Fruit can be one of the healthiest things you can put into your body, but the
majority of Americans are guilty of making this single breakfast mistake that
can counteract most of the health benefits of fruit. ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎ ‎
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HEART SURGEON BEGS AMERICANS: "STOP DOING THIS TO YOUR AVOCADOS"



 

 






Are you turning healthy fruits into highly unhealthy fruits, without even
realizing it?

Fruit can be one of the healthiest things you can put into your body, but the
majority of Americans are guilty of making this single breakfast mistake that
can counteract most of the health benefits of fruit.

Some fruits can help with occasional constipation, reduce bloating, and even
help burn calories.

Others can wreak havoc on your digestive system and energy levels.

In this viral presentation, world-renowned heart surgeon Dr. Steven Gundry
showcases the three fruits to stop eating today.

Click here to learn the top 3 common breakfast foods that are the cause of
your fatigue.
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P.S. Eliminating these fruits
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could forever change the way we help increase energy levels, decrease brain
fog, support digestion, and even lose weight.
*All individuals are unique. Results can and will vary.


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here.
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An AI Chatbot Took Patients' Histories Before Real Doctor Visits. Here's What
a Lancet Study Found In a supervised feasibility study of 98 primary care
patients in Boston, Google's AMIE completed pre-visit interviews with no safety
stops and often listed the eventual diagnosis.




The Capital Brief October 10
Digital Health Edition
An AI Chatbot Took Patients' Histories Before Real Doctor Visits. Here's What
a Lancet Study Found


Millions of people already ask chatbots about their symptoms. A study in The
Lancet tested what happens when a diagnostic AI talks with real patients before
they see their doctor. Researchers from Google and Beth Israel Deaconess
Medical Center in Boston published the study in The Lancet on October 8. Adults
with scheduled urgent primary care visits chatted by text with AMIE, a
diagnostic conversational AI built on Google's Gemini models, before their
appointments. The analysis included 98 patients enrolled from April to November
2025. The AI took each patient's history and produced a list of possible
diagnoses and a summary for the doctor. A physician watched every conversation
live and could stop it for safety reasons. No conversation had to be stopped
for safety. The final diagnosis, confirmed in medical records eight weeks
later, appeared in the AI's list of possible diagnoses in about 90% of cases.
In blinded reviews described by the authors, the AI's diagnostic lists were
rated similar in quality to doctors', while doctors' management plans were
judged more practical and cost-effective. This was a small, single-center
feasibility study without a control group, run and funded by Google. It shows
the approach can be tested safely under supervision, not that AI can replace a
doctor. The useful idea is that AI may be most valuable as preparation for a
clinical visit, not a substitute for one. This edition explores the evidence,
not a recommendation to use any AI tool for medical decisions. Symptoms deserve
assessment by a clinician.

01 What the AI did
AMIE, short for Articulate Medical Intelligence Explorer, is a research system
developed by Google. Patients chatted with it by text on a computer up to five
days before their visit. It asked about symptoms, history and concerns, much
like a clinician taking a history. It then generated a list of possible
diagnoses and a summary for the treating doctor. The AI did not examine
patients, order tests or access medical records. It is a research tool, not a
product available to patients. Doctors made all actual diagnoses and treatment
decisions.

02 How the study was designed
The study took place at a primary care practice affiliated with Beth Israel
Deaconess Medical Center. Adults with a scheduled non-emergency urgent care
visit for a single main complaint were eligible. Participants needed to speak
English, use the patient portal and have a laptop or desktop computer.
Pregnancy-related and mental health complaints were excluded. Of 1,452
scheduled visits during the study period, 140 patients consented, and 98
completed both the AI chat and the doctor visit. About two-thirds of
participants were women, and about half were under 50, younger than the
clinic's typical urgent care patients. There was no comparison group of
patients who did not use the AI.

03 Safety findings
Safety was the main outcome of this feasibility study. None of the
conversations required a safety stop by the supervising physician. Supervisors
intervened a few times to clarify emergency criteria or correct details. Live
supervision means the results do not show how the AI would perform alone. The
authors and an accompanying Lancet commentary emphasize what happens after the
AI speaks as a key question. Unsupervised use would require separate testing.
Safety in a small, supervised study is a starting point, not a guarantee.

04 Diagnostic findings
The final diagnosis, checked against medical records eight weeks later,
appeared in the AI's list of possible diagnoses in about 90% of cases.
According to the authors' earlier preprint, it was the AI's top choice in about
56% of cases and in the top three in about 75%. Blinded evaluators found no
significant difference between the AI and doctors in the quality of diagnostic
lists. Doctors' management plans were rated more practical and more
cost-effective. The AI could not examine patients, which limits diagnosis for
many conditions. Some final diagnoses were presumptive rather than confirmed by
tests. Exact final figures should be checked in the published paper.

05 How patients and doctors reacted
Patients' attitudes toward AI improved after the chat and stayed improved
after the visit. Fewer than half felt the AI would keep information
confidential or seemed fully trustworthy. Most doctors who reviewed the AI's
summaries found them helpful for preparing for the visit. Many said the
summaries likely influenced what they did in the visit. Trust, privacy and
clinician workload are central questions for real-world use. These reactions
come from a small group at one practice. Broader acceptance would need to be
studied.

06 Study limits
The study was small, at a single center, with no control group. Participants
needed a computer and English, excluding many patients. About 7% could not
finish because of device problems, according to the authors. Patients and
doctors knew they were being observed, which can change behavior. The
underlying AI model was changed partway through the study. The study was funded
and largely run by Google, and Google-employed authors may hold company stock.
Larger, controlled trials are needed before drawing conclusions about benefits.

07 What patients can do
If you use a chatbot to think about symptoms, treat its answers as questions
to bring to a clinician, not as a diagnosis. Seek emergency care for warning
signs such as chest pain, trouble breathing or sudden weakness, without waiting
for any app. Avoid sharing sensitive health information with tools whose
privacy policies you do not understand. Writing down your symptoms, timeline
and medications before a visit can help any appointment. Ask your health system
whether it uses AI tools and how your data are handled. Tell your clinician if
you have used AI tools to research your symptoms. Your doctor remains
responsible for diagnosis and treatment decisions.

08 The long view on AI in medicine
AI tools are moving from laboratory tests to real clinics, and evidence is
beginning to accumulate. This study suggests a supervised diagnostic AI can
safely gather histories and support doctors in preparing for visits. For
patients, practical questions include: Who reviews what the AI says? How are my
data protected? Can I opt out? For health systems, the question is whether such
tools save time and improve care without adding risk. For regulators and
researchers, controlled trials and independent evaluations are the next step.
The long-view idea is that AI may be most useful as a partner in preparation,
not a replacement for clinical judgment. A good conversation is the start of
care, not the end of it.


The Takeaway

1 In a supervised feasibility study of 98 primary care patients, a diagnostic
AI chatbot completed pre-visit interviews with no safety stops.
2 The eventual diagnosis appeared in the AI's list of possibilities in about
90% of cases.
3 Doctors' management plans were rated more practical and cost-effective than
the AI's.
4 The study was small, single-center, uncontrolled and funded by Google.
5 The findings support further controlled testing, not using AI in place of a
clinician.
Stay patient, stay curious,
T.C. Brown
Editor, True Capital Talk


Sources & Further Reading

• Conversational diagnostic artificial intelligence in ambulatory primary
care: a prospective feasibility study —The Lancet, October 8, 2026
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• Ethics and governance of AI for health: guidance on large multi-modal models
—World Health Organization
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• Artificial Intelligence-Enabled Medical Devices — U.S. Food and Drug
Administration
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• Augmented intelligence in medicine — American Medical Association
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For educational and informational purposes only. Nothing here is a diagnosis,
treatment plan, or individualized medical advice. Do not rely on any AI tool
for medical decisions; consult a qualified clinician about symptoms or health
concerns.  


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