2026-05-31T23:03:04Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/398942026-02-03T11:14:40Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Niu, Hao
author
Álvarez-Álvarez, Ismael
author
Chen, Minjun
2025-09-15T08:28:29Z
2025-09-15T08:28:29Z
2025-02-21
Niu, H., Alvarez‐Alvarez, I., & Chen, M. (2025). Artificial Intelligence: An Emerging Tool for Studying Drug‐Induced Liver Injury. Liver International, 45(3), e70038
https://hdl.handle.net/10630/39894
10.1111/liv.70038
Drug-induced liver injury (DILI) is a complex and potentially severe adverse reaction to drugs, herbal products or dietary supplements. DILI can mimic other liver diseases clinical presentation, and currently lacks specific diagnostic biomarkers, which hinders its diagnosis. In some cases, DILI may progress to acute liver failure. Given its public health risk, novel methodologies to enhance the understanding of DILI are crucial. Recently, the increasing availability of larger datasets has highlighted artificial intelligence (AI) as a powerful tool to construct complex models. In this review, we summarise the evidence about the use of AI in DILI research, explaining fundamental AI concepts and its subfields. We present findings from AI-based approaches in DILI investigations for risk stratification, prognostic evaluation and causality assessment and discuss the adoption of natural language processing (NLP) and large language models (LLM) in the clinical setting. Finally, we explore future perspectives and challenges in utilising AI for DILI research.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Inteligencia artificial - Aplicaciones médicas
Hígado - Lesiones y heridas
Medicamentos - Toxicología
Aprendizaje automático (Inteligencia artificial)
Procesamiento del lenguaje natural
Pronóstico médico
Riesgos para la salud
Marcadores bioquímicos
Artificial Intelligence: An Emerging Tool for Studying Drug-Induced Liver Injury
journal article
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URL
https://riuma.uma.es/bitstreams/581e312c-5ee6-4495-8192-a0f1b9de4340/download
File
MD5
65591e099f487401a8822725c8323387
499204
application/pdf
Liver International - 2025 - Niu - Artificial Intelligence An Emerging Tool for Studying Drug‐Induced Liver Injury.pdf