Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...
Experts at the University of Oxford have found a way to use artificial intelligence to predict the future as part of ...
AI can quantify breast arterial calcifications on routine mammograms and flag women with higher cardiovascular risk, enabling ...
Researchers developed and validated a new lung cancer prediction model, Sybil-Epi, by integrating clinical and epidemiologic data with a pre-existing model.
The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...
Abstract: Cardiovascular disease is the primary cause of death globally, necessitating early identification, precise risk classification, and dependable decision-support technologies. The advent of ...
Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...
Abstract: Chronic kidney disease (CKD) progressively impairs kidney function, leading to severe health complications if not detected early. This study develops and evaluates machine learning models to ...