Showing results (1-10 of 24) with videos related to
Sort By:
Pageof 3
Patterns (New York, N.Y.)|April 23, 2025
Can an accurate model be bad?Melissa D McCradden, Mjaye L Mazwi, Lauren Oakden-RaynerThe Lancet. Digital Health|July 26, 2024
Medical artificial intelligence for clinicians: the lost cognitive perspectiveLana Tikhomirov, Carolyn Semmler, Melissa McCradden, et al.Journal of Medical Imaging and Radiation Oncology|November 21, 2022
Assessment of a single-pass venous phase CT chest, abdomen and pelvis and dual-energy CT in general oncology outpatientsHuey Ming Seah, Hau Cher Choi, Nicholas Bajic, et al.The Lancet. Digital Health|April 9, 2022
The medical algorithmic auditXiaoxuan Liu, Ben Glocker, Melissa M McCradden, et al.Journal of Medical Imaging and Radiation Oncology|December 15, 2022
Fostering an inclusive workplace for LGBTQIA+ people in radiology and radiation oncologyAlix Bird, Vaz Zavaletta, Evelyn F Carroll, et al.Journal of Imaging Informatics in Medicine|June 24, 2026
How is Bias Learned in Medical Image Analysis Models? An Exploration of the Encoding of Demographic Information in Deep Learning Models Trained to Detect Abnormalities on Chest X-RaysNikhil Cherian Kurian, Phoenix Williams, Sahar Abdulrahman, et al.Clinical Rheumatology|March 27, 2024
Prognostic modeling in early rheumatoid arthritis: reconsidering the predictive role of disease activity scoresAlix Bird, Lauren Oakden-Rayner, Luke A Smith, et al.The Lancet. Digital Health|November 24, 2023
Machine learning and deep learning predictive models for long-term prognosis in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysisLuke A Smith, Lauren Oakden-Rayner, Alix Bird, et al.The Lancet. Digital Health|April 9, 2022
Validation and algorithmic audit of a deep learning system for the detection of proximal femoral fractures in patients in the emergency department: a diagnostic accuracy studyLauren Oakden-Rayner, William Gale, Thomas A Bonham, et al.Radiology. Artificial Intelligence|May 8, 2024
Impact of Transfer Learning Using Local Data on Performance of a Deep Learning Model for Screening MammographyJames J J Condon, Vincent Trinh, Kelly A Hall, et al.Pageof 3