Remove Image Interpretation Remove Medicare Remove Radiograph
article thumbnail

Meet the Minnies 2024 semifinal candidates

AuntMinnie

tesla MRI AI body composition analysis Cardiac PET Cryo/thermoablation CT colonography Genicular artery embolization Hyperpolarized xenon-129 MRI PET/MRI Photon-counting CT Radiomics Theranostics Whole-body MRI screening Image of the Year 3D PET/MR image. Image from Fangyi Liu, MD, of the Chinese PLA General Hospital, et al.

article thumbnail

The John Henry Generation: The last of the radiologists, Part 2

AuntMinnie

Crossroads Amid these debates, we as radiologists stand at a crossroads: is the human element in imaging interpretation dispensable or indispensable? Medicare Payment Advisory Commission (MedPAC). Report to the Congress: Medicare Payment Policy. RadioGraphics. Kulkarni S, et al. 2023;20(1):146-154.

article thumbnail

The John Henry Generation: The last of the radiologists, Part 1

AuntMinnie

Geoffrey Hinton, a key pioneer in deep learning, famously remarked in 2016 that we should stop training radiologists because machine learning might soon outperform them at image interpretation, with a time frame of five to 10 years. Medicare Payment Advisory Commission (MedPAC). Report to the Congress: Medicare Payment Policy.