“Incidentalomas” in the Age of Artificial Intelligence
Author:
Publisher
Springer Science and Business Media LLC
Subject
Internal Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11606-023-08325-x.pdf
Reference16 articles.
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2. Orme NM, Fletcher JG, Siddiki HA, et al. Incidental findings in imaging research: evaluating incidence, benefit, and burden. Arch Intern Med. 2010;170(17):1525-32. https://doi.org/10.1001/archinternmed.2010.317
3. Richter A, Sierocinski E, Singer S, et al. The effects of incidental findings from whole-body MRI on the frequency of biopsies and detected malignancies or benign conditions in a general population cohort study. European Journal of Epidemiology. 2020/10/01 2020;35(10):925-935. https://doi.org/10.1007/s10654-020-00679-4
4. Eng DK, Khandwala NB, Long J, et al. Artificial Intelligence Algorithm Improves Radiologist Performance in Skeletal Age Assessment: A Prospective Multicenter Randomized Controlled Trial. Radiology. 2021;301(3):692-699. https://doi.org/10.1148/radiol.2021204021
5. He B, Kwan AC, Cho JH, et al. Blinded, randomized trial of sonographer versus AI cardiac function assessment. Nature. 2023;616(7957):520-524. https://doi.org/10.1038/s41586-023-05947-3
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1. ERS 2023 International Congress: Thoracic Oncology Assembly highlights;ERJ Open Research;2023-11-30
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