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 ...
Enlaye, a holistic artificial intelligence-enabled construction risk platform, has raised $5 million to expand its predictive ...
Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.
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 ...
Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
Effective risk stratification in cancer survivorship requires handling longitudinal data characterized by multimodal inputs, irregular follow-up, and recurrent clinical events. This study evaluated ...
IMDRF finalizes good machine learning practice, software risk documents The International Medical Device Regulators Forum (IMDRF) on Wednesday finalized two highly anticipated technical documents ...
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