Using a real-world, nationwide electronic health record–derived deidentified database of 38,048 patients with advanced NSCLC, we trained binary prediction algorithms to predict likelihood of 12-month ...
Deep Learning-Based Dynamic Risk Prediction of Venous Thromboembolism for Patients With Ovarian Cancer in Real-World Settings From Electronic Health Records Data collected in the multicentric PRAIS ...
To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points, the researchers employed random under-sampling techniques, ensuring the ...
News-Medical.Net on MSN
New AI models detect dementia with high accuracy using EEG signals
Researchers at örebro University have developed two new AI models that can analyze the brain's electrical activity and ...
POTOMAC, Md., Nov. 10, 2025 /PRNewswire/ -- Z Advanced Computing, Inc. (ZAC), the pioneer CognitiveExplainable-AI (Artificial Intelligence) (Cognitive XAI or CXAI) software startup, has been ...
Soon, researchers may be able to create movies of their favorite protein or virus better and faster than ever before. Researchers at the Department of Energy's SLAC National Accelerator Laboratory ...
As organizations integrate data-driven insights into their operations, predictive screening models are emerging as both a ...
Ben Khalesi covers the intersection of artificial intelligence and everyday tech at Android Police. With a background in AI and data science, he enjoys making technical topics approachable for those ...
A research team has mapped how machine learning is transforming the global tea industry, revealing that data-driven ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback