Privacy and bias concerns and integration challenges are brakes on the pace of health care systems adopting the technology.

Artificial intelligence that detects surgical site infections from patient-submitted photos with 73% accuracy could enhance patient care and also reduce clinician burdens following surgeries.

In the current workflow for lung cancer patients, rapid genetic tests are often performed first. These tests use limited tumor tissue and leave about one in four patients without enough material for ...

A new clinical test may be able to predict which biologic may be the most effective for each individual with rheumatoid ...

This AI model from Mayo Clinic detects surgical site infections in wound images, improving early diagnosis and streamlining ...

Rochester, Minn.-based Mayo Clinic researchers have developed an AI tool to accurately identify signs of surgical site infection on postoperative online portal images, according to a study published ...

Computer-assisted oral and maxillofacial surgery (OMS) has been rapidly evolving since the last decade. State-of-the-art surgical navigation in OMS still suffers from bulky tracking sensors, ...

Patient-specific cardiac modeling combines geometries of the heart derived from medical images and biophysical simulations to predict various aspects of cardiac function. However, generating ...

The donation matching program is part of Regeneron's broader commitment to improving patient outcomes and supporting healthcare access.

A letter from House Republicans demands answers from California's public health insurance marketplace after it was uncovered the program was sharing sensitive patient information.

Millions of people will be able to sign up for life-changing clinical trials using the NHS app. Patients will have the chance to search for projects on their smartphone, giving them the chance to ...