A comprehensive invited review published today in Brain Medicine confronts one of the most persistent paradoxes in modern medicine: psychiatry remains the only major clinical discipline that diagnoses ...
Cambridge researchers map the convergence of biomarkers, digital phenotyping, and AI toward biologically grounded ...
Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback ...
AI is becoming a standard investing tool, as it helps cut through the noise, personalize portfolios and manage risk. That ...
Apple's autocorrect on iPhone and iPad always aims to help when you're typing a message, but it's by no means perfect, and some of the replacements it continually spews out can be frustrating.
Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
Text-based depression estimation using natural language processing has emerged as a feasible approach for early mental health screening. However, most existing reviews often included studies with weak ...
Abstract: This study explores a machine learning approach for detecting and classifying fetal health which is a crucial aspect in ensuring proper care and wellbeing of both fetus and the mother. The ...
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