Uber Health recently teamed up with Carisk Partners, a specialty risk transfer and care coordination provider, to reduce travel complications of getting to the doctor.

Fujifilm Medical Systems U.S.A. has announced a new breast cancer screening awareness campaign focused on early detection.

BlackThorn Therapeutics, a clinical-stage neurobehaviorial health company, has raised $76 million in a Series B funding round, the company announced June 13.  

Cardiac MRI can detect cocaine’s impact on the cardiovascular system and help differentiate between a wide range of heart diseases, according to a new literature review study published in Radiology: Cardiothoracic Imaging.

Harvard researchers have used machine learning to predict which patients soon to undergo an operation for low-back pain should be monitored for opioid dependence down the road.

After years of limited success, researchers have found a way to convert type A blood cells into the more universal type O by leveraging human gut bacteria, according to a report in the magazine Science.

The medical imaging industry contributes billions of dollars to state economies, according to three new reports published June 12 by the Medical Imaging & Technology Alliance (MITA). The findings, experts say, provide more reason to permanently repeal the medical device tax.

The sky-high costs of receiving medical care and the reality of asking for help to pay those bills are being highlighted by The Huffington Post in a series titled “Life and Death: Stories from Inside America’s GoFundMe Health Care System.”

Canadian researchers have singled out a peptide known as apelin that could improve survival in CV patients with aortic aneurysms, leading them to dub the molecule the equivalent of insulin for heart disease.

Augmented datasets can improve the overall accuracy of deep convolutional neural networks (DCNNs), according to new findings published in Clinical Radiology.

The American Medical Association (AMA) has elected its new board of trustees for 2019-2020, with women physicians as the highest elected officers for the first time.

Researchers created and validated a machine learning model using features taken from baseline, laboratory, electrocardiography (ECG), echocardiography and cardiovascular resonance (CMR) imaging data.