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 ...
Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...
Colonoscopy quality indicators for colorectal cancer precursors: Sessile serrated lesion and adenoma detection rates from a large clinical study of a blood-based test for CRC screening. This is an ...
Machine learning models could help clinicians estimate individualized risk for major complications among women undergoing ...
Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...
Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence–Based Prognosis for Patients With Advanced Solid Tumors Consecutive inpatients who underwent ...
Generative Artificial Intelligence (AI) and Machine based learning platforms as well as analyses of large databases represent a fast-moving area of ...
The proposed framework combines machine learning and earthquake engineering to prioritize high-risk buildings, optimizing ...
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