Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.

Introduction The American Academy of Pediatrics and an editorial in The Lancet encouraged further comprehensive research on digital media’s impact on adolescent health. Given the lack of previous ...

Abstract: This work proposed an Interpolative Ensemble Stacker hybrid algorithm named Random Forest Classifier and Logistic Regression in the prediction and detection of liver disease. The ensemble ...

Patient-reported outcome measures and clinical scales were ineffective in predicting responses to full-agonist opioids for chronic pain.

Investing.com -- Tempus AI, Inc. (NASDAQ:TEM) stock rose 3.5% Wednesday after the precision medicine technology company announced the launch of its new HRD-RNA algorithm for cancer detection.

Tempus AI, Inc. (NASDAQ: TEM), a technology company leading the adoption of AI to advance precision medicine, today announced ...

Objectives Since 1985, the international healthcare community has recommended the ideal rate of caesarean section (CS) to be 10%–15% at the national level. The literature has reported that overused CS ...

A peer-reviewed study of 64,988 U.S. college students has drawn a sharp line between heavy social media use and loneliness, ...

Background Approximately one in three patients with acute ischemic stroke (AIS) suffer from a premorbid disability prior to ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Abstract: Landslides pose a significant threat to life and property. This research aims to develop a machine-learning model to predict landslide occurrences, focusing on logistic regression. Key ...