Artificial intelligence might be a hot tech topic, but it could also pose ethical risks—namely racial ones—to healthcare, Clinical Innovation + Technology reported this month.

In a report released by World Business Research (WBR) and Conversa Health, 98 percent of healthcare executives believed automated healthcare will be important to closing gaps in transactional care, continuous and collaborative care experiences.

A novel machine learning model could accurately predict which men might benefit most from additional imaging before a prostate biopsy, saving patients both money and discomfort, a new study states.

A recent study published in Radiology has demonstrated that deep-learning bone age assessment models analyzing hand radiographs produced results as accurate as a radiologist.

Few radiologists understand the relationship between radiology and artificial intelligence (AI) quite like Keith Dreyer, DO, PhD, vice chairman and associate professor of radiology at Massachusetts General Hospital in Boston.

Researchers have developed a novel technique that reconstructs medical images using artificial intelligence (AI) and machine learning, according to a new study published in Nature. This saves radiologists valuable time and could potentially result in patients being exposed to lower radiation doses.

Ever since Mahesh Yogi introduced transcendental meditation to the West in the middle of the 20th century, researchers have sought to solidify claims that the practice offered a state of “restful alertness.” Recent research used fMRI to back-up that assertion.

Researchers from Massachusetts General Hospital (MGH) have developed a machine learning and artificial intelligence (AI)-based technique that may generate higher quality images without having to collect additional data.