Majority voting of doctors improves appropriateness of AI reliance in pathology

Hongyan Gu, Chunxu Yang, Shino Magaki, Neda Zarrin-Khameh, Nelli S. Lakis, Inma Cobos, Negar Khanlou, Xinhai R. Zhang, Jasmeet Assi, Joshua T. Byers, Ameer Hamza, Karam Han, Anders Meyer, Hilda Mirbaha, Carrie A. Mohila, Todd M. Stevens, Sara L. Stone, Wenzhong Yan, Mohammad Haeri, Xiang ‘Anthony’ Chen

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number103315
JournalInternational Journal of Human Computer Studies
Volume190
DOIs
StatePublished - Oct 2024
Externally publishedYes

ASJC Scopus Subject Areas

  • Human Factors and Ergonomics
  • Software
  • Education
  • General Engineering
  • Human-Computer Interaction
  • Hardware and Architecture

Keywords

  • Appropriate reliance
  • Artificial intelligence
  • Majority voting
  • Pathology

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