@article{a14f72254b07466b9b7aee4b7fa888cb,
title = "Majority voting of doctors improves appropriateness of AI reliance in pathology",
keywords = "Appropriate reliance, Artificial intelligence, Majority voting, Pathology",
author = "Hongyan Gu and Chunxu Yang and Shino Magaki and Neda Zarrin-Khameh and Lakis, \{Nelli S.\} and Inma Cobos and Negar Khanlou and Zhang, \{Xinhai R.\} and Jasmeet Assi and Byers, \{Joshua T.\} and Ameer Hamza and Karam Han and Anders Meyer and Hilda Mirbaha and Mohila, \{Carrie A.\} and Stevens, \{Todd M.\} and Stone, \{Sara L.\} and Wenzhong Yan and Mohammad Haeri and Chen, \{Xiang {\textquoteleft}Anthony{\textquoteright}\}",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors",
year = "2024",
month = oct,
doi = "10.1016/j.ijhcs.2024.103315",
language = "English",
volume = "190",
journal = "International Journal of Human Computer Studies",
issn = "1071-5819",
}