One in seven Americans trust AI chatbots as much as they trust a doctor, according to new research.
uncertain
they → trust → research
A survey of 1,000 millennial parents and 1,000 general population Americans explored how they are using AI to manage their own health or their children’s health, and whether they understand how AI generates the advice it provides.
asserted
it → explore → advice
Among Americans who use AI for health purposes, the number of respondents who trust AI as much as they trust a doctor nearly quintuples compared to non-AI users, and 60% said they would believe AI-generated health advice even if it contradicted guidance from a healthcare provider.
asserted
it → use → provider
The survey conducted by Talker Research for MD Live by Evernorth found that nearly two-thirds (63%) of AI users admit they have followed health advice from AI without first confirming it with a healthcare provider.
asserted
they → conduct → provider
That confidence may stem from the way AI delivers information: Half of respondents said that if AI gives them a clear or reassuring response about their health, they’re likely to accept it without questioning it.
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they → stem → it
Those who use AI for health purposes ask an average of nine health-related questions each week.
asserted
who → use → questions
These respondents say they rely on it because it’s conveniently available at any time (37%), faster than seeing a doctor (31%), and provides reassurance about their health concerns (30%).
asserted
it → say → %
However, 28% of respondents say they only verify the answer they receive from AI less than half the time.
asserted
they → say → AI
Among millennial parents who use AI for health purposes, 58% admit they have acted on AI-generated health advice for their children without first confirming it with a healthcare provider.
asserted
they → use → provider
Many also said they would be comfortable solely relying on AI for a range of decisions involving their children’s health, including evaluating minor symptoms (80%), determining what type of care is needed (71%), and seeking medication guidance (71%).
asserted
type → say → guidance
Despite the confidence in AI, Americans often overlook how their input may affect the accuracy of the guidance it provides.
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it → overlook → guidance
Nearly eight in ten respondents (78%) did not recognize that the way a question is worded influences the answer AI provides.
asserted
AI → recognize → answer
More than half (53%) admitted they have reworded or adjusted their health question when they didn’t like the first answer they received, including 27% who say they always do so.
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they → admit → %
Many AI users also ask questions in ways that steer AI toward a desired response.
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that → ask → response
Thirty-eight percent said they describe symptoms and ask what could be wrong, while about a third ask whether a symptom could be connected to a condition they already suspect they have (34%) or whether a specific diagnosis could explain what they’re experiencing (32%).
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they → say → %
“The survey indicates that people are often going to AI already hoping for a certain answer, whether that’s reassurance or confirmation of a fear,” said Dr. Maggie Williams, medical director of virtual primary care at MD Live by Evernorth.
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Williams → indicate → Evernorth
“That’s very different from how a doctor works through a symptom with a patient, asking questions, gathering context and ruling possibilities in or out before reaching a conclusion.
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doctor → ’ → conclusion
The survey also found that many Americans overestimate how AI works in the first place.
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AI → find → place
One in five respondents believe that AI only pulls information from trusted medical sources (22%), and the same share of regular users believe AI factors in their personal medical history even when that information has never been provided.
asserted
information → believe → history
At the same time, many respondents acknowledge they do not provide AI with a complete picture of their health when seeking guidance.
asserted
they → acknowledge → guidance
Forty-two percent admit they’ve even lied about who they’re submitting a health question about for privacy reasons.
asserted
they → admit → reasons
More than three-quarters of regular users (76%) leave out their medical history, demographic details (76%), and personal information due to privacy concerns (81%).
asserted
quarters → leave → concerns
As a result, many AI users report receiving answers that weren’t fully relevant to their circumstances.
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that → report → circumstances
Nearly six in 10 (59%) said they later realized health information they received from AI didn’t fully apply to their situation, and nearly half (49%) say they acted on that information anyway before discovering it wasn’t the right fit.
asserted
it → say → information
Despite growing adoption of AI for health purposes, respondents expressed concerns about receiving incorrect advice (34%) and a lack of human oversight (31%).
asserted
respondents → grow → oversight
One in four said they plan to use AI for more healthcare decisions in 2027, while 27% said they would trust AI-generated information more if it is reviewed by a doctor.
asserted
it → say → doctor
“The results show people will continue to turn to AI for their health care questions — and having people more engaged in their health is a good thing,” said Dr. Williams.
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Williams → show → health
“But healthcare providers add important clinical guidance by catching details a patient may not consider relevant, asking follow-up questions, and putting the information into the context of that person’s health history.
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patient → add → history
As we consider a patient’s full care journey, it’s important to understand how AI and physicians can come together to provide the clearest picture to patients while ensuring appropriate safeguards and clinical oversight.”
asserted
AI → consider → safeguards
The Aporia
