Automatic Assessment Of Hip Effusion From MRI

Hareendranathan, Abhilash Rakkunedeth; Jin, Yungchan; Felfeliyan, Banafshe; Ronsky, Janet L.; Thejeel, Bashiar; Quinn-Laurin, Vanessa; Jaremko, Jacob L.

doi:10.1109/embc46164.2021.9630134

2021 43rd Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC) 2021

DOI: 10.1109/embc46164.2021.9630134

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Automatic Assessment Of Hip Effusion From MRI

Abhilash Rakkunedeth Hareendranathan

Yungchan Jin

Banafshe Felfeliyan

et al.

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2023

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2D/3D ultrasound diagnosis of pediatric distal radius fractures by human readers vs artificial intelligence

Knight,

Zhou,

Keen

et al. 2023

Sci Rep

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Wrist trauma is common in children and generally requires radiography for exclusion of fractures, subjecting children to radiation and long wait times in the emergency department. Ultrasound (US) has potential to be a safer, faster diagnostic tool. This study aimed to determine how reliably US could detect distal radius fractures in children, to contrast the accuracy of 2DUS to 3DUS, and to assess the utility of artificial intelligence for image interpretation. 127 children were scanned with 2DUS and 3DUS on the affected wrist. US scans were then read by 7 blinded human readers and an AI model. With radiographs used as the gold standard, expert human readers obtained a mean sensitivity of 0.97 and 0.98 for 2DUS and 3DUS respectively. The AI model sensitivity was 0.91 and 1.00 for 2DUS and 3DUS respectively. Study data suggests that 2DUS is comparable to 3DUS and AI diagnosis is comparable to human experts.

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2D/3D ultrasound diagnosis of pediatric distal radius fractures by human readers vs artificial intelligence

Knight,

Zhou,

Keen

et al. 2023

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

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Automatic Assessment Of Hip Effusion From MRI

Cited by 1 publication

References 22 publications

2D/3D ultrasound diagnosis of pediatric distal radius fractures by human readers vs artificial intelligence

2D/3D ultrasound diagnosis of pediatric distal radius fractures by human readers vs artificial intelligence

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