A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...
In a recent IEEE Transactions on Neural Systems and Rehabilitation Engineering study, researchers discuss the development of an automated system using machine learning (ML) algorithms that can ...
In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...
RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
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 ...
Researchers at the University of Alabama at Birmingham now show a way to significantly cut the time needed for that analysis while utilizing more of the heart region, using deep learning and ...
Predictive model accelerates the development of nanoparticles as potential drug carriers for targeting neurodegenerative ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback