To move closer to that future, Mizzou researchers are developing highly accurate AI models that can examine images of patients' skin and evaluate subtle visual patterns—including the size, shape, ...
A growing movement of technically sophisticated patients are channeling their diagnoses into AI systems that address gaps ...
Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
Gynecologic malignancies—including cancers of the ovary, cervix, uterus, vulva, and vagina—remain a significant global health concern, often presenting ...
AI is transforming oncology by improving early detection, diagnosis, and treatment personalization through advanced data ...
Abstract: Alzheimer's disease, a common form of dementia, progressively impairs cognitive abilities, leading to dependency on assistance. Traditional detection methods like MRI scans are often ...
The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...
Abstract: Skin cancer ranks among ubiquitous malignancies, its prevalence escalating due to ecological shifts and protracted ultraviolet (UV)exposure. This study aims to address the pressing need for ...
RHINELANDER (WJFW) — New technology for detecting breast cancer has made it to the Northwoods to help patients get results sooner. In mid-September, Aspirus Rhinelander upgraded its 3D mammography ...
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. Self-service kiosks at the ...
Researchers in China have built a neuromorphic robotic electronic skin that allows humanoid robots to sense touch, detect injury, and respond to harmful contact with rapid, reflex-like movements ...