
Weill Cornell Medicine reported improper use of patient information in radiology AI research, violating privacy protocols.
Key Details
- 1Incident discovered on Sept. 6 by Weill Cornell Medicine, prompting immediate investigation.
- 2Patient data from Weill Cornell Imaging at NewYork-Presbyterian and NewYork-Presbyterian Hospital was entered into AI tools without consent.
- 3Information accessed included radiology accession numbers, dates/times of service, and clinical information related to radiological exams.
- 4No names, addresses, contact, Social Security, or financial details were disclosed.
- 5Weill Cornell is expanding security measures and providing additional training in response.
Why It Matters

Source
Radiology Business
Related News

Open-Source AI Platform Powers Pediatric Bone and Fetal MRI Pipelines
Open-source AI platform successfully integrated and sustained two pediatric imaging pipelines for bone length and fetal MRI at a children's hospital.

AI’s Path in Radiology Hinges on Tech, Policy, and Human Insight
SIIM-CAIMI keynote highlights that AI's future in radiology depends on synchronized advances in technology, regulation, finance, and culture.

Meta Funds Ohio State’s Radiology AI Innovation Projects
Meta will fund Ohio State researchers to explore AI-driven advancements in radiology, including chest X-ray reporting and disease prediction.