In many regions, doctors practice in settings with limited medical resources. Advanced tests, specialist support, and expert ...

A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems.

An artificial-intelligence system in China is quietly spotting one of the most lethal cancers before patients—or their ...

Cancer is the second leading cause of death worldwide. Since age is one of the risk factors for the development of cancer, ...

Abstract: Image quality assessment (IQA) plays a fundamental role in evaluating image processing. Currently, JPEG AIC specifies the IQA methods, dividing them into three levels: AIC-1, 2, and 3. AIC-1 ...

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 ...

Abstract: Classification of pathological images is the basis for automatic cancer diagnosis. Despite that deep learning methods have achieved remarkable performance, they heavily rely on labeled data, ...

Share on Pinterest Cannabis derivatives may lead to new treatments for ovarian cancer. Image Credit: Bloomberg Creative Photos/Getty Images Early lab research shows that two cannabis compounds, THC ...

Educational framework for gastric cancer risk stratification using Cox proportional hazards and logistic regression models. Implements Han 2012 D2 gastrectomy survival nomogram with TCGA validation.

Satellite image classification is an important and challenging task in the modern technological age. Satellites can capture images of danger-prone areas with very little effort. However, the size and ...