Google AI researchers working with Northwestern Medicine created an AI model capable of detecting lung cancer from screening tests better than human radiologists with an average of eight years experience.
After breathlessly ascending the peak of inflated expectations, and careening down through the trough of despair, digital health seems poised to re-emerge, battered but not beaten, in the form of digital
Digital technologies are becoming ubiquitous, effective, and cost efficient, but are underutilized in medicine. These technologies — like wearable health monitors, sensors, and even ingestible devices
Google said that it has created "promising" artificial intelligence that can spot lung cancer a year before a human doctor, potentially increasing survival chances for patients. The Silicon Valley technology
When Kim Hilliard shows up at the clinic at the New Orleans University Medical Center, she's not there simply for an eye exam. The human touches she gets along the way help her navigate her complicated
The truth is, there is a lot of promise in AI. But it might be time to temper our expectations. AI isn’t exactly new, and it won't be a silver bullet. Almost 20 years ago, the medical and scientific communities