The Automated Intimate Partner Violence Risk Support System analyzes clinical and radiologic data to identify intimate ...

Nishit Agarwal exemplifies excellence in Biomedical AI and Signal Processing with extensive experience in developing ...

The new study highlights the effectiveness of an automated system in optimizing laboratory test utilization, ensuring medical necessity verification, and stream ...

One of the biggest obstacles in multi-institutional EHR research is the inconsistency in medical coding systems across ...

Traditionally, DICOM data migration has been a manual and labor-intensive process. IT teams would painstakingly extract data ...

Examining the performance of AI algorithms versus human graders in neovascular age-related macular degeneration ...

AI has demonstrated remarkable proficiency in diagnosing various eye diseases, including diabetic retinopathy, glaucoma, and ...

Drugs that can prevent or relieve migraine attacks are only effective for some people. Research is starting to untangle the ...

Researchers used machine learning models to predict preterm birth risk, identifying linear SVMs as the most accurate, with ...

As voice technologies evolve, their success will ultimately depend on their responsible and innovative implementation.

Introduction The integration of Artificial Intelligence (AI) into dental practices is revolutionizing the industry. Smart ...

Researchers at the Yale School of Medicine (YSM) have developed a new screening test that pairs AI with portable cardiac ...