Researchers at Academia Sinica and National Taiwan University Hospital have developed an AI-powered blood test that detects early-stage pancreatic cancer with near-perfect accuracy in validation ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

A closely watched clinical trial in Britain that screened blood for early detection of cancer did not show a reduction in diagnoses at later stages of the disease. By Rebecca Robbins and Gina Kolata A ...

Abstract: Melanoma is considered as one of the fatal cancer in the world, this form of skin cancer may spread to other parts of the body in case that it has not been diagnosed in an early stage. Thus, ...

In a prospective cohort study, the ultrasound-based International Ovarian Tumour Analysis (IOTA) Assessment of Different Neoplasias in the adnEXa (ADNEX) model at a threshold of 10% demonstrated ...

Abstract: Skin cancer is the leading and critical healthcare challenge and affects all age groups. This survey focuses on development in Machine Learning (ML), Deep Learning (DL) and hybrid techniques ...

Artificial intelligence may soon help identify dangerous skin cancers, including melanoma, thanks to groundbreaking research at the University of Missouri. The study used a database of over 400,000 ...

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 ...

Skin cancer is the most commonly diagnosed cancer in the United States, affecting one in five Americans during their lifetime. While basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs) ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.