Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19918, first published .
Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?

Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?

Is Artificial Intelligence Better Than Human Clinicians in Predicting Patient Outcomes?

Authors of this article:

Joon Lee1, 2, 3 Author Orcid Image

Journals

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  9. Shingshetty L, Maheshwari A, McLernon D, Bhattacharya S. Should we adopt a prognosis-based approach to unexplained infertility?. Human Reproduction Open 2022;2022(4) View
  10. Xiong W, Fan H, Ma L, Wang C. Challenges of human—machine collaboration in risky decision-making. Frontiers of Engineering Management 2022;9(1):89 View
  11. Emani S, Rui A, Rocha H, Rizvi R, Juaçaba S, Jackson G, Bates D. Physicians’ Perceptions of and Satisfaction With Artificial Intelligence in Cancer Treatment: A Clinical Decision Support System Experience and Implications for Low-Middle–Income Countries. JMIR Cancer 2022;8(2):e31461 View
  12. Jang W, Choi Y, Kim J, Yon D, Lee Y, Chung S, Kim C, Yeo S, Lee J. Artificial Intelligence–Driven Respiratory Distress Syndrome Prediction for Very Low Birth Weight Infants: Korean Multicenter Prospective Cohort Study. Journal of Medical Internet Research 2023;25:e47612 View
  13. Wegner M, Fontaine V, Nana P, Dieffenbach B, Fabre D, Haulon S. Artificial Intelligence–Assisted Sac Diameter Assessment for Complex Endovascular Aortic Repair. Journal of Endovascular Therapy 2023 View
  14. Yang J, Yan J, Xiong C, Zhang X, Shen L, Zhi J, Ma S, Dong H, Yang Y. Development and validation of a scoring system to predict esophagogastroduodenoscopy necessity. Journal of Digestive Diseases 2023;24(12):671 View
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