RT Journal Article
T1 Artificial Intelligence: An Emerging Tool for Studying Drug-Induced Liver Injury
A1 Niu, Hao
A1 Álvarez-Álvarez, Ismael
A1 Chen, Minjun
K1 Inteligencia artificial - Aplicaciones médicas
K1 Hígado - Lesiones y heridas
K1 Medicamentos - Toxicología
K1 Aprendizaje automático (Inteligencia artificial)
K1 Procesamiento del lenguaje natural
K1 Pronóstico médico
K1 Riesgos para la salud
K1 Marcadores bioquímicos
AB 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.
PB WILEY
YR 2025
FD 2025-02-21
LK https://hdl.handle.net/10630/39894
UL https://hdl.handle.net/10630/39894
LA eng
NO Niu, H., Alvarez‐Alvarez, I., & Chen, M. (2025). Artificial Intelligence: An Emerging Tool for Studying Drug‐Induced Liver Injury. Liver International, 45(3), e70038
NO Funding for open access charge: Universidad de Málaga / CBUA
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026