Machine learning has revolutionized the field of biomedical research, enabling faster and more accurate development of algorithms that can improve healthcare outcomes. Biomedical researchers are using ...

An article recently published in Nature proposes a new way to evaluate data quality for artificial intelligence used in healthcare. Several documentation efforts and frameworks already exist to ...

It would be greatly beneficial to physicians trying to save lives in intensive care units if they could be alerted when a patient's condition rapidly deteriorates or shows vitals in highly abnormal ...

A review of studies published in JAMA Network Open found few randomized clinical trials for medical machine learning algorithms, and researchers noted quality issues in many published trials they ...

In a recent study published in the journal Nature Medicine, researchers used diffusion models for data augmentation to increase the robustness and fairness of medical machine learning (ML) models in ...

Amazon Web Services has unveiled a new machine learning tool that looks to help healthcare industry developers process bodies of unstructured medical text. Called Amazon Comprehend Medical, the ...

Stroke can be tricky to diagnose as patients don’t always present with classic symptoms, and other conditions can mimic it. Researchers have used existing data to develop a machine-learning model that ...

The promise of artificial intelligence (AI) technology is finally enjoying commercial success in many industries, including automotive, manufacturing, retail, and logistics, in the form of machine ...

Researchers have used a machine learning model to identify three compounds that could combat aging. They say their approach could be an effective way of identifying new drugs, especially for complex ...