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FDA Clears AI-Enabled FFR-IQ Software for Estimating Fractional Flow Reserve from CCTA

Can the Kaiser Score with Breast MRI Improve Clarity for BI-RADS 0 and 4 Assessments on Mammography and Ultrasound?

Can MRI-Based AI Have an Impact in Reducing Unnecessary Prostate Biopsies?

FDA Clears MRI-Based AI Software for Prognostic Evaluation of Patients with Mild Cognitive Impairment

The Reading Room Podcast: A Closer Look at New Research on 177Lu-Edotreotide for Treating GEP-NETs

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In a recent interview, Phillip Koo, MD, discussed emerging trends with AI, theranostics and empowered patients, and how these developments may lead to challenges and potential opportunities for radiologists and nuclear medicine physicians.

AI has to do more than show potential. It has to deliver measurable results.The Rad AI Outcomes and Market Impact Compendium brings together real-world clinical, operational and financial evidence from health systems, academic medical centers and radiology practices using Rad AI Reporting, Impressions and Continuity.Explore results including 60+ minutes saved per radiologist shift, a 47% reduction in report error rates, 70%+ patient follow-up adherence and >7x ROI — plus, case studies showing how organizations are translating AI into greater capacity, quality and financial performance.See what AI built specifically for radiology can deliver in practice.

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

Assessing breast MRI scans, pathology and clinical data, the AI-powered TumorSight Risk software reportedly provides five- and 10-year risk for breast cancer recurrence for women with HR+, HER2-negative stage I-IIIA breast cancer.

While a new article raises provocative questions about the capability of photon-counting CT (PCCT) to perhaps replace diagnostic ICA, the real revolution with this modality is going beyond stenosis measurement to a renewed focus on the disease of atherosclerosis.

Catch up on the latest imaging research presented at the recent American Society for Radiation Oncology (ASTRO) Annual Meeting.

Tightness of the high-convexity sulci (THC) on brain MRI was associated with nearly threefold higher odds of cognitive decline over five to seven years of follow-up, according to a new prospective study involving over 2,100 community-dwelling senior citizens.

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.




























