The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
2.1. Topic-Modeling-Procedure Overview
2.2. Journal Article Search Strategy
2.3. Topic Modeling R
3. Results
3.1. AI Explainability Addresses Ethical Challenges in Healthcare
3.2. Integrating Explainable AI in Healthcare for Trustworthy Precision Medicine
3.3. Advancing Precision Medicine through Deep Learning and Explainable Artificial Intelligence
4. Discussion
4.1. Limitations
4.2. Future Directions
5. Conclusions
Supplementary Materials
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Allen, B. The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review. J. Pers. Med. 2024, 14, 277. https://doi.org/10.3390/jpm14030277
Allen B. The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review. Journal of Personalized Medicine. 2024; 14(3):277. https://doi.org/10.3390/jpm14030277
Chicago/Turabian StyleAllen, Ben. 2024. "The Promise of Explainable AI in Digital Health for Precision Medicine: A Systematic Review" Journal of Personalized Medicine 14, no. 3: 277. https://doi.org/10.3390/jpm14030277