Petreska, Anita and Nedelkovski, Igor and Bocevska, Andrijana and Ristevski, Blagoj (2025) Design and Implementation of an Intelligent Virtual Medical Agent for Health Risk Assessment. In: 15th International Conference on Applied Internet and Information Technologies (AIIT2025), November 7, 2025, Bitola, Macedonia.
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Abstract
The development of artificial intelligence (AI) has opened new opportunities for the digital transformation of the healthcare system, enabling automation of initial symptom assessment, intelligent decision support, and improved communication between patients and healthcare professionals. This paper presents the design and conceptual framework of an intelligent virtual medical agent (IVMA) that combines machine learning (ML) and natural language processing (NLP) for interactive, contextual, and explainable healthcare assessment. Methodologically, the research is based on a Design Science Research (DSR) approach and includes architectural modeling, system logic design, and development of a demonstration prototype (Python/Gradio) with local processing, visual BMI analysis, and automatic PDF report generation. The architecture applies the principles of Explainable AI (XAI) and privacy-by-design for transparency, confidentiality, and compliance with GDPR and HIPAA. The proposed model demonstrates technical feasibility, interoperability, and potential for application in preventive medicine, digital triage, and clinical decision-making, especially in resource-limited settings.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | Scientific Fields (Frascati) > Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Information and Communication Technologies |
| Depositing User: | Prof. d-r. Andrijana Bocevska |
| Date Deposited: | 10 Dec 2025 10:22 |
| Last Modified: | 10 Dec 2025 10:22 |
| URI: | https://eprints.uklo.edu.mk/id/eprint/11268 |
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