This study investigated the performance of ChatGPT-4.0o in evaluating the quality of positioning in radiographic images. Thirty radiographs depicting a variety of knee, elbow, ankle, hand, pelvis, and
Full automation using Artificial Intelligence (AI) predictions may not be optimal if humans have information not available to the AI (contextual information). We study human-AI collaboration using an
PurposeTo develop a better radiomic model for the differential diagnosis of benign and lung adenocarcinoma lesions presenting as larger solid nodules and masses based on multiscale computed tomography
--- license: mit tags: - infinite-dataset-hub - synthetic --- # RadiologyImageAnomalies tags: Classification, Anomaly Detection, Imaging _Note: This is an AI-generated dataset so its content may be