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AI Diagnoses Wrist Fractures As Well As Radiologists

MedImaging Radiography

A new meta-analysis reveals that AI algorithms, especially CNNs, are highly effective in detecting wrist fractures from plain X-rays, performing on par with trained healthcare professionals.

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Bone scans may be viable for diagnosing calciphylaxis

AuntMinnie

Technetium-99m (Tc-99m) methyl diphosphonate (MDP) bone scans are a potentially viable noninvasive option for diagnosing calciphylaxis, according to a team at the University of Massachusetts in Worcester, MA. and Canada, which reported the sensitivity of bone scans for diagnosing calciphylaxis to be 62.5%, 89%, and 94.4%.

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AI model comparable to radiologists for finding prostate cancer on MRI

AuntMinnie

A deep-learning model performs comparably to an abdominal radiologist when it comes to finding clinically significant prostate cancer on MRI, researchers have reported. External 0.86 External 0.86

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AI-Based Algorithm Improves Accuracy of Breast Cancer Diagnoses

MedImaging Radiography

A new artificial intelligence-based algorithm uses deep learning to analyze multiple mammogram views concurrently, simulating the evaluation process of radiologists.

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AI shows potential to diagnose wrist fractures as well as radiologists

Health Imaging

Manual reviews of X-rays remains important, because the true effectiveness of AI is still hard to quantify.

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Senior radiologist dies in Brazilian plane crash

AuntMinnie

A prominent radiologist was one of eight doctors who died August 9 in a plane crash in Brazil. “It He was a receptive person who helped other doctors in the discussion of cases to reach diagnoses.” Leonel Ferreira was a receptive person who was happy to discuss cases, a colleague said. All photos courtesy of CBR and Berit Press.

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Diagnosing Pediatric Crohn Disease With Radiomic and Clinical Data

Imaging Technology

Noting that ileal-wall radiomic features were strongly predictive of CD—and that model performance improved when ensembled with clinical data—“a radiomic machine learning model predicted CD diagnosis with better performance than two of three expert radiologists,” wrote corresponding author and AJR Pediatric Imaging Section Editor Jonathan R.