International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | AI-Driven Multi-Agent System for Medical Response |
|---|---|
| ABSTRACT | Medical emergency assistance is traditionally a manual, stressful, and time-sensitive process that depends heavily on user judgment and the availability of timely medical support. Recent advancements in AI and multimodal systems have shown potential in automating parts of emergency triage, yet single-model solutions struggle with limited contextual understanding, lack of real-time location awareness, and difficulties supporting users under distress. This paper proposes a multi-agent, AI-driven medical response framework that integrates voice-based symptom reporting, symptom extraction, severity classification, geolocation-based hospital discovery, and generative AI guidance to enhance emergency decision-making. The system intelligently coordinates specialized agents to interpret symptoms, determine urgency, identify nearby healthcare facilities, and deliver personalized first-aid and navigation support. Evaluation through simulated emergency scenarios demonstrates significant improvements in symptom understanding accuracy, response time, and user accessibility. The proposed framework establishes a pathway toward scalable, adaptive, and usercentered AI systems for real-time medical emergency assistance. |
| AUTHOR | PROF. RADHIKA PATIL, SIDDHARTH U, S KEERTHI, NIRIKSHA D, MOHAMMED JUNAID Assistant Professor, Department of Computer Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India UG Student, Department of Computer Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312024 |
| pdf/24_AI-Driven Multi-Agent System for Medical Response.pdf | |
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