Factors influencing the effectiveness of artificial intelligence-assisted decision-making in medicine: a scoping review.
Saved in:
| Title: | Factors influencing the effectiveness of artificial intelligence-assisted decision-making in medicine: a scoping review. |
|---|---|
| Authors: | Jackson NJ; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37203, United States., Brown KE; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States., Miller R; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37203, United States., Murrow M; Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37203, United States., Cauley MR; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States., Collins BX; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States.; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, United States., Novak LL; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States., Benda NC; School of Nursing, Columbia University, New York City, NY 10032, United States., Ancker JS; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37203, United States. |
| Source: | Journal of the American Medical Informatics Association : JAMIA [J Am Med Inform Assoc] 2026 May 01; Vol. 33 (5), pp. 1054-1064. |
| Publication Type: | Scoping Review; Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: England NLM ID: 9430800 Publication Model: Print Cited Medium: Internet ISSN: 1527-974X (Electronic) Linking ISSN: 10675027 NLM ISO Abbreviation: J Am Med Inform Assoc Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
Be the first to leave a comment!
