Early this month CMS agreed to reimburse hospitals for using the first AI software to qualify for Medicare’s NTAP mechanism. Healthcare AI watchers have been unpacking the intricacies of the development ever since.

A supplier of healthcare software in the respiratory care space has received the FDA’s blessing to market deep learning elements newly added to an existing product.

The work of Regina Barzilay, PhD, a professor of electrical engineering and computer science at MIT, has focused on breast imaging, the development of new antibiotics and much more. 

The FDA has an eye trained on healthcare AI as it establishes a major operation to help advance the state of the art across digital health.

A small but mighty research outfit based in Hungary has compiled a user-friendly database of medical technologies anchored in AI and approved by the FDA.

In some instances, the drone helped get an AED on the scene nearly three minutes faster than normal. 

The novel AI-aided app can run on both Apple and Android operating systems and only needs to be placed near the would-be sleeper—a familiar nightstand, shelf or end table will do—at bedtime.

Researchers at West Virginia University are well placed to tap AI for teasing out the role of existing respiratory concerns in the progression of COVID-19.

Providers seeing patients remotely via Microsoft Teams make up the target market for a Nuance voice-recognition offering that automatically takes clinical notes during virtual visits and renders them useful immediately afterward.

Crossing machine learning with low-cost infrared sensors, AI developers are pushing the envelope on ambient intelligence, or AmI, for use in healthcare.