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September 5, 2025Open Access

Multimodal Generative AI in Diagnostics: Bridging Medical Imaging and Clinical Reasoning

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Authors

MMMorteza MalekiSGSeyedAli Ghahari

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Overview

This review highlights advancements in generative AI for medical imaging and clinical decision-making, suggesting multidisciplinary collaboration for improved diagnostics.

Key Points

  • Generative AI improves diagnostic accuracy and personalized patient care by integrating various data sources.
  • Recent AI methodologies include models such as GANs and LLMs, effectively addressing data scarcity in rare diseases.
  • The review identifies challenges in ethics and regulations surrounding AI, emphasizing the need for transparency and accountability.
  • Future priorities for research include establishing standardized datasets and enhancing model interpretability to support clinical applications.

Cite This Study

Maleki et al. (2025) studied this question.

synapsesocial.com/papers/68bb4def6d6d5674bcd01ef9https://doi.org/10.20944/preprints202508.1425.v2
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