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.

A group of New England researchers analyzed patient narratives, finding clinical codes and communication breakdown as the most common reasons for complaints, with no significant difference between multifactorial and single-coded complaints.

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 at Washington University in St. Louis are trying to develop a treatment for those who have lost their ability to smell by studying how the brain changes when that sense is lost.

Utah Gov. Gary Herbert recently signed legislation that requires facilities performing mammograms to notify women if they have dense breast tissue. The signature makes Utah the 32nd state to enact such a law.

In what could be a surprise to experts and industry leaders, a recent survey from Accenture has suggested that consumers are more optimistic about the integration of artificial intelligence (AI) in medicine, according to a recent article by Harvard Business Review.

A neuroimaging helmet may be a breakthrough for children with epilepsy, babies or patients with physical disorders, according to a March 21 article published by Reuters.

Draper, a not-for-profit research and development company, announced an agreement with the Bill & Melinda Gates Foundation to bring ultrasound imaging systems to developing countries to help address high-risk pregnancies.

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.

South Korean researchers found that preoperative axillary ultrasonography (US) can decipher which patients are least at-risk for non-sentinel lymph node (SLN) metastasis—possibly resulting in fewer unnecessary lymph node dissections.