Healthcare-Focused Turkish Medical LLM: Training on Real Patient-Doctor Question-Answer Data for Enhanced Medical Insight

Basit Öğe Kaydı
dc.authorid0000-0003-1298-4521
dc.contributor.authorBayram, M. Ali
dc.contributor.authorDiri, Banu
dc.contributor.authorYildirim, Savas
dc.date.accessioned2026-04-04T18:55:55Z
dc.date.available2026-04-04T18:55:55Z
dc.date.issued2025
dc.departmentİstanbul Bilgi Üniversitesi
dc.description.abstractThe development of a Turkish-specific Large Language Model (LLM) for healthcare presents a unique opportunity to enhance AI's accessibility and relevance for Turkish-speaking medical practitioners and patients. This study introduces a specialized Turkish Medical LLM fine-tuned on over 167,732 real patient-doctor question-answer pairs sourced from a trusted medical platform and capturing authentic linguistics in Turkish medical language. Utilizing models like LLAMA 3, the fine-tuning process was supported by Low-Rank Adaptation (LoRA) and involved innovative methods to mitigate catastrophic forgetting, including spherical linear interpolation (Slerp) merging. Evaluation of the model's performance through similarity scores, GPT-3.5 assessments, and expert reviews indicates significant improvement in the model's ability to generate medically accurate responses. This Turkish Medical LLM demonstrates potential to support medical decision-making and patient interaction in Turkish healthcare settings, offering an essential resource for enhancing AI inclusivity across languages.
dc.identifier.doi10.1145/3772000
dc.identifier.doi10.1145/3772000
dc.identifier.issn2375-4699
dc.identifier.issn2375-4702
dc.identifier.issue11
dc.identifier.scopus2-s2.0-105024070894
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.1145/3772000
dc.identifier.urihttps://hdl.handle.net/11411/10619
dc.identifier.volume24
dc.identifier.wosWOS:001632497500011
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherAssoc Computing Machinery
dc.relation.ispartofAcm Transactions on Asian and Low-Resource Language Information Processing
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WoS_20260402
dc.snmzKA_Scopus_20260402
dc.subjectTurkish Medical Llm
dc.subjectHealthcare Ai
dc.subjectPatient-Doctor Interactions
dc.subjectModel Fine-Tuning
dc.subjectCatastrophic Forgetting
dc.subjectLow-Rank Adaptation
dc.titleHealthcare-Focused Turkish Medical LLM: Training on Real Patient-Doctor Question-Answer Data for Enhanced Medical Insight
dc.typeArticle

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