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What has radiology learned in 5 years since COVID hit U.S.?

AuntMinnie

They also spearheaded the development of guidelines for the American College of Radiology (ACR), recognizing the role that imaging had in diagnosing COVID-19 in patients. The guidelines included best practices for imaging with CT versus chest x-ray in diagnosing COVID, as well as whether imaging is necessary at all in some cases.

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AI bests rads in finding breast cancer in women with personal history

AuntMinnie

However, the researchers noted a lack of data on interpreting surveillance mammograms in women with a personal history of breast cancer. A) Left craniocaudal and (B) mediolateral oblique mammograms assessed as benign. (C) AI continues to show promise in improving screening mammography interpretation. years after right mastectomy. (A)

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Mammography AI model performs well in screening populations

AuntMinnie

However, Eriksson noted that there is little data available on the generalizability and clinical feasibility of these AI models across different screening settings. For their study, Eriksson and colleagues tested their clinically used image-derived, AI-based risk model in multiple European breast cancer screening populations.

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ChatGPT outperforms clinicians in post-negative test disease probability

AuntMinnie

ChatGPT-4 outperformed human clinicians in determining pretest and post-test disease probability after a negative test result involving chest radiographs and mammograms, according to a research letter published December 11 in JAMA Network Open. They compared its performance with a survey of 553 human clinicians from various specialties.

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New Study Finds Age and Race Impact Artificial Intelligence (AI) Performance on Digital Mammograms

Imaging Technology

christine.book Tue, 05/21/2024 - 10:36 May 21, 2024 — According to a newly-published study of nearly 5,000 screening mammograms interpreted by an FDA-approved AI algorithm, patient characteristics such as race and age influenced false positive results. Nguyen, M.D.

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First breast cancer factors impact mammo's ability to find future ones

AuntMinnie

Some factors tied to first breast cancers can have a negative impact on screening mammography's ability to find future cancers, according to research published October 5 in Clinical Imaging. Also, mammogram-occult primary breast cancer is the most important risk factor for a contralateral mammogram-occult second breast cancer, the team found.

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AI scoring predicts DCIS recurrence

AuntMinnie

Yoon and colleagues studied whether AI scoring on preoperative mammography, along with clinical and radiologic factors, is associated with recurrence after DCIS treatment. The researchers analyzed preoperative routine mammograms via a commercially available AI algorithm (Lunit Insight MMG, Lunit ). years who were treated for DCIS.

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