Showing results (1-10 of 10) with videos related to
Sort By:
Pageof 1
Radiology|July 29, 2025
Drafting the Future: The Dawn of AI Report Generation in RadiologyJarrel C Y Seah, Jennifer S N Tang, Aengus TranRadiology|November 7, 2018
Chest Radiographs in Congestive Heart Failure: Visualizing Neural Network LearningJarrel C Y Seah, Jennifer S N Tang, Andy Kitchen, et al.Radiology. Artificial Intelligence|January 24, 2024
Generative Large Language Models for Detection of Speech Recognition Errors in Radiology ReportsReuben A Schmidt, Jarrel C Y Seah, Ke Cao, et al.Diagnostics (Basel, Switzerland)|July 29, 2023
Analysis of Line and Tube Detection Performance of a Chest X-ray Deep Learning Model to Evaluate Hidden StratificationCyril H M Tang, Jarrel C Y Seah, Hassan K Ahmad, et al.Diagnostics (Basel, Switzerland)|February 25, 2023
Machine Learning Augmented Interpretation of Chest X-rays: A Systematic ReviewHassan K Ahmad, Michael R Milne, Quinlan D Buchlak, et al.JAMA Network Open|December 15, 2022
Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest RadiographsJames M Hillis, Bernardo C Bizzo, Sarah Mercaldo, et al.The Lancet. Digital Health|July 5, 2021
Effect of a comprehensive deep-learning model on the accuracy of chest x-ray interpretation by radiologists: a retrospective, multireader multicase studyJarrel C Y Seah, Cyril H M Tang, Quinlan D Buchlak, et al.Journal of Imaging Informatics in Medicine|April 20, 2026
League of Radiologists-an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest RadiographyHyunji Kim, Young-Tak Kim, Saul Langarica, et al.Scientific Data|October 29, 2021
CLiP, catheter and line position datasetJennifer S N Tang, Jarrel C Y Seah, Adil Zia, et al.European Radiology|August 22, 2023
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracyQuinlan D Buchlak, Cyril H M Tang, Jarrel C Y Seah, et al.Pageof 1