Dear AuntMinnie Member,
After winning a steel drill hammering competition against a drilling machine, American folk hero John Henry died after his heart gave out from the superhuman effort, according to legend.
In the second column of his two-part series on AI and the future of radiology, radiologist Joshua Ewell, DO, describes how the John Henry metaphor resonates powerfully with this generation of radiologists and also serves as a parable for the liminal space between human- and machine-based medical diagnoses.
AI was also the subject of our second most highly-viewed story this week. Researchers have found that a deep-learning algorithm can predict the risk of prostate cancer progression using MRI and clinical information.
Neuroradiology-oriented content also generated substantial page views. PET was judged to be effective at tracking long-term changes in the brains of patients with dementia. Furthermore, stroke patients with large total myelin volume measured on synthetic MRI appear to have good functional outcomes on follow-up.
In other news, researchers have reported that women with high-risk pathological variants for breast cancer as identified by genetic testing and risk assessment are about 10 times more likely to undergo breast MRI. And Y-90 radioembolization was deemed safe in people living with HIV.
See the list below for all of our top stories from the week.
- The John Henry Generation: The last of the radiologists, Part 2
- Deep-learning model based on MRI data predicts prostate cancer risk
- PET tracks long-term changes in patients with dementia
- Measuring myelin volume with synthetic MRI helps predict stroke outcomes
- AI will transform early cancer detection, save lives in 2025
- Genetic testing, risk assessment tied to more breast MRI uptake
- Y-90 radioembolization safe in people living with HIV
- Top 5 predictions for the imaging IT and AI markets in 2025
- USPSTF boosts DEXA in osteoporosis screening
- CEM has slightly higher mean glandular dose than DBT, mammography
- CEM-, radiomics-based models predict breast biopsy outcomes
- ML model using CCTA, MRI data predicts MACE in cardiac patients
- FAPI-PET shows promise for imaging gastric cancers
- POCUS useful for diagnosis of retained conception tissue
Erik L. Ridley
Editor in Chief
AuntMinnie.com