Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...
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 ...
AI chatbot achieves high accuracy in performing clinical patient diagnostic interviews for common mental health disorders.
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Tech Xplore on MSN
Why can’t powerful AIs learn basic multiplication?
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
News-Medical.Net on MSN
Automated system improves deep learning accuracy in chest radiography analysis
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
The PLA is already testing technologies that range from widespread sensors to AI-enabled predictive planning, cargo drones, ...
Tech Xplore on MSN
AI overestimates how smart people are, according to economists
Scientists at HSE University have found that current AI models, including ChatGPT and Claude, tend to overestimate the ...
Delivery estimate accuracy (DEA) refers to the ability of an ecommerce business to correctly predict when a customer’s order ...
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