Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis-Reference-Cited by-同舟云学术

Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis

Published:2024-05-11 Issue: Volume:3 Page:1-18
ISSN:
Container-title:Proceedings of the CHI Conference on Human Factors in Computing Systems
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Author:

Zhang Shao¹^ORCID,Yu Jianing²^ORCID,Xu Xuhai³^ORCID,Yin Changchang⁴^ORCID,Lu Yuxuan¹^ORCID,Yao Bingsheng⁵^ORCID,Tory Melanie⁶^ORCID,Padilla Lace M.⁷^ORCID,Caterino Jeffrey⁴^ORCID,Zhang Ping⁴^ORCID,Wang Dakuo¹^ORCID

Affiliation:

1. Northeastern University, United States

2. Hong Kong University, Hong Kong

3. Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, United States

4. The Ohio State University, United States

5. Computer Science, Rensselaer Polytechnic Institute, United States

6. Roux Institute, Northeastern University, United States

7. Computer Science, Northeastern University, United States

Funder

National Science Foundation

National Institutes of Health

NIH (National Institutes of Health)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613904.3642343

Reference107 articles.

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2. Guidelines for Human-AI Interaction

3. Patient Subtyping via Time-Aware LSTM Networks

4. Armando D Bedoya, Meredith E Clement, Matthew Phelan, Rebecca C Steorts, Cara O’Brien, and Benjamin A Goldstein. 2019. Minimal impact of implemented early warning score and best practice alert for patient deterioration. Critical care medicine 47, 1 (2019), 49.

5. A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

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