What AI Gets Wrong About Black Box Warnings — And Why Pharma Can’t Ignore It
Every month, tens of millions of patients and physicians type drug safety questions into ChatGPT, Gemini, Perplexity, and Claude. The […]
Every month, tens of millions of patients and physicians type drug safety questions into ChatGPT, Gemini, Perplexity, and Claude. The […]
When a patient types ‘can I take metformin with alcohol’ into ChatGPT, they are not browsing WebMD. They expect a
Somewhere between medical affairs, pharmacovigilance, digital marketing, and IT, there is a gap large enough to swallow a drug brand.
Last year, a patient asked ChatGPT whether it was safe to take semaglutide with a sulfonylurea. The model answered confidently.
FDA-approved drug labeling is one of the most carefully negotiated documents in modern medicine. Every word is litigated, every contraindication
A physician in Phoenix opens ChatGPT and types: “What’s the best GLP-1 for weight loss in a patient with type
A patient asks ChatGPT whether they can take Eliquis with ibuprofen. The model answers confidently. The answer is wrong. No
A patient asks ChatGPT whether their antidepressant can help with chronic pain. Another asks Gemini if a GLP-1 drug will
A patient with newly diagnosed Type 2 diabetes asks ChatGPT which medication her doctor is most likely to prescribe. The
When a patient asks ChatGPT whether they can take Ozempic with metformin, the answer they get is not pulled from
When a patient asks ChatGPT whether they can take semaglutide with metformin and gets a confident, partially wrong answer, four
Every day, millions of patients type questions about their prescriptions into ChatGPT, Gemini, Claude, and Perplexity. They ask whether Ozempic
Get sharp analysis on AI-generated drug information, off-label curiosity, pharmacovigilance blind spots, and the shifting intersection of pharma, search, and large language models. No fluff. Just the signals that matter.