AI Health Advice: Six Checks Before You Act
How to check AI health advice: verify the data, open the sources, separate explanations from diagnoses and keep important decisions with a qualified professional.
By My Bio Age
AI can turn an unfamiliar health term or a complicated chart into a readable explanation. The harder question is whether that explanation deserves your trust. A fluent answer can contain a correct observation, an uncertain interpretation and a poor recommendation in the same paragraph.
The World Health Organization’s guidance on generative AI in health identifies risks from inaccurate, incomplete and biased output, as well as overreliance on automated answers. That is a reason to examine the answer’s foundations. These checks are a reading routine, not a way to certify a chatbot as a clinician.
1. Identify the job you are asking it to do
“Explain what resting heart rate means” and “Tell me whether this symptom is dangerous” ask for very different kinds of help. Define the task before judging the response. A clear explanation of terminology does not demonstrate that a system can diagnose a condition, assess urgency or choose a treatment.
A randomised study published in Nature Medicine tested 1,298 UK adults using three language models to assess medical scenarios. AI assistance did not significantly improve decisions about the appropriate level of care compared with the control group. Participants’ results were also worse than the models’ results when given the full scenarios directly. The study used particular models and fictional cases, with data collected in 2024; it does not measure every current product. It does show why a benchmark score alone cannot establish how well people will use an AI system.
2. Check the observation against the original data
If an answer says your sleep declined this week, open the sleep chart. Check the dates, units and missing nights. Does “this week” mean a complete week or three days so far? Has the answer compared an average with a single reading? Write down the factual claim before considering the explanation attached to it.
For example, “four recorded nights averaged less sleep” is narrower than “you slept less all week”. That distinction matters when the watch was charging on the other nights. Our guide to why wearables disagree explains other mismatches that a confident summary can hide.
3. Open the sources instead of counting citations
A reference is useful only if it supports the claim beside it. Follow the link, check the publication date and read what was actually studied. Was the result about people like you, a different population or an experiment that cannot answer your question? A relevant-looking title is not enough.
The National Library of Medicine’s health-information checklist recommends checking who produced the information, its purpose, supporting evidence and currency. Apply that scrutiny to this article too. If a crucial claim has no accessible support, leave it unresolved rather than asking the same chatbot to reassure you that it is correct.
4. Separate a possible explanation from a demonstrated cause
Imagine that your resting heart rate rose during a busy week. An answer might suggest stress, changed sleep or harder training. Those are possible lines of enquiry; the chart alone does not establish which caused the change. Look for language that preserves that uncertainty and for alternative explanations.
In a conversational tool, ask it to separate observed facts, assumptions and unknowns. In a guided app, compare its answer with the available evidence. Either way, a more detailed explanation is still something to check, not new evidence merely because it sounds persuasive.
5. Check privacy separately from answer quality
Before sharing a report or health history, inspect the service’s privacy information and the permissions you are granting. Ask where processing occurs, what is retained and what choices you have. Avoid adding personal records just because a tool requests more context.
My Bio Age’s optional AI Coach generates explanations on your iPhone. Local processing changes the data-sharing question; it does not make every explanation correct. Privacy and reliability both deserve their own assessment.
6. Match the next step to the consequences
Use an explanation to prepare questions, understand a chart or organise notes for an appointment. Do not let it decide medication changes, replace an assessment of concerning symptoms or delay urgent care. The National Library of Medicine advises discussing health information with your healthcare provider before relying on it for decisions that affect your health.
A useful result might be a shorter, clearer question: “These readings changed over this period; what else would help interpret them?” Keep the original measurements available. AI earns a place in your routine when it helps you understand what you know and recognise what still needs an answer.