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Chatgpt
Could ChatGPT be useful for radiology residents?
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Ancillary features on CT, MRI don't impact LI-RADS performance
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AI helps radiologists focus on lesions more than entire breast on mammo
July 8, 2025
Dexa
Dietary choline increases BMD in postmenopausal women
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Could ChatGPT be useful for radiology residents?
By Will Morton
ChatGPT shows potential in generating and presenting educational material for radiology education.
July 8, 2025
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Ancillary features on CT, MRI don't impact LI-RADS performance
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Individually applying liver CT and MRI ancillary features to major imaging features does not affect the performance of LI-RADS.
July 8, 2025
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AI improves breast cancer detection accuracy among radiologists when reading breast cancer screening exams.
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Dietary choline may improve bone density (BMD) in postmenopausal women.
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SPECT/CT identifies prostate cancer patients with poor outcomes
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Post-therapy SPECT/CT scans after cycle 2 of Lu-177 PSMA-617 can identify advanced prostate cancer patients with poor outcomes.
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Medical societies, experts share mixed thoughts on 'Big Beautiful Bill'
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The U.S. House of Representatives passed the Senate’s version of the bill on July 3, which calls for Medicaid cuts and an increase to the MPFS.
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Report: Leadership proves central to integration of radiology AI
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Successful AI implementation requires strong leadership and robust governance structures, according to a special report.
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ACR, MGMA respond to U.S. House, Senate passing 'Big Beautiful Bill'
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The ACR and MGMA have responded to the House of Representatives passing the Senate version of the One Big Beautiful Bill Act.
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GAE with stem cells effective for knee osteoarthritis
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Genicular artery embolization (GAE) by injecting stem cells into knee arteries could be effective for treating osteoarthritis.
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Can lung ultrasound predict delirium in elderly COVID-19 patients?
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Lung ultrasound may help predict delirium in elderly COVID-19 patients when combined with cognition exams.
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AI algorithm identifies patients at risk of sudden cardiac arrest
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An AI algorithm used with MRI data can predict which patients are at risk of sudden cardiac arrest, researchers have reported.
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