A meta-analysis of 14 studies has shown AI algorithms correctly diagnose diseases in medical imaging around 87% of the time while ruling out specific diseases with 93% accuracy.

Machine learning can read cardiac MRIs with the same accuracy as a physician, with much higher speed, according to a recent study published in Circulation: Cardiovascular Imaging and reported by Cardiovascular Business.

With healthcare being in high demand, some professionals in the field are earning top dollar, according to a recent ranking from Glassdoor. In fact, healthcare jobs were among the highest-paying jobs in 2019, with physicians earning a median base salary of $193,415.

Retail giant Walmart is adding education benefit programs to prepare its workforce for “the next generation of healthcare jobs,” the company announced.

Medicare Advantage premiums are expected to drop 23% from 2018 levels ahead of the new enrollment period, CMS announced, stating that plan choices, benefits and enrollment have increased.

Contrary to popular perceptions, while much leading-edge innovation involving AI is coming out of China, the advances emanating from the Middle Kingdom are limited to just a few platform technologies and market segments.

Kheiron Medical Technologies, a London-based machine learning startup focused on helping radiologists detect cancer at an early stage, has raised $22 million in a Series A funding round.

Health insurance giant Humana is hoping to make its new digital health hub in Boston look and feel like a technology startup.

Deep-learning analysis of eye scans has proven superior to conventional analysis of the same images for the task of detecting and tracking vision diseases like glaucoma and age-related macular degeneration.

Senator Bernie Sanders (I-VT) has introduced his plan to eliminate $81 billion in medical debt as part of his pitch to become the Democratic presidential candidate.