An artificial intelligence (AI) algorithm used to detect breast cancer in screening scans has been adapted into a risk score ...

Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...

Three academic perspectives offer insights on the persistent misconceptions about artificial intelligence in healthcare.

Katie Palmer covers telehealth, clinical artificial intelligence, and the health data economy — with an emphasis on the impacts of digital health care for patients, providers, and businesses. You can ...

A new advanced artificial intelligence (AI) algorithm more accurately model how genes associated with specific autoimmune diseases are expressed and regulated and to identify additional genes of risk.

From AI-enabled drones in Ukraine to debates over killer robots, experts are arguing how artificial intelligence is ...

AI in healthcare presents significant opportunities to enhance diagnostic accuracy, personalize treatment, and improve patient management through predictive analytics and precision medicine. Key ...

Artificial-intelligence programs, like the humans who develop and train them, are far from perfect. Whether it’s machine-learning software that analyzes medical images or a generative chatbot, such as ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI (54%) or plan to use it within their investment strategy or asset-class ...

As artificial intelligence becomes a larger part of our world, it’s easy to get lost in its sea of jargon. But it has never been more important to get your bearings than today. AI is poised to have a ...