As the integration of artificial intelligence (AI) into radiology workflows continues to evolve, establishing standardized processes for the evaluation and deployment of AI models is crucial to ensure success. This paper outlines the creation of a Radiology AI Council at a large academic center and subsequent development of framework in the form of a rubric to formalize the evaluation of radiology AI models and onboard them into clinical workflows. The rubric aims to address the challenges faced…
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Cost-Effectiveness of Follow-up Imaging for Incidental Adrenal Nodules to Rule Out Adrenocortical Carcinoma
Several follow-up recommendations have been developed to assess for risk of malignancy of incidental adrenal nodules, but none have been validated in prospective trials. The purpose of this study is to develop a simulation model that evaluates the cost-effectiveness of follow-up imaging to detect adrenocortical carcinoma in adrenal nodules in patients with no known malignancy.
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Inpatient Imaging Utilization and Radiology Workload: Trends of the Past Decade and Through the COVID-19 Pandemic
To assess inpatient radiology imaging utilization and workload trends at a large academic medical center from fiscal year (FY)2013-2023.
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Diversity in Interventional Radiology Residency Programs
To assess diversity within the integrated interventional radiology (IR) residency programs.
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Disparities of Distant Metastasis Evaluation Imaging for Rectal Cancer
: To determine demographic factors associated with receipt of initial distant metastasis imaging and the time delay between diagnosis and imaging among rectal cancer patients.
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Impact of the COVID-19 Pandemic on Breast Biopsy Delays: Factors Contributing to Disparities Across Pre-Pandemic, Shutdown, and Post-Shutdown Periods
The COVID-19 pandemic significantly disrupted healthcare delivery, leading to delays in diagnostic procedures.