This paper presents the concept and architecture of an intelligent system for automatic processing of medicallaboratory test results. The system integrates three key components: EasyOCR-based optical character recognitionfor extracting data from scanned forms, structured JSON storage for normalized results, and a local language model(OLM) via the Ollama framework for generating personalized medical recommendations. The application of Retrieval-Augmented Generation improves the clinical accuracy of recommendations to 4.6 out of 5.0 points. The achieved OCRaccuracy of 95.5% for numerical fields meets ISO 15189 requirements. Total processing time per form does not exceed17 seconds on CPU. The key advantage is a fully local architecture ensuring compliance with GDPR, HIPAA, and FederalLaw No. 152-FZ on personal data.
| Mualliflar | Gofurjonov , Muhammadali, Kamolov , Shamsiddin |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashriyot | Тошкент давлат иқтисодиёт университети |
| Nashr sanasi | 2026-04-01 |
| Jild | 2 |
| Son | 4 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.19606581 |
| Indeksga qo‘shilgan | 2026-08-26 |
DOI: 10.5281/zenodo.19606581 · Maqolaning asl sahifasi
EasyOCR, JSON, LLM, OLM, Ollama, laboratory diagnostics, artificial intelligence, NLP, CDSS, RAG, medical data, clinical decision support
| APA | Gofurjonov , Muhammadali, & Kamolov , Shamsiddin (2026). DEVELOPMENT OF A PROGRAM FOR ANALYZING MEDICAL LABORATORY RESULTS USING ARTIFICIAL INTELLIGENCE MODELS. Innovation science and technologiy, 2(4). https://doi.org/10.5281/zenodo.19606581 |
|---|---|
| GOST (OAK) | Gofurjonov , Muhammadali, Kamolov , Shamsiddin DEVELOPMENT OF A PROGRAM FOR ANALYZING MEDICAL LABORATORY RESULTS USING ARTIFICIAL INTELLIGENCE MODELS // Innovation science and technologiy. – 2026. – T. 2, № 4. – DOI: 10.5281/zenodo.19606581. |
| MLA | Gofurjonov , Muhammadali, and Kamolov , Shamsiddin. “DEVELOPMENT OF A PROGRAM FOR ANALYZING MEDICAL LABORATORY RESULTS USING ARTIFICIAL INTELLIGENCE MODELS.” Innovation science and technologiy, 2(4), 2026. https://doi.org/10.5281/zenodo.19606581 |
| Chicago | Gofurjonov , Muhammadali, and Kamolov , Shamsiddin. “DEVELOPMENT OF A PROGRAM FOR ANALYZING MEDICAL LABORATORY RESULTS USING ARTIFICIAL INTELLIGENCE MODELS.” Innovation science and technologiy, 2(4) (2026). https://doi.org/10.5281/zenodo.19606581 |
| Harvard | Gofurjonov , Muhammadali, and Kamolov , Shamsiddin (2026) ‘DEVELOPMENT OF A PROGRAM FOR ANALYZING MEDICAL LABORATORY RESULTS USING ARTIFICIAL INTELLIGENCE MODELS’, Innovation science and technologiy, 2(4). https://doi.org/10.5281/zenodo.19606581 |
| BibTeX | @article{gofurjonovmuhammadali2026,
title = {DEVELOPMENT OF A PROGRAM FOR ANALYZING MEDICAL LABORATORY RESULTS USING ARTIFICIAL INTELLIGENCE MODELS},
author = {Gofurjonov , Muhammadali and Kamolov , Shamsiddin},
journal = {Innovation science and technologiy},
year = {2026},
volume = {2},
number = {4},
doi = {10.5281/zenodo.19606581},
url = {https://doi.org/10.5281/zenodo.19606581}
} |
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