Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support-Reference-Cited by-同舟云学术

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Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support

Published:2023-01-23 Issue:1 Volume:5 Page:46-57
ISSN:2522-5839
Container-title:Nature Machine Intelligence
language:en
Short-container-title:Nat Mach Intell

Author:

Sharma Ashish,Lin Inna W.,Miner Adam S.^ORCID,Atkins David C.,Althoff Tim^ORCID

Funder

National Science Foundation

U.S. Department of Health & Human Services | National Institutes of Health

United States Department of Defense | United States Navy | Office of Naval Research

Microsoft AI for Accessibility grant Garvey Institute Innovation grant

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Link

https://www.nature.com/articles/s42256-022-00593-2.pdf

Reference84 articles.

1. Rajpurkar, P., Chen, E., Banerjee, O. & Topol, E. J. AI in health and medicine. Nat. Med. 28, 31–38 (2022).

2. Hosny, A. & Aerts, H. J. Artificial intelligence for global health. Science 366, 955–956 (2019).

3. Patel, B. N. et al. Human–machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Med. 2, 111 (2019).

4. Tschandl, P. et al. Human–computer collaboration for skin cancer recognition. Nat. Med. 26, 1229–1234 (2020).

5. Cai, C. J., Winter, S., Steiner, D., Wilcox, L. & Terry, M. ‘Hello AI’: uncovering the onboarding needs of medical practitioners for human–AI collaborative decision-making. Proc. ACM Hum.-Comput. Interact. 3, 1–24 (2019).

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