Abstract: After all advancements in technology and times, prediction and prevention of heart diseases is still a major issue in modern days. Heart diseases play a major role in high death rate in ...
Christmas tree farms around the world are increasingly turning to drones, artificial intelligence (AI), satellite imaging, ...
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 ...
You might have seen headlines sounding the alarm about the safety of an emerging technology called agentic AI.
MIT researchers have developed a new method for designing 3D structures that can be transformed from a flat configuration ...
In spontaneous intracerebral hemorrhage patients, features of hematoma expansion can be visualized and predicted from non-contrast computed tomography using transport-based morphometry.
The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
Abstract: In the rapidly evolving landscape of smart grid cybersecurity, the integration of artificial intelligence and machine learning algorithms has emerged as a pivotal element in fortifying ...
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