New research explores how artificial intelligence foundation models trained on electronic health record data can be tested to ...

A new development in wireless sensing technology that can reliably screen for five common pulmonary diseases could lead to ...

What is patient privacy for? The Hippocratic Oath, thought to be one of the earliest and most widely known medical ethics ...

The initial fear that the artificial intelligence and machine learning evolution will replace humans is shifting. A new ...

Researchers at Duke University combined Dynamic Optical Contrast Imaging (DOCI) with AI to improve thyroid cancer detection ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

The state is piloting a program that allows AI to legally participate in medical decision-making for patients with chronic ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92 % accuracy spoken ...

The future of healthcare isn’t about humans versus machines. It’s about humans with machines, working side by side.