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October 12, 2025Open Access

GenAI Agents for Early Disease Diagnosis: A Review of Architectures, Applications, and Policy Directions

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SJSatyadhar Joshi

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Overview

Review highlights how AI agents improve diagnostic accuracy and operational efficiency in healthcare, suggesting significant advancements in medical imaging and multimodal data processing.

Key Points

  • GenAI agents enhance diagnostic accuracy, achieving improvements of 15-25% in AUC-ROC across various studies.
  • Utilizing advanced machine learning architectures, these AI systems integrate multimodal data for comprehensive disease diagnosis and treatment recommendations.
  • Challenges include ensuring data privacy compliance with regulations like HIPAA and GDPR, alongside the need for model interpretability using techniques such as SHAP and LIME.
  • Future research aims to develop federated learning approaches for secure model training, addressing regulatory hurdles while advancing medical superintelligence capabilities.

Cite This Study

Satyadhar Joshi (2025) studied this question.

synapsesocial.com/papers/68ebffcfdef9fcb308ff24c8https://doi.org/10.20944/preprints202510.0547.v1
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