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This is a Literature Review study (also classified as: Quantitative Study).

September 16, 2025Open Access

National Framework for Agentic Generative AI in Cancer Care: Policy Recommendations and System Architecture

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SJSatyadhar JoshiBank of America

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Implication

Comprehensive review highlights how agentic AI enhances cancer diagnostics and treatment outcomes, indicating further regulatory adaptations are necessary.

Key Points

Agentic AI significantly improves personalized treatment in oncology, enhancing care delivery and patient outcomes.
The implementation of agentic AI technologies can optimize drug discovery, with a focus on real-world applications and results.
Our analysis reviews agentic AI's technical foundations and outlines necessary ethical, technical, and regulatory challenges for integration.
A national framework is proposed to support the deployment of agentic AI in cancer care, enhancing efficiency and precision.

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Satyadhar Joshi (2025) studied this question.

synapsesocial.com/papers/68d46ccf31b076d99fa68f7d https://doi.org/10.20944/preprints202509.1100.v1

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Implication

Comprehensive review highlights how agentic AI enhances cancer diagnostics and treatment outcomes, indicating further regulatory adaptations are necessary.

National Framework for Agentic Generative AI in Cancer Care: Policy Recommendations and System Architecture

Discussion

Member takes

Implication

Key Points

Cite This Study

National Framework for Agentic Generative AI in Cancer Care: Policy Recommendations and System Architecture

Discussion

Member takes

Implication

Key Points

Cite This Study

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