Open MR achieves milestone

An AI model for prostate MRI offered an 89 percent AUC for prostate cancer detection in external validation testing, according to a newly published international multicenter study.

In the latest episode of her Breast Imaging in Focus series, Manisha Bahl, MD, MPH, FSBI, discusses new research comparing mammography-based AI models for breast cancer detection and short-term risk prediction.

In a recent episode of our Molecular Imaging in Focus series, Jack Andrews, MD, discussed pertinent findings from a recent intra-patient comparative study of PSMA PET agents in men with recurrent prostate cancer presented at the recent ASTRO conference.

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.