There is considerable overlap between children with medical complexity (CMC) and autism, with significantly higher expe ...

Johns Hopkins researchers used artificial intelligence to create the largest, most comprehensive dataset of abdominal organs ...

this study proposes a dynamic aggregation quantum federated learning algorithm (DAQFL) for intelligent diagnosis. Specifically, it utilizes quantum neural networks (QNNs) as local training models and ...

What will the industry face or achieve in 2025? These trends will be critical in medical device cybersecurity.

NHS clinics will use artificial intelligence to screen for breast cancer in a massive “landmark” trial. Almost 700,000 ...

A new editorial was published in Volume 16, Issue 22 of Aging (Aging-US) on December 11, 2024, titled “ISarcoPRM algorithm ...

The analysis of medical image data can be improved by artificial intelligence (AI) algorithms, latest research has claimed. A new study presented at the international competition AutoPET revealed that ...

Imaging is one of the most promising areas in detecting and analysing tumours; learning algorithms are now being developed to identify the location, size, and type of tumours from complex medical ...

Artificial intelligence (AI) is everywhere—from the chatbots we consult for customer support to tools predicting how diseases ...

and the University of Maryland Francis King Carey School of Law have co-authored a new framework to guide the medical establishment in evaluating the inclusion of sex in these algorithms.

Today's medical AI systems represent not just a new diagnostic tool, but a new kind of medical reasoning altogether, writes ...

Discover how AI is transforming urological cancer care with improved diagnosis, personalized treatments, and enhanced patient ...