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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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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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PET/MRI may help diagnose fevers of unknown origin

AuntMinnie

PET/MRI imaging shows promise in diagnosing fevers or inflammation of unknown origin and may have advantages over PET/CT, according to a study published January 3 in the European Journal of Radiology.

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Diagnosing knee abnormalities like an experienced radiologist: A novel deep learning model

ScienceDaily

Multi-sequence knee magnetic resonance imaging (MRI) is an advanced non-invasive diagnostic method for knee pathology. However, MRI interpretation is highly time-consuming and heavily dependent on expertise.

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Radiologists ‘compete’ on chest x-rays reads with and without AI

AuntMinnie

In a study described as a “competition between radiologists,” participants tasked with identifying abnormal findings on chest x-rays performed better with AI assistance than without AI assistance – though not by much and not in all cases, according to a group in Nanjing, Jiangsu, China.

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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.