The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Business Wire

Exactech Publishes New Machine Learning Research That Evaluates Fairness and Accuracy of AI Predictions

GAINESVILLE, Fla.--(BUSINESS WIRE)--Exactech, a developer and producer of innovative implants, instrumentation, and smart technologies for joint replacement surgery, reports a new study 1 that ...
TCTMD

New Machine Learning-Based Tool Predicts Individual Post-PCI Outcomes

A novel machine learning-based algorithm can predict individualized risk of death and complications after PCI, as demonstrated in a new analysis. The Blue Cross Blue Shield of Michigan Cardiovascular ...
Medical Dialogues

Machine Learning May Predict Postoperative Complications after Laparoscopic Cholecystectomy: Review Suggests

Pakistan: Researchers have found in a new study that machine learning models show strong promise in predicting postoperative ...
ascopubs.org

Using Machine Learning to Predict Unplanned Hospital Utilization and Chemotherapy Management From Patient-Reported Outcome Measures

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Clinical trial data were used and contained ...
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 ...