Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

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 ...

Researchers conducted a review of studies on AI use in oncology nursing to determine its potential role in clinical practice.

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

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 ...

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

Depression and anxiety have been well documented in people with multiple sclerosis (MS), but often are undiagnosed or untreated. A machine learning model may help by analyzing routinely collected ...

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 ...