Researchers have developed a machine learning model capable of predicting whether a patient with depression will respond to ...

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 ...

AI-driven platforms increasingly assist farmers in choosing when to plant, irrigate, fertilize, or harvest. These systems ...

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 ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

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 ...