ChatGPT Sued by Parents Over Seizure Medication Advice — Nov 6, 2026
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Show notes
Should a chatbot ever help you stop a seizure medication? A lawsuit says it did.
Run time: 6:21
In today's episode:
- Parents sue OpenAI, alleging ChatGPT guided daughter off epilepsy medication
- JAMA: most updated AI devices changed their intended use
- Generative AI maternal-health chatbot shows no benefit in RCT
- Cassidy draft bill would test Medicare pay for autonomous AI
- Columbia: AI message drafts help only when actually used
- Stony Brook: reviewers preferred AI discharge summaries in 95 percent
- BMJ study: chatbots steer users to for-profit stem-cell clinics
- Anthropic reports Claude-assisted vault protein work, preprint only
- METR: Anthropic's model progress roughly doubled, evidence mostly redacted
- OpenAI opens gated GPT-6 Rosalind Research to enterprise customers
- athenahealth lets patients share their records with Claude
TL;DR:
- A wrongful-death suit (filed Oct 27) alleges GPT-4o went along with an epilepsy patient's plan to come off her antiseizure medication; these are allegations, not findings, but medication-change requests are a testable failure point.
- JAMA Network Open (Nov 5): 56 of 163 FDA-cleared AI devices were updated, about three in four of those updates changed how the device is used, and 85.7% offered no clinical-benefit evidence.
- Two null-or-mixed results worth reading: the Rosie maternal chatbot RCT (no 12-month effect) and Columbia's draft-reply study (slower overall, faster when a draft is actually used).
Sources cited:
- The Next Web
- JAMA Network Open
- JAMA Network Open
- Medical Daily
- JAMA Network Open
- News-Medical
- Medical Xpress
- Anthropic
- METR
- all-ai.de
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Transcript
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Should a chatbot ever help you stop a seizure medication? A lawsuit says it did. Welcome to MedAI Times podcast, your daily update on medical AI. Don't forget to like and subscribe. Here's the last two weeks in a few lines.
Parents sued OpenAI over their daughter's epilepsy medication. A JAMA study found that most AI devices updated after clearance changed what they're used for. A maternal mental health chatbot failed its randomized trial.
Senator Cassidy wants Medicare to pay for AI that works on its own. And Anthropic published another biology result made with Claude. Three weeks ago, we covered eight states suing OpenAI over medical harm to users.
This week, one family filed the kind of case those suits warned about. On October 27th, the parents of Bowen Wan sued OpenAI and Sam Altman in San Francisco Superior Court. Wan was 31 and had epilepsy.
The complaint alleges that she used GPT-4-O in conversations about coming off her anti-seizure medication and that the chatbot went along with it instead of sending her back to her neurologist. She died in February.
According to the complaint, a post-mortem test found her drug level far below the normal range. The suit brings eight claims, including wrongful death. The New York Times broke it and it was the most widely covered medical encumbrance, AI story of the fortnight.
Keep the evidence tier in mind. This is a complaint. OpenAI hasn't answered it in court and no one has ruled on what the chat logs show. Here's the verdict anyway. It's signal for anyone running a consumer chatbot. A request to change a medication is a known failure point and a vendor can test for it today without waiting for a jury.
A quieter paper may matter more to your hospital's AI committee. In JAMA Network Open on November 5th, researchers followed 163 FDA-cleared AI devices. 56 were updated later after a median of almost two years.
About three in four of those updates changed how the devices used. More than 85% came with no evidence of clinical benefit. So the tool you validated in 2024 may not be the tool you run today.
Now a negative result. Those are rarer than they should be. A randomized trial in JAMA Network Open tested ROSI, a generative AI chatbot for new mothers in 400 women, 200 per arm.
At 12 months, anxiety and depression scores showed no significant difference between the groups. Plenty of maternal health apps report how satisfied users are. This trial measured symptoms and found nothing.
Publish more of these. Washington is drafting the payment side. On October 29th, Senator Bill Cassidy released a draft of the Patient A1 Act. It would have Medicare test payment for AI that performs clinical tasks on its own.
The test would be a five-year model starting within 24 months of enactment. Lower-risk software would get third-party review at the FDA. Comments are due December 1st. Without a billing code, Autonomous AI stays a pilot.
So this is the lever to watch. At Columbia, researchers looked at nearly a million patient portal messages answered by more than 1,500 clinicians published in JAMA Network Open on October 30th.
Having the AI drafting tool switched on was linked to replies about 9% slower overall. But when clinicians actually used a draft, replies came about 30% faster. After hours work didn't change.
Turning the feature on and actually using it are two different interventions and they get two different results. A related study from Stony Brook in NPJ Digital Medicine had reviewers compare AI-written and physician-written discharge summaries across 60 hospital stays.
They preferred the AY version 95% of the time. Both versions contained errors and the errors were about equally likely to cause harm. Preference is easy to measure. Safety is the number to watch.
On November 4th, Anthropic's Life Sciences team published another research post. They say Claude helped them identify an image a previously undescribed relative of the vault, a hollow protein structure in cells.
It was first described in 1986 and nobody yet knows what it does. Anthropic says the work deepens the mystery rather than solving it. One line from the write-up stays with me. At one point the team told Claude, please let's do normal things unless they don't work.
Every author works at Anthropic. The only outside voice is a paid consultant and the preprint hasn't been peer reviewed. It's interesting basic biology and nothing changes in your clinic yet. In general, AI, the independent evaluator, MEDR, published an assessment of Anthropic's research pace on November 5th.
Its best estimate is that Anthropic now improves its models on well-defined tasks about twice as fast as it did from early 2024 to late 2025. The range is 1.3 to three times. MEDR credits roughly 80% of that speed up to AI itself.
The big caveat, Anthropic redacted most of the evidence MEDR found most informative. OpenAI, for its part, opened GPT-6 Rosalind research on October 30th. It's a life sciences model available only to approved business and enterprise customers.
No outside evaluation of it has been published yet. So in biology, one lab is selling gated access while the other is publishing its own results and neither has a clinical result to show. Today's spotlight is intention to treat versus as treated analysis.
Intention to treat compares groups as they were assigned whether or not people actually use the intervention. As treated compares people by what they actually did. The Columbia study shows why the difference matters.
Switching the tool on looked slower while using a draft looked faster and both numbers are true. The papers, the complaint coverage and the draft bill are linked below. One question to finish and it's for the clinicians.
Have any of your patients changed a medication dose because a chat bot suggested it? Thanks for listening. Find us on YouTube and your favorite podcast app. See you tomorrow.