A Dataset for Understanding Radiologist-Artificial Intelligence Collaboration

• Published in: Scientific data Vol. 12; no. 1; pp. 739 - 7
• Main Authors: Moehring, Alex, Kutwal, Manasi, Huang, Ray, Banerjee, Oishi, Jacobi, Adam, Eber, Corey, Mendoza, Dexter, Chung, Mike, Dayan, Etan, Gupta, Yogesh, Bui, Tan D. T., Truong, Steven Q. H., Pareek, Anuj, Langlotz, Curtis P., Lungren, Matthew P., Agarwal, Nikhil, Rajpurkar, Pranav, Salz, Tobias
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 03.05.2025; Nature Publishing Group; Nature Portfolio
• Subjects: 692/700/139; 692/700/1421/1770; 692/700/3934; 706/689/159; 706/689/2788; Artificial Intelligence; Collaboration; Cooperative Behavior; Data Descriptor; Datasets; Decision making; Humanities and Social Sciences; Humans; Medical imaging; multidisciplinary; Radiography, Thoracic; Radiologists; Radiology; Science; Science (multidisciplinary); Thorax

This dataset, Collab-CXR, provides a unique resource to study human-AI collaboration in chest X-ray interpretation. We present experimentally generated data from 227 professional radiologists who assessed 324 historical cases under varying information conditions: with and without AI assistance, and...