Breast imagers need common lexicon for suspicious lymph node lesions

The use of adjunctive CT bone reading software in women with breast cancer detected between 8 to 22 percent more metastatic lesions for reviewing radiologists and reduced CT interpretation time by 50 percent or more, according to a new study.

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How will generative AI software be evaluated by the FDA in the future? What’s next for point-of-care ultrasound? What steps have been successful in facilitating adoption of AI applications across enterprise systems? Leaders in radiology and health care will be discussing these topics and more at the upcoming HLTH USA conference.

While the allure of partnership or a hierarchical promotion system for those who paid their dues once sounded promising, the current reality amid declining reimbursements, thinning practice margins and private equity acquisitions is going after the gig with the most optimal lifestyle and paycheck.

Catch up on the top radiology content of the past week.

In the third of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss recent developments with autonomous AI in breast imaging and share their perspective on the overall potential of AI to help mitigate the radiologist shortage.

In a recent interview, Amir Iravani, MD, FRACP, discussed the radiotherapeutic agent 177Lu-edotreotide and new dosimetry data from the COMPETE trial that was recently presented at the ASTRO conference.

While AI offers the lure of efficiency and cleaner writing in scientific research, maintaining the principles of authorship and intellectual engagement is perhaps more important than ever before.