Machine learning models could help diagnose ALS earlier through blood biomarkers

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic ...
European Medical Journal

Decoding the Digital Heart: Practical AI for Precision Diagnostics

THE LANDSCAPE of modern cardiology is undergoing a profound transformation, driven by the emergence of AI as a powerful tool ...
Healio

AI may help prevent lapses in care for people with congenital heart disease

Social determinants of health and disease complexity were both key factors influencing gaps in care for congenital heart ...
WLRN

'95% accuracy': FIU researchers use artificial intelligence to detect heart disease early

FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction. The future of heart ...
News Medical

Wearables and machine learning predict five-year fall risk in Parkinson’s patients

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 ...
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 ...