University of California, San Francisco (UCSF) Neuro and Musculoskeletal Imaging

Feb 8th, 2020Feb 13th, 2020
Kamuela, HI
US
https://radiology.ucsf.edu/cme/ucsf-neuro-musculoskeletal-2020-hawaii
Five half-day morning sessions, Sunday through Friday, with a full day off on Wednesday. Neuro: Soonmee Cha, David Wilson, Jason Talbott. Skeletal: Thomas Link, Daria Motamedi, Rina Patel.
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Baseline and 1-year follow-up CT and MRI scans of thoracic and lumbar spine with color-coded vertebral segmentation
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LDCT predicts vertebral fracture risk in heavy smokers
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Participants were heavy smokers aged 55 to 74 years old with at least 30 pack-years of smoking history.
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Baseline and 1-year follow-up CT and MRI scans of thoracic and lumbar spine with color-coded vertebral segmentation
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ChatGPT-5 missed 83 fractures, demonstrating a sensitivity of 51.2% and a specificity of 70.5%, with overall accuracy of 61.6%.
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Four wrist X-ray images showing fracture detection examples: true positive with distal radius fracture, true negative normal wrist, false positive misidentified fracture, and false negative missed fracture.
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AI triaging that examined head CT images led to a 13-minute faster report turnaround in the emergency department.
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Faisal Mahmood, PhD, shared updates from his team's work developing the Apollo LLM framework.
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An in-house LLM approach achieved near-perfect sensitivity for detecting critical results in child patients.
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DBT performance improves with patient age
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AI fails to compensate for night-shift fatigue among residents
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Trainee-led informed consent talks with patients often insufficient
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High CAC scores nearly doubles 30-year mortality in young adults
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Among 12,847 participants, 1,703 (13.3%) had CAC scores above the 90th percentile.
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Glowing anatomical illustration of human heart with blood vessels on blue background
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