Domain-specific language models: innovation with inherent risks

There are potential advantages of domain-specific solutions, built by fine-tuning pretrained LLMs with healthcare data, but this approach has certain drawbacks: privacy, biases and accuracy.

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Publication Details

Journal
Revista Española de Enfermedades Digestivas
Published
2025-01-01
DOI
https://doi.org/10.17235/reed.2025.11224/2025
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Domain-specific language models: innovation with inherent risks

Julio Mayol, Ramiro Fernandez, Marcos Gámez Alastuey
Revista Española de Enfermedades Digestivas
Semantic Web and Ontologies
article

Domain-specific language models: innovation with inherent risks

Julio Mayol, Ramiro Fernandez, Marcos Gámez Alastuey
article en

Abstract

There are potential advantages of domain-specific solutions, built by fine-tuning pretrained LLMs with healthcare data, but this approach has certain drawbacks: privacy, biases and accuracy.

Revista Española de Enfermedades DigestivasVol. 117(6)
Hospital Clínico San Carlos (ES)
Industry, innovation and infrastructure
Openalex Percentile: Top 97%
Semantic Web and Ontologies
DOISourceOpenAlex
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Domain-specific language models: innovation with inherent risks — Julio Mayol, Ramiro Fernandez, et al. · Revista Española de Enfermedades Digestivas (2025) | TGRS Research Map | TGRS