reduced concentration can increase work stress. Stress can make it harder to sleep that night. The result can become a cycle rather than a single isolated symptom.
AI can be useful in observing this type of pattern.
It can help transform scattered observations into organized information.
That may be one of its most realistic and useful roles in menopause management.
AI as a Personal Daily Organizer
One of the simplest applications of AI has nothing to do with diagnosis.
It can help organize the day.
A woman who wakes after a poor night of sleep may not have enough energy to follow the same schedule she would use after a good night's sleep. Instead of abandoning the entire day, she can ask an AI assistant to reorganize nonessential tasks while protecting important responsibilities.
For example, she might describe her day in simple terms.
She may have a work meeting in the morning, a medical appointment in the afternoon, household responsibilities, and twenty minutes available for physical activity. She can ask the AI to help arrange the day around periods when she normally has more energy.
The answer should not be treated as medical treatment. It is simply organizational support.
This distinction matters.
AI can help answer questions such as how to structure a realistic morning routine, how to divide household tasks, how to prepare for a busy week, or how to create reminders for hydration, meals, exercise, sleep preparation, and appointments.
It can also help reduce the mental burden of remembering every small responsibility.
This is especially relevant when a woman feels that her attention is being divided between work, family, health, and household responsibilities.
A practical approach is to ask AI for a flexible schedule rather than a perfect schedule.
For example, a woman could request a plan containing a productive period, a short rest period, a meal break, physical activity, and a calm evening routine.
If symptoms are unpredictable, the plan can contain alternatives.
On a high energy day, she may complete more demanding tasks.
On a low energy day, she can focus on essential responsibilities and postpone less important activities.
This is not about reducing ambition.
It is about recognizing that the body does not necessarily provide the same level of energy every day during hormonal transition.
AI Can Help Identify Patterns in Symptoms
One of the most promising everyday uses of AI is symptom organization.
Many women experience several symptoms at the same time but do not record them consistently. A woman may remember that she slept badly on Monday, felt anxious on Tuesday, had a hot flash on Wednesday, and experienced a headache on Thursday. A few weeks later, it may be difficult to remember whether these events were related.
A simple daily record can change this.
A woman could record her sleep duration, menstrual status, hot flashes, mood, physical activity, caffeine intake, alcohol intake, stress level, and other relevant observations.
AI can then help summarize the information.
For example, it might identify that poorer sleep appears repeatedly after evenings involving late meals or high stress. It might notice that symptoms appear more frequently during particular periods of the menstrual cycle. It might show that physical activity is associated with better mood on certain days.
Such observations should be considered possible patterns, not medical conclusions.
This difference is essential.
An AI system can recognize a relationship in the information supplied to it, but that does not prove that one factor caused another.
A woman who notices that she has more hot flashes on stressful days should not automatically conclude that stress is the only cause. Hormonal changes, environmental temperature, medication, thyroid disorders, sleep problems, and other factors may also influence symptoms.
The purpose of tracking is therefore not self diagnosis.
Its purpose is better self awareness and better communication with a healthcare professional.
AI and Sleep During the Menopausal Transition
Sleep problems are among the most frustrating experiences reported by many women during menopause.
Night sweats can interrupt sleep. Hormonal changes may influence sleep patterns. Anxiety and stress can also contribute. Once sleep becomes poor, daytime fatigue can make ordinary activities more difficult.
NICE has specifically updated its menopause guidance to include evidence concerning cognitive behavioral therapy for menopause related symptoms.
AI can support healthy sleep routines without pretending to treat insomnia.
For example, it can help create a consistent evening routine.
A woman may ask AI to help design an evening schedule that includes finishing work at a reasonable time, reducing stimulating activities before bed, preparing clothing and meals for the following day, and creating a calm environment.
AI can also help her identify habits worth discussing with her healthcare professional.
For example, she may record several weeks of sleep information and notice that she wakes repeatedly during the night.
Instead of simply telling her doctor, "I am tired all the time," she could arrive with more precise information.
She might say that she sleeps approximately six hours, wakes three times most nights, experiences night sweats twice a week, and feels particularly tired during the afternoon.
That information is much more useful clinically.
AI therefore acts as an organizer of the patient's experience rather than a substitute for clinical assessment.
Helping With Menopause Related Brain Fog
Many women use the expression "brain fog" to describe forgetfulness, difficulty concentrating, losing track of conversations, or needing more time to find words.
These experiences can be worrying.
A woman may wonder whether she is developing a serious cognitive disorder when the real situation may involve several interacting factors such as hormonal transition, poor sleep, stress, anxiety, depression, medication effects, or other medical conditions.
Research is beginning to examine whether AI can assist in identifying women at increased risk of subjective cognitive decline during the menopause transition. The Menopause Society reported in 2025 on a machine learning study designed to identify women with severe subjective cognitive decline more efficiently. The study is important, but it should not be interpreted as proof that consumer AI can diagnose dementia or other neurological disease.
For everyday life, AI can help in a much simpler way.
It can function as an external memory aid.
A woman can use digital reminders for appointments, shopping, work deadlines, medications prescribed by her clinician, household responsibilities, and important questions she wants to ask during a medical visit.
AI can also help transform a complicated list into a clear schedule.
This can reduce the amount of information that has to be held in working memory.
There is nothing embarrassing about using external tools to support memory.
People already use calendars, notebooks, alarms, lists, and reminders. AI simply provides a more flexible version of some of these tools.
AI Can Help Women Prepare for Medical Appointments
This may be one of the most valuable applications.
Medical appointments can be short. A woman may arrive with ten questions and remember only three of them once she is sitting in the consultation room.
AI can help organize questions before the appointment.
For example, a woman experiencing irregular periods, hot flashes, sleep problems, and mood changes can ask AI to organize her observations into a concise summary.
The final document might include when symptoms started, how frequently they occur, how severe they feel, how they affect daily life, current medications, previous medical conditions, and questions she wants to discuss.
The woman should then review the information herself before sharing it.
AI can also help explain medical terminology in simpler language.
If a doctor mentions vasomotor symptoms, genitourinary symptoms, hormone therapy, cognitive behavioral therapy, or bone health, AI can explain the general meaning of these terms.
This can make medical conversations less intimidating.
However, the AI explanation should never override the clinician's assessment.
Medical care is individualized.
For example, hormone therapy may be appropriate for some women and inappropriate or require special consideration for others. ACOG emphasizes that decisions concerning hormone therapy depend on individual factors and that treatment should involve appropriate clinical evaluation and shared decision making.
Hormone therapy is an area where caution is particularly important.
A woman may find an AI chatbot useful for understanding the difference between estrogen therapy, combined estrogen and progestogen therapy, local vaginal treatments, and nonhormonal approaches.
AI can help generate questions such as whether a particular symptom is commonly treated with hormone therapy, what benefits are generally expected, what risks need to be considered, and what alternatives exist.
But AI should not decide whether a woman should take hormone therapy.
It should also not tell her to increase a dose, reduce a dose, stop treatment, or combine medications.
ACOG states that there are insufficient high quality data concerning the safety and effectiveness of compounded bioidentical menopausal hormone therapy and recommends against routine use when FDA approved formulations are available.
This is a good example of why medical information needs a reliable source.
An online AI system may produce a confident sounding answer even when the answer is incomplete or inappropriate for a particular person.
The safest approach is to use AI to prepare questions and understand terminology, while leaving treatment decisions to qualified healthcare professionals.
AI Can Help With Nutrition Planning
Nutrition becomes particularly important during midlife because women are simultaneously managing general health, changing energy needs, physical activity, sleep, cardiovascular risk factors, and long term bone health.
AI can help with meal organization.
For example, a woman can provide her preferred foods, cultural habits, available cooking time, food budget, and dietary restrictions and ask for a weekly meal structure.
The important word is structure.
AI should not be used to create extreme diets or unnecessary food restrictions.
A woman experiencing menopause does not need to punish herself for hormonal changes.
Instead, practical nutrition should focus on sufficient protein, vegetables, fruits, whole grains or other high fiber foods, appropriate sources of healthy fats, and adequate nutrients.
If a woman has diabetes, kidney disease, an eating disorder, significant gastrointestinal disease, food allergies, or another medical condition requiring specialized nutrition, professional dietary advice becomes particularly important.
AI can assist with shopping organization and recipes, but it should not replace individualized nutritional care.
It can also help make healthy eating more realistic.
For example, instead of suggesting an elaborate seven day menu requiring hours of cooking, AI can create simple meals for a woman who works full time.
The best plan is often the one that can actually be followed.
AI and Physical Activity After 40
Regular physical activity is important throughout adult life.
During and after menopause, maintaining physical activity can support cardiovascular health, muscle function, bone health, balance, mood, and general wellbeing.
NICE guidance recommends individualized management and includes lifestyle considerations as part of menopause care.
AI can help create a practical exercise schedule.
A woman can tell the system that she has thirty minutes available three days a week, prefers walking, has access to resistance bands, and wants to improve general fitness.
AI can then organize these preferences into a weekly routine.
However, exercise advice should be adapted when there are medical limitations.
A woman with significant joint pain, osteoporosis, cardiovascular disease, unexplained chest pain, severe dizziness, or another health concern should discuss appropriate exercise with a healthcare professional.
AI should not attempt to diagnose the cause of pain or decide that a symptom is harmless.
The useful role of AI is planning.
The medical role remains with the healthcare team.
AI Can Help With Stress Management
Stress can become more noticeable during midlife.
Women may simultaneously manage employment, family responsibilities, aging parents, financial concerns, relationship changes, and their own health.
Hormonal symptoms may add another layer of difficulty.
AI can provide practical support by helping a woman organize her responsibilities and create realistic periods of rest.
It can also suggest general relaxation strategies, journaling prompts, breathing exercises, or ways to structure a demanding week.
However, there is a difference between ordinary stress management and mental health treatment.
Persistent depression, severe anxiety, panic symptoms, major changes in behavior, or thoughts of self harm require professional attention rather than reliance on an AI chatbot.
AI can encourage someone to seek appropriate care, but it should never be treated as a therapist with responsibility for a person's safety.
AI Can Support Better Communication With Family
Hormonal changes can affect daily life, but family members may not understand what is happening.
A woman may know that she is exhausted but struggle to explain why.
AI can help her find clear, respectful language.
For example, she might ask for help explaining that poor sleep and hot flashes are affecting her concentration and energy.
The purpose is not to blame other people.
It is to communicate needs.
A woman might need more quiet time in the evening, assistance with household tasks, or flexibility around particularly difficult nights.
AI can help formulate these requests in calm language.
This can be particularly useful for women who tend to take responsibility for everyone else's needs while ignoring their own.
Good communication is not a medical treatment.
But it can make everyday life easier.
AI Can Help With Work and Productivity
Menopause symptoms can sometimes interfere with professional life.
A woman experiencing poor sleep may have difficulty concentrating during long meetings. Hot flashes can be distracting. Anxiety or fatigue may make demanding tasks feel more difficult.
AI can assist with workplace organization by summarizing notes, creating task lists, drafting nonmedical emails, organizing calendars, and breaking complex projects into manageable stages.
This can reduce unnecessary cognitive load.
For example, instead of keeping fifteen separate tasks in her head, she can ask an AI system to organize them according to urgency and estimated time.
The woman remains responsible for deciding what is important.
AI simply reduces the organizational burden.
This is especially useful because productivity should not be confused with health.
The goal is not to force a woman to work harder despite severe symptoms.
The goal is to make necessary work more manageable while recognizing when health problems require medical attention.
AI Can Help Women Understand Reliable Medical Information
The internet contains enormous amounts of menopause information.
Unfortunately, quality varies widely.
Some websites promote supplements without adequate evidence. Others make exaggerated claims about hormones, weight loss, detoxification, or "balancing" hormones through specific foods.
AI can help summarize reputable information if it is instructed to prioritize recognized medical organizations and peer reviewed research.
Women should nevertheless verify important health information against trusted sources.
The Menopause Society provides evidence based educational resources for women experiencing menopause and emphasizes that every woman's experience is different.
NICE provides clinical guidance covering identification and management of menopause, including care for people aged 40 and over.
ACOG provides clinical guidance and patient information on menopause and related gynecological health issues.
These organizations are more appropriate reference points than anonymous social media posts.
The Importance of Privacy
There is another issue that women should take seriously.
Menopause related information can be highly personal.
A woman may enter information about menstrual cycles, sexual health, medications, mental health, medical conditions, or family history into an AI system.
Before doing this, she should understand how the service handles personal information.
The World Health Organization has emphasized that privacy, confidentiality, informed consent, human autonomy, transparency, and protection against harmful bias are important considerations when AI is used in healthcare.
This means women should avoid sharing unnecessary identifying information with general purpose AI systems.
It is usually unnecessary to provide a full name, home address, telephone number, medical record number, or other identifying information simply to ask a general health question.
Women should also be careful with screenshots of medical documents.
A safer habit is to remove identifying information before uploading documents to a general AI service, unless the service is specifically designed and authorized for secure healthcare use.
The Problem of AI Bias
AI systems learn from data.
If the data used to develop a system does not adequately represent different populations, the system may perform differently across groups.
The World Health Organization specifically warns that bias in health AI can arise from data and may reproduce existing inequalities. It recommends attention to factors such as age, sex, race, ethnicity, and other characteristics when evaluating AI systems.
This matters in menopause because women's experiences are not identical.
Age, ethnicity, cultural background, socioeconomic circumstances, access to healthcare, medications, previous medical conditions, and reproductive history can all influence health.
An AI system trained primarily on one population may not provide equally useful guidance to everyone.
Women should therefore be cautious when an AI response sounds excessively certain.
A good health answer often contains uncertainty.
Medicine is rarely as simple as "this symptom always means this condition."
Why AI Can Sometimes Be Wrong
AI systems can generate incorrect information.
They may misunderstand a question. They may provide outdated information. They may confuse similar medications. They may present an association as if it were a proven cause.
The problem is not only obvious errors.
A more dangerous problem is a response that sounds professional while containing a subtle mistake.
The U.S. Food and Drug Administration recognizes that AI and machine learning can provide important healthcare benefits but also create unique considerations because of their complexity and data driven development. Current FDA guidance includes work concerning digital health and AI enabled medical devices.
This is why women should be particularly cautious when an AI system gives advice about diagnosis, medication, hormone therapy, or urgent symptoms.
Confidence is not the same thing as accuracy.
When a Woman Should Speak With a Healthcare Professional
AI can support everyday management, but certain situations require professional assessment.
New or unexplained symptoms should not automatically be attributed to menopause.
Persistent or unusual vaginal bleeding requires medical attention, particularly after menopause.
Severe chest pain, significant shortness of breath, fainting, sudden neurological symptoms, or other potentially serious symptoms require appropriate urgent medical care rather than an AI conversation.
A woman experiencing symptoms that interfere significantly with sleep, work, relationships, or quality of life should also discuss them with a healthcare professional.
The current NICE guideline emphasizes individualized care and information for people experiencing menopause, while its recent updates include recommendations concerning when further professional assessment is appropriate.
Women aged 40 to 45 deserve particular attention when symptoms suggest early menopause. Clinical guidance notes that assessment may differ in this age group compared with women over 45.
AI should never be used to reassure a woman that a potentially important symptom is "just menopause."
A Practical Example From Everyday Life
Consider a fictional example.
A woman named Nadia is 46 and works full time. Over several months, she notices that her menstrual cycle has become irregular. She sometimes wakes at night feeling unusually warm. During the day, she feels more tired than before and occasionally struggles to concentrate.
Her first instinct is to search the internet.
She finds hundreds of contradictory recommendations.
One website recommends supplements. Another promotes hormone testing. A social media video claims that a particular food can "balance estrogen." A different source says that all symptoms can be solved through exercise.
Nadia becomes more confused rather than better informed.
Instead, she begins using AI as an organizational tool.
She records her symptoms for several weeks.
She notes when she sleeps badly, when she experiences hot flashes, when her periods occur, how stressful her days are, and how much physical activity she completes.
She then asks AI to summarize the information without diagnosing her.
The summary shows that sleep disturbance is one of her most consistent problems.
She takes the summary to her healthcare professional.
Instead of trying to remember several months of symptoms, she can provide a clearer picture.
The clinician can then consider whether her symptoms are consistent with perimenopause and whether other causes need to be evaluated.
The AI did not diagnose Nadia.
It helped Nadia communicate.
That distinction represents one of the safest and most useful models for AI assisted health management.
Another Practical Example Involving Daily Planning
Consider another woman, Maria, aged 43. She has two children, works during the day and has recently begun experiencing irregular periods as well as occasional sleep disturbances. Because she often tries to complete all her household tasks in the evening, she feels exhausted and frustrated after several nights of poor sleep, especially when she is unable to maintain her usual routine. Therefore, she asks an AI system to help her create a flexible weekly schedule. In response, the AI suggests grouping household tasks instead of completing them every day; it also recommends scheduling demanding activities earlier in the day and leaving lighter tasks for the evening. Maria then decides which suggestions are realistic for her situation, without expecting to follow the schedule perfectly, since that is not the main purpose. Instead, the schedule simply reduces the number of decisions she has to make. Although this may seem like a small improvement, reducing unnecessary mental workload can make everyday life feel more manageable.
How to Use AI More Responsibly
The safest approach is to treat AI as an assistant rather than an authority. Thus, a woman can ask AI to explain a medical term, organize her symptoms, prepare questions for her doctor, create a realistic meal-planning structure, organize exercise around her existing schedule, or help her prepare for a difficult week. In addition, she can use reminders and calendars to reduce her cognitive load. However, she should verify important medical claims and check medication information with a pharmacist or physician. Moreover, she should never change a prescribed treatment based solely on an AI-generated answer, nor assume that a symptom is caused by menopause without appropriate medical assessment. She should also protect her personal information and remain particularly cautious when an AI system uses absolute language, such as “this definitely means” or “you do not need to see a doctor.” Indeed, in medicine, certainty requires evidence.
The Future of AI and Menopause Care
AI is likely to become increasingly important in women's health.
Future systems may analyze larger amounts of health information, identify patterns across symptoms, support remote consultations, and help clinicians manage large quantities of patient information.
The Menopause Society has already highlighted research involving machine learning and cognitive symptoms during the menopause transition. Emerging digital menopause services are also exploring AI assisted intake and clinical documentation, although early studies should be interpreted cautiously because small studies and early access results cannot establish long term effectiveness or safety.
Medical regulators are also developing frameworks for AI enabled medical technologies. The FDA notes that good machine learning practice should consider the complete lifecycle of an AI enabled medical device, including safety, effectiveness, and quality.
The future therefore should not be imagined as a world in which AI replaces menopause specialists.
A more realistic future is one in which AI handles some organizational and informational tasks while healthcare professionals remain responsible for clinical judgment.
AI Should Make Life Easier, Not More Complicated
There is a temptation to use technology for everything.
That is not always necessary.
A woman does not need a complicated application to understand that she slept poorly last night.
Sometimes a notebook is enough.
Sometimes a calendar is enough.
Sometimes the best decision is simply to talk to a doctor.
The value of AI depends on whether it genuinely reduces a problem.
If an AI tool creates more anxiety, encourages constant symptom checking, or makes a woman feel that she must monitor every aspect of her body, it may be doing more harm than good.
Health monitoring should support wellbeing rather than become another source of pressure.
The most useful question is therefore not "What can AI do?"
The better question is "What problem in my daily life could AI help me solve safely?"
For one woman, the answer may be organization.
For another, it may be appointment preparation.
For another, it may be meal planning.
For another, it may be understanding medical terminology.
The appropriate use will be different for every person.
A Balanced Approach to AI and Menopause
The relationship between AI and women's health should be based on balance.
Women should have access to technology, but technology should not replace human care.
AI can organize information, but clinicians interpret medical evidence.
AI can identify patterns, but clinicians investigate unexplained symptoms.
AI can prepare questions, but patients and healthcare professionals make treatment decisions together.
AI can create routines, but women decide what is realistic for their lives.
AI can explain general concepts, but it cannot know the complete medical history of a person unless that information has been appropriately assessed and interpreted.
The World Health Organization has emphasized that AI in healthcare should protect human autonomy and human rights and should address concerns including privacy, bias, transparency, and accountability.
These principles are particularly important in women's health.
A woman should remain the decision maker in her own healthcare.
Final Perspective
For women over 40, hormonal changes can influence many aspects of daily life.
Sleep, concentration, mood, physical activity, nutrition, work, family responsibilities, and general wellbeing may all become interconnected.
Artificial intelligence cannot stop hormonal changes and cannot eliminate menopause symptoms.
It also cannot replace medical care.
But it can become a useful practical assistant.
It can help organize symptoms.
It can help prepare for medical appointments.
It can reduce the burden of remembering everyday tasks.
It can create flexible schedules.
It can support meal organization.
It can help structure physical activity.
It can explain medical terminology.
It can help women turn vague concerns into clear questions.
Perhaps most importantly, it can help a woman recognize that her experience deserves attention.
The strongest use of AI is not to tell a woman what is wrong with her.
It is to help her become better informed, better organized, and better prepared to participate in her own healthcare.
A woman experiencing significant symptoms should still speak with an appropriately qualified healthcare professional. Current clinical guidance supports individualized assessment and management of menopause, with treatment decisions based on the woman's symptoms, health history, preferences, and risks.
AI works best when it remains in its proper place.
It can be a useful assistant.
It should not become the doctor.
For women navigating the years after 40, that distinction is not a limitation.
It is what makes the technology safer and more genuinely useful.
Medical and Scientific Sources
American College of Obstetricians and Gynecologists. Management of Menopausal Symptoms. ACOG Practice Bulletin.
American College of Obstetricians and Gynecologists. Menopause clinical information and patient resources.
American College of Obstetricians and Gynecologists. Compounded Bioidentical Menopausal Hormone Therapy. Clinical Consensus No. 6. Reaffirmed 2026.
National Institute for Health and Care Excellence. Menopause: identification and management. NICE Guideline NG23. Updated April 2026.
The Menopause Society. Patient Education and evidence based resources for menopause.
The Menopause Society. AI Helps to Identify Subjective Cognitive Decline During the Menopause Transition. January 2025.
World Health Organization. Ethics and governance of artificial intelligence for health. WHO guidance.
U.S. Food and Drug Administration. Good Machine Learning Practice for Medical Device Development.
U.S. Food and Drug Administration. Guidance on digital health and artificial intelligence enabled medical technologies.