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Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteNo. The available evidence does not show that AI makes doctors’ expertise obsolete—or that general-purpose AI can give a second opinion “much better informed than any doctor in the country.” Doctors are adopting AI, especially for information and paperwork, but reported use is not proof that AI produces better diagnoses or should replace clinical judgment.
What did RFK Jr. claim about AI and doctors?
At the September 29, 2026 Make America Healthy Again summit, HHS Secretary Robert F. Kennedy Jr. recounted a conversation with OpenAI CEO Sam Altman. Kennedy attributed to Altman the statement that it would be malpractice for a doctor to diagnose or prescribe without checking AI. Kennedy then said AI could review a long medical record and provide a second opinion “much better informed than any doctor in the country.” The transcript records Kennedy’s account; it does not independently verify that Altman said those words. Read the summit transcript.
That is a sweeping comparison, not a demonstrated clinical finding. To establish that an AI is better informed or makes better decisions, evidence would need to specify the system, clinical task, patient population, comparison standard, and outcomes. The cited sources do not provide a broad comparison showing that AI outperforms doctors across medicine.
How are doctors actually using AI?
The American Medical Association’s 2026 Physician Survey on Augmented Intelligence included nearly 1,700 physicians across specialties, practice settings, and career stages. It measures what physicians reported using and how they feel about AI; it is not a clinical trial or an independent test of diagnostic accuracy.
| Survey finding | What physicians reported |
|---|---|
| Professional AI use | 81% in 2026, compared with 38% in 2023 |
| Average AI use cases per physician | 2.3 in 2026, compared with 1.1 in 2023 |
| Summaries of medical research and standards of care | 39% |
| Discharge instructions, care plans, or progress notes | 30% |
| Billing-code, chart, or visit-note documentation | 28% |
| Chart summaries | 28% |
| Assistive diagnosis | 17% |
These are AMA survey results, not direct measurements of improved care. The figures show a pattern: many physicians report using AI, with common uses involving research summaries and clinical documentation; a smaller share report assistive diagnosis. See the AMA survey findings and its 2026 comparison with 2023.
Does AI use mean doctors trust it to make decisions?
No. Adoption, confidence, and clinical performance are different things. More than three-quarters of respondents said AI improves their ability to care for patients, up from 65% in 2023. At the same time, 88% reported at least some concern about AI-related skill loss, and 70% were very or somewhat concerned about skill loss among medical students and residents. Those responses measure concern, not proven loss of skill.
- 86% cited data privacy as critical to broader adoption.
- 88% cited robust safety and efficacy validation as critical to broader adoption.
The results point to both interest and unresolved questions. They do not establish that AI produces better patient outcomes, and concern about possible harms does not establish that those harms have occurred.
Why does physician oversight matter?
The AMA’s June 10, 2026 policy announcement describes AI as an assistive tool, not an autonomous decision-maker, and calls for physician oversight in patient care. Its principles include transparency, accountability, evidence-based information, attribution of evidence, evaluation, validation, explainability, and regular audits of clinical review tools. AMA CEO John Whyte summarized the position: “AI has enormous potential in healthcare, but it cannot replace physician judgment.” Read the AMA policy announcement.
The AMA uses the phrase “augmented intelligence” to emphasize that AI “enhances human intelligence rather than replaces it.” This is the association’s framing of AI’s role, not a measured claim that every tool improves care. The AMA explains its terminology.
“Medical AI” also covers different kinds of software. An AMA policy document approved in November 2023 describes FDA regulation of AI-enabled medical devices while noting that some non-device AI, including certain clinical decision-support functions, falls outside FDA oversight. That document is a dated policy description, not a complete account of FDA jurisdiction in 2026. The practical point is that oversight depends partly on what a tool does; it should not be assumed to be identical for every healthcare AI system. Read the AMA testimony and policy principles in the Senate hearing record.
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How can patients use AI without treating it as a doctor?
Use AI-generated information as a starting point for a conversation, not as a diagnosis or prescription. A chatbot may help organize questions or summarize information, but the cited evidence does not establish that a general chatbot has reviewed your full medical context or can safely replace a clinician.
- Ask for help preparing, not deciding. For example: “What questions should I ask my clinician about these symptoms?” Treat the response as a list of prompts, not a conclusion.
- Bring the output to a qualified clinician. Share what you asked and what the tool said, especially if it suggests a diagnosis, test, or treatment.
- Check whether the answer shows its basis. Ask what evidence or guidance it relies on. A confident tone is not evidence, and an unsupported answer should not be treated as authoritative.
- Protect private information. The AMA survey found that physicians identify data privacy as a critical issue for broader adoption. Avoid entering identifiable health details into a service unless you understand its privacy terms and have a reason to trust its handling of that information.
- Do not let an AI answer delay care. If you need medical attention, contact a healthcare professional rather than relying on a chatbot to decide whether symptoms are serious.
What would a fair AI-versus-doctor comparison need to show?
“AI versus doctors” is too broad to answer with one ranking. A useful comparison would have to pin down the particular task and the consequences of being wrong, then establish whether the system has been validated for that use and how a clinician reviews its output.
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- Task: Is the tool summarizing records, retrieving information, helping with diagnosis, or recommending treatment?
- Validation: Has it been evaluated for that specific task and patient population?
- Evidence: Can it attribute its answer to reliable medical information, and can that basis be checked?
- Patient context: Does the decision account for the patient’s history and circumstances?
- Risk and oversight: What happens if the answer is wrong, and is a qualified clinician responsible for reviewing it?
These distinctions matter because a tool that helps with a note or research summary is not thereby proven safe or superior as an autonomous diagnostician. CNN medical analyst Jonathan Reiner said he expects AI to become integrated into office visits and may support guideline-based practice, patient questions, and reduced chart work. He described that prospect as bringing patients and doctors closer together—not making doctors obsolete. That is his view, not a product evaluation. Read the CNN transcript.
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