biostudies-literatureCaldonazzi NEuropean Union - NextGenerationEU through the Italian Ministry of University and Research under PNRR - M4C2-I1.3 Project PE_00000019 "HEAL ITALIA"2491https://www.ebi.ac.uk/biostudies/studies/S-EPMC10177013biostudies-literatureUnknown15(9)One of the most relevant prognostic factors in cancer staging is the presence of lymph node (LN) metastasis. Evaluating lymph nodes for the presence of metastatic cancerous cells can be a lengthy, monotonous, and error-prone process. Owing to digital pathology, artificial intelligence (AI) applied to whole slide images (WSIs) of lymph nodes can be exploited for the automatic detection of metastatic tissue. The aim of this study was to review the literature regarding the implementation of AI as a tool for the detection of metastases in LNs in WSIs. A systematic literature search was conducted in PubMed and Embase databases. Studies involving the application of AI techniques to automatically analyze LN status were included. Of 4584 retrieved articles, 23 were included. Relevant articles wereCancersValue of Artificial Intelligence in Evaluating Lymph Node Metastases.PMC10177013B33C22001030006Fusco NPantanowitz LRizzo PCEccher AMarletta Sd'Amati GGirolami IFanelli GNNaccarato AGCaldonazzi NScarpa ABonizzi GfalseValue of Artificial Intelligence in Evaluating Lymph Node Metastases.One of the most relevant prognostic factors in cancer staging is the presence of lymph node (LN) metastasis. Evaluating lymph nodes for the presence of metastatic cancerous cells can be a lengthy, monotonous, and error-prone process. Owing to digital pathology, artificial intelligence (AI) applied to whole slide images (WSIs) of lymph nodes can be exploited for the automatic detection of metastatic tissue. The aim of this study was to review the literature regarding the implementation of AI as a tool for the detection of metastases in LNs in WSIs. A systematic literature search was conducted in PubMed and Embase databases. Studies involving the application of AI techniques to automatically analyze LN status were included. Of 4584 retrieved articles, 23 were included. Relevant articles were2023-01-01T00:00:00Z2023 Apr2025-04-22T00:34:22.442Z2025-04-22T00:34:22.442ZS-EPMC101770133717395810.3390/cancers15092491