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 ...

Machine learning can help mental health patients get better outcomes, research shows

Debate continues over the role of artificial intelligence in treating mental health conditions, but new research shows that ...
European Medical Journal

AI-Enhanced Approaches to Interstitial Lung Disease: A Review of Machine Learning Advances

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
ascopubs.org

Prediction of Venous Thromboembolism in Patients With Cancer Using Machine Learning Approaches: A Systematic Review and Meta-Analysis

Physical Examination in Medical Oncology Guiding the Development of a Protocol for Teleoncology Care in a Public Health Care Oncology Service The prediction ML models showed good performance to ...
European Medical Journal

Machine Learning Improves Prediction of Urgent Care in Lung Cancer

Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...
Frontiers

Machine Learning and AI Tools for RNA Bioinformatics

The field of RNA bioinformatics is undergoing a transformative era marked by substantial advancements in sequencing technologies and data acquisition ...