Cancer remains one of the leading causes of morbidity and mortality worldwide, characterized by complex genetic and molecular ...

Autoimmune diseases—including vitiligo, multiple sclerosis, systemic lupus erythematosus, type 1 diabetes, rheumatoid arthritis, primary biliary cirrhosis ...

In oncology and cardiology, AI’s strength lies in deep learning techniques applied to imaging and genomic data. Convolutional ...

A pilot program testing the use of artificial intelligence to expand prior authorization decisions in Medicare has providers, ...

Objective: In this study, we assessed the predictive capability of machine learning models for HT risk in AIS, aiming to inform the development of HT prediction tools. Methods: We conducted a thorough ...

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Governments have the right to decide how to spend money on science. Modelling shows that making instant cuts to grants ...

Heal, combines AI, imaging, and bioelectronics to speed up wound recovery. It continuously monitors wounds, diagnoses healing ...

Facing gaps in off-the-shelf solutions, some health systems are building their own artificial intelligence tools to better address clinical ...

Skoltech scientists and their colleagues from other Russian medical research centers and mental health institutions have ...

In two recent studies, University of Texas at Dallas researchers demonstrated how artificial intelligence (AI) and machine ...