As Medicare for all continues to gain traction among American voters and more Democratic presidential nominees take up the platform, the American Medical Association has decided not to support such an initiative.
Deep learning could help catch drug dealers who use social media to connect with customers, according to a study conducted at UC-San Diego and published June 14 in the Journal of Medical Internet Research.
That’s the question David Freedman tried to answer in an article in The Atlantic, pointing out that the high cost of the U.S. healthcare system could come down to the patients themselves.
HHS, with the Departments of Labor and Treasury, has issued a new rule to expand the use of health reimbursement coverage, which provide tax-preferred funds for employees to buy their own insurance on the individual market.
AI is aiding in the diagnosis of several diseases and health risks, and researchers have recently found that machine learning can help predict the onset of psychosis, a debilitating mental disorder that can compromise an individual’s psychology and their ability to think and feel.
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.
BlackThorn Therapeutics, a clinical-stage neurobehaviorial health company, has raised $76 million in a Series B funding round, the company announced June 13.
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.
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.”
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.
