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Dec 2, 2019
Latest in Advanced Visualization
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Erick Torres, MD, describes a 3D-printed simulation model he and colleagues created, which results show marked improvement in accurate needle targeting among medical students and residents performing ultrasound-guided regional anesthesia.
AIUM: 3D-printed training model improves ultrasound-guided anesthesia
March 31, 2025
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CTC for colorectal cancer screening is at an 'inflection point'
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Medimaps launches advanced TBS Osteo software in U.S.
By AuntMinnie.com staff writers
Swiss imaging software developer announces new system capabilities.
June 10, 2025
Am 2021 04 06 21 52 3854 Osteoporosis Hip Joint 400
See All AI raises $33M for 3D visualization platform
Medtech developer See All AI has raised $33 million for the development and commercialization of its AI-based platform.
May 28, 2025
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AIUM: 3D-printed training model improves ultrasound-guided anesthesia
By Amerigo Allegretto
A 3D-printed simulation model could help improve ultrasound-guided anesthesia.
March 31, 2025
Erick Torres, MD, describes a 3D-printed simulation model he and colleagues created, which results show marked improvement in accurate needle targeting among medical students and residents performing ultrasound-guided regional anesthesia.
CTC for colorectal cancer screening is at an 'inflection point'
By Kate Madden Yee
The use of CT colonography (CTC) for colorectal cancer screening is at an "inflection point" after its Medicare reimbursement approval in 2024
March 12, 2025
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DL algorithm targeting prostate cancer demonstrates clinical impact
By Liz Carey
Per participant, a deep-learning (DL) algorithm demonstrated increased specificity of 64.8% compared with radiologists at 21.3%.
March 12, 2025
MRI scans show two areas of clinically significant prostate cancer in a 65-year-old man with a prostate-specific antigen level of 8.23 ng/mL. Images are (A, E) axial T2-weighted images, (B, F) axial diffusion-weighted images obtained with a b value of 1500 sec/mm2, (C, G) axial apparent diffusion coefficient images, and (D, H) lesion masks generated by the deep learning algorithm (DLA) on T2-weighted images. The DLA detected a lesion in the right posteromedial peripheral zone of the apex (D), which was assigned as Prostate Imaging Reporting and Data System (PI-RADS) 4. A radiologist also detected the lesion and assigned it PI-RADS 4 (arrow in A-C). A lesion in the right anterior transition zone (H) was detected by the DLA, which was assigned PI-RADS 4. The radiologist did not detect the lesion (arrow in E-G). Both lesions were confirmed as prostate cancer with Gleason grade group 2. Caption and image courtesy of RSNA.
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ChatGPT promising as support tool for researchers getting started in AI
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ChatGPT could serve as an academic reference tool for early-career radiologists and researchers.
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LLMs outperform medical student in solving imaging cases
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Large language models (LLMs) outperformed a medical student when solving imaging cases in a quiz widely used by medical professionals.
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Radiologists best ChatGPT, Gemini in assigning PI-RADS categories
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Radiologists outperform large language models in assigning PI-RADS classifications for prostate cancer based on text reports.
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VR/AR helps clinicians diagnose diverticulitis on CT
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ChatGPT demonstrates mixed results in assigning BI-RADS categories
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ChatGPT achieves modest accuracy when assigning BI-RADS scores for mammograms and breast ultrasound exams.
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ChatGPT-4 performed well on practice questions designed by a third-party company for a radiologic technologist (RT) certification exam.
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