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Manisha Bahl, MD, breast imaging division quality director and breast imaging division co-service chief, Massachusetts General Hospital, and an associate professor of radiology, Harvard Medical School, explains the findings of a recent study she was involved in at RSNA 2024. She also offers insights into growing interest at sessions in using AI in breast imaging.

Manisha Bahl, MD, explained that ChatGPT and other large language models offer significant potential to help radiologists with breast imaging exams, but they are "not quite ready for primetime."

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Job-industry researchers created the list based on factors such as autonomy, social interaction, growth potential, and wages. 

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For years, the subspecialty has grappled with decreasing trainee interest, rising volumes and staffing demands, and a competitive market for talent, experts write in JACR

An overview of artificial intelligence (AI) in radiology with Keith Dreyer with the ACR. Images shows a COVID-19 lung CT scan reconstruction from Siemens Healthineers. #AI #radAI #ACR

In a prospective study involving 54 adults, ultralow-dose CT, denoised with deep learning, “substantially” cut radiation exposure while accurately detecting pneumonia. 

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ECRI compiled its latest list of healthcare hazards based on a wide scope of data, hoping to pintpoint the most pressing threats to patients' well-being. 

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CT for CRC screening is at an “inflection point” following the Centers for Medicare & Medicaid Services’ recent decision to cover the exam, experts say. 

Around the web

Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.