Artificial intelligence (AI) captures uncertainty in medical scans
Editor's Note Artificial intelligence (AI) is a useful tool for helping clinicians to determine health problems from medical imaging, but AI often provides just one answer, when there may be a number of possible interpretations. Now, researchers from MIT, the Broad Institute of MIT and Harvard, and Massachusetts General Hospital…
Augmented reality headset enables real-time data visualization during surgery
Editor's Note Successful use of augmented reality in a cardiac ablation procedure holds additional promise for training as well as more advanced OR applications, according to a February 29 report from Stanford Medicine. During ablation, a treatment for heart arrythmias, surgeons typically refer to as many as eight screens depicting…
WHO urges cautious approach to generative AI healthcare applications
Editor's Note: The World Health Organization (WHO) has released recommendations around the ethics and guidance of artificial intelligence (AI)-based large language models (LLMs) in healthcare applications. In a January 18 announcement, the organization recognized that AI LLMs, with their ability to analyze and interpret data, have a wide range of…
HCA, Google Cloud bringing generative AI to hospitals
Editor's Note The Healthcare Corporation of America (HCA), on August 29, announced a new collaboration with Google Cloud to bring generative artificial intelligence (AI) to its hospitals. Emergency department physicians at four HCA hospitals are already using Google’s AI technology and Augmedix to create accurate and timely medical notes from…
HHS: ARPA-H project to strengthen healthcare cybersecurity
Editor's Note The US Department of Health and Human Services (HHS) Advanced Research Projects Agency for Health (ARPA-H) announced that it is seeking proposals through September 7 to help fund and develop cybersecurity technologies for healthcare systems, clinics, and healthcare-related devices, the August 17 WIRED reports. The Digital Health Security…
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