Controversy Extenders | X-Ray Transparency | Incidental PE AI
“Radiologists who train NPP to interpret imaging studies are arguably training their replacements.” A JACR paper with a warning for radiologists about their non-physician colleagues. I’m…
Equal Extenders | Google Responds | Follow the Money
“I hate it.” How Dr. Luke Oakden-Rayner really feels about last week’s paper criticizing Google’s mammography AI study (even though he respects the authors “a lot”).…
AI OK | Ultrasound Implant | Cashier Controversy
“No one knows exactly how the development of artificial intelligence will proceed. But it does have the potential to radically change society and how we work.”…
AI Faceoff | COVID in the CT | Radres Handhelds
“A little knowledge, so the saying goes, can be a dangerous thing.” Signify Research’s Alan Stoddart on the potential pitfalls of ultrasound simplification and home adoption.…
Butterfly iQ+ | RadRes Reps | Psych AI
“. . . one step closer to realizing the full potential of bedside point-of-care ultrasound as the stethoscope of the future—a true window into the body,”…
Another AI Milestone | Great Reporting | Defining POCUS
“The current CPT framework forces the square POCUS peg exclusively through the round hole of ‘diagnostic imaging’. . .” A new JACR paper suggesting that POCUS…
Ink Agents | Mammoscope | AI Reactions
“. . . a bit like a phone-a-friend IT solution on your ultrasound,” Fetal medicine scientist, Professor Aris Papageorghiou, describing the auto-recognition tools built into GE…
NTAPs & DRGs | Primary POCUS | Surprise Billing’s Back
“When I first saw the news, I started three companies.” Stanford CS PhD student, Sharon Zhou, on what CMS reimbursements mean for the business of imaging…
COVID Shortcuts | AI Stewards | Superficial US
“Don’t want to use AI? Tough.” The PACSman, Michael J. Cannavo, with a reminder that using imaging AI might be unavoidable. Imaging Wire Sponsors Bayer Radiology…
PM Reality Check | PET/MRI Advantages | Context Rx
“There is no question that the appearance of big data and machine learning offer an exciting chance for revolution, but revolutions demand greater scrutiny, not less.”…
