Roles that barely existed a few years ago, such as large language model (LLM) specialists, AI product leads and data pipeline ...
A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...
A new computational model of the brain based closely on its biology and physiology has not only learned a simple visual ...
Adnan and colleagues evaluated machine learning models’ ability to screen for Parkinson’s disease using self-recorded smile videos. 2. The models achieved high sensitivity and specificity among ...
The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...
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 ...
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Study shows reliable model to predict licensure exam outcome
A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...
AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
Every frontier model breaks under sustained attack. Red teaming reveals the gap between offensive capability and defensive readiness has never been wider.
Policymakers across Europe and the United States are moving to classify many clinical AI tools as high-risk systems, ...
The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...
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