Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even when using clear definitions (such as “Civil War,” “Invasion,” or “Local ...

New TMS biomarkers combined with machine learning accurately classified major depressive disorder. Learn more about this ...

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

In imaging, AI systems have demonstrated superior accuracy in breast cancer screening and skin lesion classification, often surpassing experienced clinicians. AI revolutionizes cancer care by ...

Dr Michele Orini shares how machine learning can help identify critical VT ablation targets for a safer, data-driven ...

Mental health is not to be reduced to simple discrete classifications, but that's what AI is doing to us. AI can be ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

Assistant Professor Yupeng Zhang and his team, along with researchers from the University of California, Irvine, received a ...

The electrocardiogram (ECG) is an important tool for exploring the structure and function of the heart due to its low cost, ease of use, efficiency, and non-invasive nature. With the rapid development ...