Dear AuntMinnie Member,
ChatGPT could significantly affect a variety of industries. But what impact will the artificial intelligence (AI) chatbot have on radiology?
In addition to helping to write journal articles, ChatGPT could play a big role in educating patients about their upcoming procedures, supporting a shift toward patient-centered radiology, according to a group from George Washington University. Our coverage of their work generated the most page views on AuntMinnie.com this week.
Another popular story highlighted the experience of radiologists at the University of Mississippi Medical Center in managing the influx of trauma patients after a deadly tornado. You can find the full story in our Imaging Leaders Community.
Coverage from UltraCon
The American Institute of Ultrasound in Medicine (AIUM) hosted its rebranded annual meeting --- UltraCon -- in Orlando this week, and our coverage of the Orlando conference figured prominently on our list of top 10 most-read articles.
In one presentation, researchers shared how a technique combining volume sweep imaging with AI could enable diagnosis of breast lumps without the need for a sonographer or radiologist. A new breast elastography algorithm was also reported to be helpful for avoiding false-negative breast cancer cases. And point-of-care ultrasound systems can perform comparably to traditional cart-based scanners, according to another talk at UltraCon.
Stop by our Ultrasound Community for further coverage of the conference as well as other ultrasound news.
New sciatica treatment
Meanwhile, a highly read story in our Advanced Visualization Community described how combining CT-guided pulsed radiofrequency with a steroid injection could more effectively relieve sciatic pain in patients with lumbar disc herniation. With just a 10-minute procedure, this combination yielded better outcomes at one year than steroid injection alone, according to the Italian researchers.
![Axial images from unenhanced calcium score cardiac CT (left) and curved planar reformation images from CT angiography (right) show that higher long-term exposure to air pollution is associated with greater coronary artery calcium and more obstructive coronary artery disease (CAD). Top row: Images in a 68-year-old male patient with higher 10-year mean ambient air pollution exposure (7.9 μg/m3 for particulate matter measuring ≤2.5 μm in diameter [PM2.5] and 17.4 parts per billion [ppb] for NO2) with extensive CAD (coronary artery calcium score [CACS] >1,000 and obstructive CAD [≥70% diameter stenosis]). Bottom row: Images in a 57-year-old female patient with lower 10-year mean ambient air pollution exposure (6.3 μg/m3 for PM2.5 and 4.6 ppb for NO2) with no CAD (CACS = 0 and no obstructive stenosis).](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/06/hanneman.r6SMLzkezo.png?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
