ascopubs.org

Predictive modeling by tumor type: Comparing performance and feature importance of machine learning–based predictive models in patients with hematologic and solid tumors.

Benchmarking clinical reasoning and accuracy of large language models on breast oncology multiple-choice questions.
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

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

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Benzinga.com

What's Going On With Predictive Oncology Shares Tuesday?

Predictive Oncology, Inc. (NASDAQ:POAI) shares are trading higher on Tuesday after the company announced it developed predictive models to target various cancer types. The Details: The models were ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Forbes

The AI Revolution: How Predictive, Prescriptive, And Generative AI Are Reshaping Our World

Imagine having a crystal ball that could peer into the future, revealing valuable insights about what's to come. That's essentially what predictive AI does, minus the mystical hocus-pocus. This type ...