Today, Explained Paging Dr. ChatBot
144 snips
Oct 26, 2025 
In this episode, Dhruv Kular, a physician and health researcher, shares insights on the rise of AI in medical care, discussing the benefits and risks of patients self-diagnosing with chatbots. Eric Topol, a physician-scientist, explores how AI could enhance doctor-patient interactions by reducing clerical work. Both guests address concerns about bias in AI systems, emphasizing the need for equity in healthcare. They also highlight AI's potential to reduce diagnostic errors and improve patient outcomes, fostering hope for the future of medicine.
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Fluency Doesn’t Equal Accuracy
- Chatbots are highly persuasive and fluent, which makes their confident but incorrect outputs dangerous.
- Their goal is to produce convincing language, not guaranteed clinical accuracy, so verify their outputs with clinicians.
Use AI For Triage And Visit Prep
- Ask chatbots to rate urgency, list possible conditions, and highlight red-flag symptoms instead of only requesting a diagnosis.
- Use AI to interpret lab results and prepare questions for your next visit to improve clinical conversations.
Structure Inputs To Reduce Hallucinations
- Avoid relying solely on symptom-to-diagnosis prompts; instead, probe for urgency, red flags, and likelihoods.
- Feed the AI structured clinical data (visit notes, labs) to get more reliable, context-aware responses.
