Artificial Intelligence-Based Opportunities in Liver Pathology-A Systematic Review - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Diagnostics Année : 2023

Artificial Intelligence-Based Opportunities in Liver Pathology-A Systematic Review

Résumé

BACKGROUND: Artificial Intelligence (AI)-based Deep Neural Networks (DNNs) can handle a wide range of applications in image analysis, ranging from automated segmentation to diagnostic and prediction. As such, they have revolutionized healthcare, including in the liver pathology field. OBJECTIVE: The present study aims to provide a systematic review of applications and performances provided by DNN algorithms in liver pathology throughout the Pubmed and Embase databases up to December 2022, for tumoral, metabolic and inflammatory fields. RESULTS: 42 articles were selected and fully reviewed. Each article was evaluated through the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool, highlighting their risks of bias. CONCLUSIONS: DNN-based models are well represented in the field of liver pathology, and their applications are diverse. Most studies, however, presented at least one domain with a high risk of bias according to the QUADAS-2 tool. Hence, DNN models in liver pathology present future opportunities and persistent limitations. To our knowledge, this review is the first one solely focused on DNN-based applications in liver pathology, and to evaluate their bias through the lens of the QUADAS2 tool.
Fichier principal
Vignette du fichier
diagnostics-13-01799.pdf (2.65 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-04117275 , version 1 (05-06-2023)

Licence

Paternité

Identifiants

Citer

Pierre Allaume, Noémie Rabilloud, Bruno Turlin, Edouard Bardou-Jacquet, Olivier Loréal, et al.. Artificial Intelligence-Based Opportunities in Liver Pathology-A Systematic Review. Diagnostics, 2023, 13 (10), pp.1799. ⟨10.3390/diagnostics13101799⟩. ⟨hal-04117275⟩
44 Consultations
20 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More