Lessons Learned from Historical Failures, Limitations and Successes of AI/ML in Healthcare and the Health Sciences. Enduring Problems, and the Role of Best Practices.
- DOI
- 10.1007/978-3-031-39355-6_12
- Published
- 2024
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- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/978-3-031-39355-6_12,
title = {Lessons Learned from Historical Failures, Limitations and Successes of AI/ML in Healthcare and the Health Sciences. Enduring Problems, and the Role of Best Practices.},
author = {Simon GJ and Aliferis C and Aliferis C and Simon G},
year = {2024},
doi = {10.1007/978-3-031-39355-6_12},
url = {https://doi.org/10.1007/978-3-031-39355-6_12}
}RIS
TY - JOUR TI - Lessons Learned from Historical Failures, Limitations and Successes of AI/ML in Healthcare and the Health Sciences. Enduring Problems, and the Role of Best Practices. AU - Simon GJ AU - Aliferis C AU - Aliferis C AU - Simon G PY - 2024 DO - 10.1007/978-3-031-39355-6_12 UR - https://doi.org/10.1007/978-3-031-39355-6_12 ER -
APA
GJ, S., C, A., C, A., & G, S. (2024). Lessons Learned from Historical Failures, Limitations and Successes of AI/ML in Healthcare and the Health Sciences. Enduring Problems, and the Role of Best Practices.. https://doi.org/10.1007/978-3-031-39355-6_12
Source records
- pubmed · retrieved 2026-09-25T12:11:30.144Z