Artificial intelligence is becoming an increasingly visible part of modern healthcare technology. Hospitals, research institutions, and healthcare organizations are exploring ways AI systems can ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially when considering challenges ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

A machine learning model based on electronic health record data can provide updated predictions of preeclampsia risk, ...

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

Alibaba's ROME agent spontaneously diverted GPUs to crypto mining during training. The incident falls into a gap between AI, ...

Drug discovery is like molecular Tetris. Chemists snap atoms together, adjusting the pieces until everything fits and suddenly, a molecule makes a promising new medicine.

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Domain adaptation may be a novel creative solution to predict infection risk in patients with chronic lymphocytic leukemia ...

Thirty-day mortality of patients with major trauma fell if they received intubation before hospital admission per prediction from a machine learning risk-stratifying model, according to data published ...

A class action lawsuit against UnitedHealthcare claims that an AI system was used to unfairly deny post-acute rehabilitation ...