Computer scientists in Canada and the U.S. have built an AI-powered search engine for clinicians and researchers engaged in the battle against COVID-19.

A new deep learning algorithm can evaluate 134 different skin disorders, predicting malignancy and recommending key treatment options, according to new findings published in the Journal of Investigative Dermatology.

Representatives from the two companies emphasized that its effectiveness is still being validated. At this stage, it is to be used for research purposes and not as a diagnostic tool.

Researchers have used machine learning to develop a blood test that can find 50 or so types of cancer.

A healthcare AI company has spotted several unexpected, off-label drug combinations that may do the job against COVID-19. In any case, the company is offering its complete AI toolkit free of charge to drug developers working on COVID treatments.

Stanford researchers have developed a way to screen for lung cancer by combining next-gen molecular DNA quantification with machine learning. The experimental technique requires only a blood test and could, with refinement, replace low-dose CT scanning as an initial exam for longtime smokers.

The White House is working with IBM and the U.S. Department of Energy to launch a sprawling public-private consortium aimed at rapidly “unleashing the full capacity of America’s world-class supercomputers” to fight COVID-19.

AI experts are being tasked with addressing the new coronavirus pandemic and using machine learning to mine a new dataset released by The White House.

One algorithmic approach used to model and analyze complex networks is fundamentally flawed and fails to capture the full properties of real-world complexities, according to a new study published in Proceedings of the National Academy of Sciences.

Researchers have located the part of the brain that causes pediatric patients to stop breathing during a seizure, sharing their findings in JCI Insight.

AI’s impact on healthcare continues to grow, with specialties such as radiology and cardiology fully embracing the technology’s potential to modify workflows and improve patient outcomes. Family medicine physicians, however, have been slow to embrace this growing trend.

Researchers are using advanced technology—including AI, natural language processing (NLP) and satellite imaging—to track how the new coronavirus has impacted China.