Episodios

  • AI (ChatGPT, Google Bard, and MS Bing) Radiology Report Simplification

    AI (ChatGPT, Google Bard, and MS Bing) Radiology Report Simplification
    Jun 18 2024
    Dr. Lauren Kim discusses the role of large language models in simplifying radiology reports with Kanhai Amin and Dr. Howard Forman. Accuracy of ChatGPT, Google Bard, and Microsoft Bingfor Simplifying Radiology Reports. Amin et al. Radiology 2023; 309(2):e232561. Quantitative Evaluation of Large LanguageModels to Streamline Radiology Report Impressions:A Multimodal Retrospective Analysis. Doshi and Amin et al. Radiology 2024; 310(3):e231593.
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    27 m
  • Bone Biopsies for Chronic Nonspinal Osteomyelitis

    Bone Biopsies for Chronic Nonspinal Osteomyelitis
    Jun 11 2024

    Dr. Linda Chu discusses the Consensus Recommendations on Percutaneous Bone Biopsies for Chronic Nonspinal Osteomyelitis with Dr. Laura Fayad.

    Chronic Nonspinal Osteomyelitis in Adults: Consensus Recommendations on Percutaneous Bone Biopsies from the Society of Academic Bone Radiologists. Debs et al. Radiology 2024; 311(1):e231348.
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    26 m
  • Teleradiology Medical Malpractice Cases

    Teleradiology Medical Malpractice Cases
    Jun 4 2024

    Dr. Francis Deng discusses characteristics of teleradiology medical malpractice cases with Dr. Adam Schaffer.

    Assessment of Claimant, Clinical, and FinancialCharacteristics of Teleradiology Medical Malpractice Cases. Schaffer et al. Radiology 2024; 311(1):e232806.
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    17 m
  • SRU Consensus for Endometriosis

    SRU Consensus for Endometriosis
    May 28 2024

    Dr. Refky Nicola discusses the Society of Radiologists in Ultrasound Consensus on Pelvic US for Endometriosis with Dr. Scott Young and Dr. Wendaline VanBuren.

    Society of Radiologists in Ultrasound Consensus onRoutine Pelvic US for Endometriosis. Young and Jha et al. Radiology 2024; 311(1):e232191.
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    20 m
  • Interpretable Deep Learning Model for Breast Cancer Risk Prediction

    Interpretable Deep Learning Model for Breast Cancer Risk Prediction
    May 14 2024

    Dr. Reni Butler discusses AsymMirai, interpretable mammography-based deep learning model for breast cancer risk prediction with Jon Donnelly, Luke Moffett, Dr. Schwartz, and Dr. Joseph Lo.

    AsymMirai: Interpretable Mammography-based Deep Learning Model for 1–5-year Breast Cancer Risk Prediction. Donnelly et al. Radiology 2024; 310(3):e232780.

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    25 m
  • C-RADS Version 2023

    C-RADS Version 2023
    May 7 2024

    Dr. Linda Chu discusses the version 2023 update to the CT colonography reporting and data system with Dr. Judy Yee and Dr. Kevin Chang.

    CT Colonography Reporting and Data System (C-RADS):Version 2023 Update. Yee et al. Radiology 2024; 310(1):e232007.
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    19 m
  • Radiology Department Research Funding and Community Inclusion

    Radiology Department Research Funding and Community Inclusion
    Apr 30 2024

    Dr. Refky Nicola discusses the relationship between radiology department research funding and institutional community inclusion and investment with Dr. Randy Miles.

    Assessing the Relationship between Radiology Department Research Funding and Institutional Community Inclusion and Investment. Lopez et al. Radiology 2024; 310(1):e231469.
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    13 m
  • Tips for Scientific Writing

    Tips for Scientific Writing
    Apr 16 2024
    Dr. Linda Chu discusses top 10 tips for writing materials and methods in Radiology with Sarah Atzen, Scientific Editor for Radiology. Top 10 Tips for Writing Materials and Methods in Radiology: A Brief Guide for Authors. Atzen. Radiology 2024; 310(3):e240306.
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    21 m