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Weill Cornell patient data entered into AI tools without authorization

DataBreaches.netby Dissent ()2 min read
AI summary · x-ai/grok-4.7Summaries by Vani AI

Imaging data was processed from June 10 to June 20; the notice does not state how many patients were affected.

Weill Cornell Medicine said patient health information was entered into AI tools and processed with machine learning without authorization during a radiology research study. It learned of the incident on September 6. Data from Weill Cornell Imaging at NewYork-Presbyterian or NewYork-Presbyterian Hospital was entered between June 10 and June 20, violating policy. Weill Cornell requested deletion; its notice gives no patient count and does not say whether HHS was notified.

Unconfirmed: Deletion of all submitted data is unconfirmed, and the patient count and HHS notification status are not stated.

Key facts
  • A November 5 notice said the use violated Weill Cornell policies.
  • Medical record numbers were involved even if patient names were not.
  • DataBreaches.net asked whether deletion of the data was acknowledged.
  • The website notice does not say whether HHS was notified.
Security assessment · AI, from the article

Impact: Unauthorized processing of patient health information

Analyze this story with Vani AIImpact, who is affected and what defenders should do, in a new chat

From the original article

2 min read at databreaches.net

Naomi Diaz reports: New York City-based Weill Cornell Medicine disclosed that patient health information was entered into AI tools and processed using machine learning without authorization as part of a radiology research study. Weill Cornell learned of the incident Sept. 6 and launched an investigation, which determined that certain patient information from Weill Cornell Imaging...

DataBreaches.net

By Dissent · databreaches.net

Read the full article at DataBreaches.net

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.