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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54836

Multi AI – Agent Medical Assistant System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54836

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM54836

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ES

E. Subramanian

RS

Rohith S

SCB

Saiesh C B

SRRB

Sanjith Raam R B

SC

Sudarsan C

SR

Sujith R

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Abstract

The Medical Agent System is a multi-agent artificial intelligence framework designed to provide real-time medical image interpretation and knowledge-supported clinical assistance. The system integrates specialized agents responsible for image analysis, data extraction, and context-aware reasoning using deep learning and natural language processing techniques. Medical images such as X-rays, MRIs, and CT scans are processed using trained vision models, while a retrieval component accesses structured medical knowledge to generate accurate and evidence-based responses. The multi-agent architecture ensures modularity, parallel processing, and intelligent coordination between agents, resulting in improved diagnostic support and faster information access. This project highlights the potential of agent-driven AI systems to enhance clinical workflows, support medical professionals, and improve decision-making in healthcare environments.

KEYWORDS

Multi-Agent System Medical Image Analysis Deep Learning Knowledge Retrieval Clinical Decision Support Artificial Intelligence Medical Diagnostics

Cite This Article

E. Subramanian, Rohith S, Saiesh C B, Sanjith Raam R B, Sudarsan C, Sujith R, "Multi AI – Agent Medical Assistant System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM54836

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Publication Date

5/11/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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