Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – from ...

Among patients with chronic noncancer pain, a novel machine learning model effectively predicts opioid use disorder risk.

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Machine learning can enhance ARF outcome predictions but faces challenges like data quality, system heterogeneity, and clinician acceptance. High ARF mortality and mechanical ventilation risks ...

Please provide your email address to receive an email when new articles are posted on . AI and machine learning are becoming household terms. Anyone who invests in the U.S. stock market is familiar ...