A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.
A machine learning system uses four wearable sensors to assess balance exercise difficulty and provide AI-driven feedback to ...
Harvard University presents its eight-week online course through edX, which imparts to students essential knowledge of ...
Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements ...
Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance ...
jDepartment of Genetics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA kDepartment of Medicine, University of North Carolina at Chapel Hill School of Medicine, ...