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Cortechs.ai integrates AI portfolio into DeepcOS platform
By AuntMinnie.com staff writers
The integration marks the first outside Cortechs.ai’s ecosystem.
June 13, 2025
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FDA issues final order reclassifying radiological CAD software
By Liz Carey
Computer-assisted detection (CAD) and diagnosis algorithms used in radiology move from the class III to the class II category.
June 13, 2025
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'RadGPT' may help patients understand radiology reports
By Amerigo Allegretto
A novel educational tool derived from a large language model (LLM) may help patients better understand their imaging reports.
June 12, 2025
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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
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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.
Body composition analysis, MRI safety topped 2024's most read articles
By Liz Carey
While COVID and radiology salaries hit the top of AuntMinnie.com's Top 10 most-read posts of 2023, they rounded out the bottom of this year's list.
December 20, 2024
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ChatGPT promising as support tool for researchers getting started in AI
By Amerigo Allegretto
ChatGPT could serve as an academic reference tool for early-career radiologists and researchers.
December 11, 2024
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LLMs outperform medical student in solving imaging cases
By Amerigo Allegretto
Large language models (LLMs) outperformed a medical student when solving imaging cases in a quiz widely used by medical professionals.
December 10, 2024
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Radiologists best ChatGPT, Gemini in assigning PI-RADS categories
By Amerigo Allegretto
Radiologists outperform large language models in assigning PI-RADS classifications for prostate cancer based on text reports.
November 15, 2024
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