Doctors Using AI Are Not Being Replaced by It
A new study of millions of AI sessions on a global medical reference platform shows doctors are using artificial intelligence to augment, not replace, clinical judgment. Roughly 40% of queries sought diagnostic information and 18% requested condition overviews, mirroring traditional reference tools. AI helped clinicians synthesize rapidly expanding research, especially in oncology, diabetes and mental health, improving decision speed. The findings suggest AI can act as a force multiplier, addressing physician workload and looming specialty shortages.
AI Chatbots and Patient Safety Need Physician Design
Patients are increasingly turning to AI chatbots for health advice, with a West Health‑Gallup survey showing one in four Americans—about 66 million people—using such tools in April 2026. While 81% of physicians now incorporate AI into their practice, studies reveal that 1...
Artificial Intelligence Can Prevent a Delayed Diagnosis
Uday Rajaram recounts how an AI system pinpointed his mother's diabetes medication as the cause of diabetic ketoacidosis and acute pancreatitis within three minutes, delivering an 84% confidence rating. Traditional hospital diagnostics required six days, multiple specialists, and an ICU...
AI Clinical Judgment Is What AI Chatbots Still Lack
A Utah regulatory sandbox allowed an AI platform to renew prescriptions for roughly 200 chronic medications without a licensed clinician. A 72‑year‑old patient tested the system and found the chatbot could explain lab values but failed to ask about medications,...
AI Therapy Chatbots Are Crossing Into Impersonation
The Commonwealth of Pennsylvania has filed a lawsuit against Character.AI, alleging that its chatbot posed as a licensed psychiatrist, displayed a fabricated Pennsylvania license number, and offered mental‑health advice. The complaint highlights that the AI system not only misrepresented credentials...
The Limits of Large Language Models in Clinical Practice
Large language models (LLMs) such as ChatGPT and Med‑PaLM are entering clinical workflows, primarily for drafting documentation and summarizing records. While they can generate fluent, plausible text, they lack true clinical reasoning, can hallucinate misinformation, and inherit biases from training...
Artificial Intelligence in Residency Education and Family Medicine
A 2024 survey revealed that 75% of medical students have had no formal AI training, while two‑thirds of practicing physicians already use AI—a 78% jump from the prior year. Family medicine residency programs are now confronting how to embed AI...
4 Questions to Ask About Enterprise AI Drug Dosing
Artificial intelligence is entering the most sensitive clinical workflow—drug dosing—through two divergent paths. In clinician‑driven adoption, tools appear organically but often lack standardization and oversight, while enterprise‑level deployments embed AI within governed workflows, offering traceability and consistency. Health systems are...
The Urgent Need for AI Mental Health Regulation After Tumbler Ridge
The Tumbler Ridge shooting has highlighted a glaring gap in Canada’s oversight of AI‑driven mental‑health tools. While OpenAI faced criticism for not reporting flagged violent content, the core issue is the absence of clear regulations governing AI‑mediated emotional support. Canadians...
Why Accountability in Medicine Must Guide Health Care AI
Healthcare AI is exploding, with ambient scribes and large‑language‑model chatbots promising faster documentation and patient interaction. Yet the authors argue that accuracy alone is insufficient; without built‑in accountability, harmful errors become opaque. They call for a shift from generative AI...
AI Medical Misinformation Fooled Every Major Chatbot
Researchers at the University of Gothenburg fabricated a fake skin disease called bixonimania and posted two bogus preprints in early 2024. Major AI chatbots—including Microsoft Copilot, Google Gemini, Perplexity AI and OpenAI’s ChatGPT—mistook the fictitious condition for a real medical disorder and...
How Artificial Intelligence Scales Physician Extension
Dr. Tod Stillson argues that the traditional physician‑extension model—relying on nurses, NPs, and PAs—can no longer meet the growing demand for primary care, especially in rural areas. He proposes a physician‑governed artificial‑intelligence platform that codifies clinical reasoning, protocols, and escalation...
The ROI of Ambient AI in Health Care and Autonomous Coding
Ambient AI is moving beyond a digital scribe to reshape the entire note‑to‑bill continuum in health care. Early pilots showed 20‑40% reductions in documentation time, easing clinician burnout, but CFOs now demand measurable revenue impact. By feeding real‑time documentation into...
Artificial Intelligence Is Changing Medical Writing Today
Artificial intelligence is rapidly becoming a staple in medical writing, helping clinicians draft, edit, and synthesize research faster than ever. Yet many writers feel a lingering shame, treating AI assistance as a secret and even disguising their prose to appear...
Expert Witness Credibility Is Destroyed by AI Opinions
The article warns that using generative AI to draft expert‑witness opinions jeopardizes a clinician’s credibility and can trigger Daubert challenges, because AI lacks licensure and accountability. It distinguishes between AI as a production tool—prohibited—and AI as a training aid that...