aceEthical Considerations on Artificial Intelligence, Health and Health Care. All That Glisters Is Not Gold
Background Artificial intelligence (AI) is transforming global health care through innovations in deep learning, generative models and agentic AI systems. Traditional reductionist approaches to complex pathophysiological pathways fail to capture the true complexity of disease, motivating the adoption of network medicine (NM), which models biological systems as dynamic, interconnected networks. When combined with AI, NM enables integration of multiomic data and better characterizes disease mechanisms to guide pre…
Results Yet, challenges persist, including algorithmic bias, data inequity and variable regulatory standards across regions.
Evidence
- Peer-reviewedEuropean Journal of Clinical Investigation2026-09-01
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Truvace Impact Record TRV-2026-0972, v1: “Ethical Considerations on Artificial Intelligence, Health and Health Care. All That Glisters Is Not Gold.” Truvace, 2026-09-03. /record/TRV-2026-0972 (accessed at citation time). sha256 7f555598e9d114bd…
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