Artificial Intelligence

CXR-Age algorithm validated in large cohort of Asian individuals
By Will Morton
Researchers in Korea have validated a deep-learning AI model (CXR-Age) that estimates biological age from chest x-rays.
July 26, 2024
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AdvaMed urges faster reimbursement pathway for AI-enabled medtech
By AuntMinnie.com staff writers
Reimbursement policies should keep pace rather than come years after FDA authorization, according to AdvaMed.
July 26, 2024
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Podcast: Moving from a role in academic medicine to leading a company
By Liz Carey
Katherine High, MD, joins Saurabh (Harry) Jha, MD, and Mitchell Schnall, MD, for this episode of the "Keeping Up With the Radiologists" podcast series.
July 26, 2024
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How imaging AI developers can avoid pitfalls when testing algorithms
By Amerigo Allegretto
AI developers can recognize and avoid pitfalls when creating models and tools for interpretative imaging performance.
July 25, 2024
CT images from a 24-year-old woman with history of ventriculopleural shunt placement who presented with chest pain show two small linear hyperattenuating structures (A, arrows), with larger hyperattenuating structure oriented parallel and very close to the rib. The AI algorithm interpreted the finding as a rib fracture. (B) An additional axial image from same exam indicates that the finding relates to the patient’s ventriculopleural shunt (arrow), passing alongside the rib. The radiologist made a correct interpretation upon assessment of the entire exam. Image courtesy of the ARRS.
GPT-4 can assist in management of glioblastoma patients
By Liz Carey
Research suggests GPT-4 could streamline longitudinal assessment process by providing a comprehensive overview of prior imaging.
July 23, 2024
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Mammo AI falls short to ultrasound in screening dense breasts
By Amerigo Allegretto
Mammography plus ultrasound yields better results than AI-enhanced mammography alone when it comes to screening of women with dense breasts.
July 23, 2024
Imaging in a 56-year-old woman with heterogeneously dense breasts (BIRADS C). (A) Left craniocaudal (left) and mediolateral oblique (right) digital mammograms show no abnormality. (B) Left craniocaudal (LCC, top) and left mediolateral oblique (LMLO, bottom) mammograms with retrospectively applied AI (Lunit Insight MMG, version 1.1.7.1; Lunit) show the lesion was given abnormality scores of 97% and 71%, respectively. The color bar indicates pixel-level abnormality scores corresponding to heatmap contour lines. Breast ultrasound performed the same day was considered negative (not shown). (C) Left craniocaudal (left) and mediolateral oblique (right) digital mammograms acquired nine months later show an irregular mass (arrows) in the left breast, which correlates with the heatmap areas scored as 97% and 71% by AI in the earlier screening mammogram (B). The radiopaque round marker denotes the site of the palpable abnormality indicated by the patient. (D) Transverse ultrasound imaging shows an irregular mass (arrow) in the left breast. The patient was treated with breast-conserving surgery, and the mass was proven to be invasive lobular carcinoma. Image courtesy of the RSNA.
GPT-4V generates mixed results in online image quiz
By Will Morton
A recent study shows the GPT-4 Vision multimodal AI model erred when answering medical quiz questions based on clinical images and a text summary.
July 23, 2024
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SCCT: AI identifies at-risk cardiac patients from CT images
By Amerigo Allegretto
AI helps identify patients who may benefit from preventive cardiology services via CT images.
July 20, 2024
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Breast Cancer Canada launches research funding fellowship
By AuntMinnie.com staff writers
Breast Cancer Canada is launching a 1-million-Canadian-dollar ($730,695 U.S.) fellowship to expand breast cancer research funding.
July 15, 2024
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AI in radiology: The kids are alright
By Amerigo Allegretto
Young people are optimistic about the use of AI in medicine, including in radiology.
July 15, 2024
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Experts outline how best to deploy AI in radiology
By AuntMinnie.com staff writers
The RSNA and the MICCAI Society have published a special report on how best to deploy AI tools into clinical radiology practice.
July 11, 2024
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AI improves evaluations of knee osteoarthritis on x-rays
By Will Morton
A commercially available AI algorithm improved the performance of junior radiologists when grading knee osteoarthritis on x-rays.
July 9, 2024
An example of the study platform as seen by a reader receiving assistance from the AI tool. On the left is the overlay generated by the AI tool. On the right is the grading panel. Note that the grading fields are prefilled with the outputs of the AI tool. In this study, the left knee was to be graded. When the right was to be graded, the grading panel was on the left. The size of some user interface elements, primarily text and buttons, have been enhanced to improve legibility. JSN = joint space narrowing, KL = Kellgren-Lawrence, OST = osteophytes, PA = posteroanterior, SCL = subchondral sclerosis. Image and caption courtesy of Radiology.
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