A machine learning-powered smartphone application could help patients with a chronic cough document their symptoms over an extended period of time, according to new findings published in Digital Biomarkers.

Researchers have developed a cost-effective technique for breast cancer screening that does not require radiation exposure.

Nocturnal enuresis (NE), or bedwetting, affects up to 20% of 5-year-old children and 5% of 10-year-old children.

An AI-powered wearable sensor can detect changes in heart failure patients before an actual crisis occurs, according to new findings published in Circulation: Heart Failure.

A new international partnership is focused on using AI technology to take a closer look at the human brain and advance amyotrophic lateral sclerosis (ALS) research.  

After poring over the chemical compositions of more than 107 million molecules used to make all sorts of drugs, a machine learning algorithm has plucked out one unexpected candidate that may be medicine’s best hope yet against dreaded superbugs.

Healthcare AI giant IBM Watson Health has introduced software that can help medical researchers design clinical studies right the first time so as to minimize the need for tweaking and fine-tuning while their study is underway.

Researchers have developed two AI-powered tools for automatically extracting key information from free-text pathology reports. The team shared its findings in the Journal of the American Medical Informatics Association.

AI technology could replace countless jobs in the not-so-distant future, making an impact on workforces all over the world. According to a new analysis published in Information and Organization, researchers and policymakers alike should pay especially close attention to this development and get involved now—before it’s too late.

Researchers have used AI technology to predict a patient’s chance of death, heart attack or stroke better than human doctors, sharing their findings in a new study in Circulation.

AI models can be trained to predict outcomes in meningioma patients, according to new research published in npj Digital Medicine. The study’s authors even developed a free smartphone app so others can explore their work.

AI promises to make a titanic impact on radiology, but most of the attention tends to focus on its ability to identify important findings in medical images. What about the technology’s non-interpretive qualities?