Blockchain-Powered Verifiable AI Models for Medical Diagnosis
DOI:
https://doi.org/10.63345/Keywords:
Blockchain, Medical Diagnosis, Federated Learning, Healthcare Data Security, Zero-Knowledge Proofs, Explainable AIAbstract
The rapid expansion of artificial intelligence (AI) in healthcare has revolutionized diagnostic practices, enabling applications such as tumor detection in medical imaging, genomic analysis, and predictive risk modeling for early disease prevention. Despite these advancements, concerns about the opacity, trustworthiness, and auditability of AI systems remain significant barriers to clinical adoption. Medical practitioners, regulators, and patients increasingly demand systems that not only produce accurate results but also provide verifiable guarantees regarding the integrity and accountability of diagnostic processes.
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