Medical records could be revealed by AI training-data vulnerability

Why patients should be cautious about AI scribing systems in medical appointments

Emily M. Bender and Decca Muldowney argue against the use of AI-powered automatic scribing systems in healthcare settings. The article detai

Physicians Face Liability Risks as AI Diagnostic Tools Enter Clinical Medicine

This article examines the trust gap between physicians and AI diagnostic tools in clinical medicine. While AI can analyze vast datasets and

Privacy Risks of Sharing Medical Information with AI Chatbots

The article examines the privacy and security risks of sharing personal health information with AI chatbots like ChatGPT. While millions use

A machine-learning model trained on thousands of electrocardiogram recordings identifies a previously unrecognized group of at-risk people

AI model trained on routine ECGs detects hidden patterns linked to sudden cardiac death risk, UC Berkeley study finds

UC Berkeley researchers have developed an AI model trained on routine ECGs that can detect hidden patterns associated with sudden cardiac de

AI Training Data Set Exposes Millions of Personal Records

Researchers discovered that a major AI training data set, DataComp CommonPool, contains millions of examples of personal data, including ide