Someone had to come right out and ask. Six researchers representing four medical specialties have done so, weighing the odds by reviewing a representative sample of the literature.

Industry researchers in medical AI have demonstrated a “causal reasoning” algorithm whose diagnostic accuracy would place it among the top 25% of primary care doctors in the U.K. 

Researchers at New York University have demonstrated an AI-based way to send COVID patients from the ER to the most appropriate care setting according to their individualized risk.  

Along with new or improved algorithmic applications for chest imaging, watch for word of an AI-powered breathalyzer and other diagnostic techno-weapons aimed at COVID. What they’ll all have in common is full-throated NIH support.

Researchers have demonstrated the use of an AI tool that can accurately identify or rule out prostate cancer on digitized pathology slides from core needle biopsies.

Google Cloud is injecting $100 million into a supplier of telehealth platforms, partly to build out AI systems for helping hospitals remotely handle patient inquiries, intake and triage.

Trotting out a new digital health assistant this week, Amazon is emphasizing the wearable’s incorporation of AI to guide users toward some complicated goals.

An AI algorithm could have kept almost 850 of 1,240 fevered infants—close to 70%—from having to undergo a painful lumbar puncture, aka “spinal tap,” for finding out if their high temps owed to a serious bacterial infection.

Researchers have developed an AI algorithm that can identify illegally cooked-up fentanyl, teaching itself to spot dangerous new impostors as it goes.

Radiology Business Journal is soon to recognize five of the most innovative imaging organizations in the U.S.—and you can be there for the reveal. Click here to register.