BPG is committed to discovery and dissemination of knowledge
Cited by in CrossRef
For: Rompianesi G, Pegoraro F, Ceresa CD, Montalti R, Troisi RI. Artificial intelligence in the diagnosis and management of colorectal cancer liver metastases. World J Gastroenterol 2022; 28(1): 108-122 [PMID: 35125822 DOI: 10.3748/wjg.v28.i1.108]
URL: https://www.wjgnet.com/1007-9327/full/v28/i1/108.htm
Number Citing Articles
1
Anas Taha, Vincent Ochs, Leos N. Kayhan, Bassey Enodien, Daniel M. Frey, Lukas Krähenbühl, Stephanie Taha-Mehlitz. Advancements of Artificial Intelligence in Liver-Associated Diseases and SurgeryMedicina 2022; 58(4): 459 doi: 10.3390/medicina58040459
2
Thifhelimbilu Luvhengo, Thulo Molefi, Demetra Demetriou, Rodney Hull, Zodwa Dlamini. Artificial Intelligence and Precision Oncology2023; : 49 doi: 10.1007/978-3-031-21506-3_3
3
Hao Hu, Jia Chang Chi, Bo Zhai, Jin He Guo. CT-based radiomics analysis to predict local progression of recurrent colorectal liver metastases after microwave ablationMedicine 2023; 102(52): e36586 doi: 10.1097/MD.0000000000036586
4
Gianluca Rompianesi, Francesca Pegoraro, Lorenzo Ramaci, Carlo DL Ceresa, Roberto Montalti, Roberto I Troisi. Preoperative planning and intraoperative real-time navigation with indocyanine green fluorescence in robotic liver surgeryLangenbeck's Archives of Surgery 2023; 408(1) doi: 10.1007/s00423-023-03024-x
5
Binxu Qiu, Xiao hu Su, Xinxin Qin, Quan Wang. Application of machine learning techniques in real-world research to predict the risk of liver metastasis in rectal cancerFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.1065468
6
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, Roberta Galdiero, Nicola Maggialetti, Renato Patrone, Alessandro Ottaiano, Guglielmo Nasti, Lucrezia Silvestro, Antonio Cassata, Francesca Grassi, Antonio Avallone, Francesco Izzo, Antonella Petrillo. Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomicsInfectious Agents and Cancer 2023; 18(1) doi: 10.1186/s13027-023-00495-x
7
Isaac Seow-En, Ye Xin Koh, Yun Zhao, Boon Hwee Ang, Ivan En-Howe Tan, Aik Yong Chok, Emile John Kwong Wei Tan, Marianne Kit Har Au. Predictive modeling algorithms for liver metastasis in colorectal cancer: A systematic review of the current literatureAnnals of Hepato-Biliary-Pancreatic Surgery 2024; 28(1): 14 doi: 10.14701/ahbps.23-078
8
Athena Davri, Effrosyni Birbas, Theofilos Kanavos, Georgios Ntritsos, Nikolaos Giannakeas, Alexandros T. Tzallas, Anna Batistatou. Deep Learning for Lung Cancer Diagnosis, Prognosis and Prediction Using Histological and Cytological Images: A Systematic ReviewCancers 2023; 15(15): 3981 doi: 10.3390/cancers15153981
9
Thifhelimbilu Emmanuel Luvhengo, Mmamoletla Kgoebane-Maseko, Boitumelo Precious Phakathi, Pumza Magangane, Nompumelelo Mtshali, Demetra Demetriou, Henry A. Adeola, Jyotsna Batra, Zodwa Dlamini. Society 5.0 and Next Generation Healthcare2023; : 51 doi: 10.1007/978-3-031-36461-7_3
10
Arian Mansur, Zain Saleem, Tarig Elhakim, Dania Daye. Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directionsFrontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1065402
11
K. G. Suma, Gurram Sunitha, Mohammad Gouse Galety. Machine Learning Algorithms Using Scikit and TensorFlow EnvironmentsAdvances in Systems Analysis, Software Engineering, and High Performance Computing 2023; : 276 doi: 10.4018/978-1-6684-8531-6.ch014
12
Jian Li, Zhi-Peng Li, Wen-Jie Ruan, Wei Wang. Colorectal cancer screening: The value of early detection and modern challengesWorld Journal of Gastroenterology 2024; 30(20): 2726-2730 doi: 10.3748/wjg.v30.i20.2726
13
Serdar Abut, Hayrettin Okut, K. James Kallail. Paradigm shift from Artificial Neural Networks (ANNs) to deep Convolutional Neural Networks (DCNNs) in the field of medical image processingExpert Systems with Applications 2024; 244: 122983 doi: 10.1016/j.eswa.2023.122983
14
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, Roberta Galdiero, Nicola Maggialetti, Lucrezia Silvestro, Mario De Bellis, Elena Di Girolamo, Giulia Grazzini, Giuditta Chiti, Maria Chiara Brunese, Andrea Belli, Renato Patrone, Raffaele Palaia, Antonio Avallone, Antonella Petrillo, Francesco Izzo. Risk Assessment and Pancreatic Cancer: Diagnostic Management and Artificial IntelligenceCancers 2023; 15(2): 351 doi: 10.3390/cancers15020351
15
Zhiyu Peng, Ruiqi Ma, Yihan Zhang, Mingxu Yan, Jie Lu, Qian Cheng, Jingjing Liao, Yunqiu Zhang, Jinghan Wang, Yue Zhao, Jiang Zhu, Bing Qin, Qin Jiang, Fei Shi, Jiang Qian, Xinjian Chen, Chen Zhao. Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional studyFrontiers in Artificial Intelligence 2023; 6 doi: 10.3389/frai.2023.1323924
16
Norio Nakata, Tsuyoshi Siina. Ensemble Learning of Multiple Models Using Deep Learning for Multiclass Classification of Ultrasound Images of Hepatic MassesBioengineering 2023; 10(1): 69 doi: 10.3390/bioengineering10010069
17
Aldo Rocca, Pasquale Avella, Andrea Scacchi, Maria Chiara Brunese, Micaela Cappuccio, Michele De Rosa, Alberto Bartoli, Germano Guerra, Fulvio Calise, Graziano Ceccarelli. Robotic versus open resection for colorectal liver metastases in a “referral centre Hub&Spoke learning program”. A multicenter propensity score matching analysis of perioperative outcomesHeliyon 2024; 10(3): e24800 doi: 10.1016/j.heliyon.2024.e24800
18
Pasquale Avella, Micaela Cappuccio, Teresa Cappuccio, Marco Rotondo, Daniela Fumarulo, Germano Guerra, Guido Sciaudone, Antonella Santone, Francesco Cammilleri, Paolo Bianco, Maria Chiara Brunese. Artificial Intelligence to Early Predict Liver Metastases in Patients with Colorectal Cancer: Current Status and Future ProspectivesLife 2023; 13(10): 2027 doi: 10.3390/life13102027
19
Zhe Zhang, Xiawei Wei. Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapySeminars in Cancer Biology 2023; 90: 57 doi: 10.1016/j.semcancer.2023.02.005
20
Lorenzo Bernardi, Raffaello Roesel, Davit L. Aghayan, Pietro E. Majno-Hurst, Sara De Dosso, Alessandra Cristaudi. Preoperative chemotherapy in upfront resectable colorectal liver metastases: New elements for an old dilemma?Cancer Treatment Reviews 2024; 124: 102696 doi: 10.1016/j.ctrv.2024.102696
21
Iakovos Amygdalos, Gustav Müller‐Franzes, Jan Bednarsch, Zoltan Czigany, Tom Florian Ulmer, Philipp Bruners, Christiane Kuhl, Ulf Peter Neumann, Daniel Truhn, Sven Arke Lang. Novel machine learning algorithm can identify patients at risk of poor overall survival following curative resection for colorectal liver metastasesJournal of Hepato-Biliary-Pancreatic Sciences 2023; 30(5): 602 doi: 10.1002/jhbp.1249
22
Kevin J. McDonnell. Leveraging the Academic Artificial Intelligence Silecosystem to Advance the Community Oncology EnterpriseJournal of Clinical Medicine 2023; 12(14): 4830 doi: 10.3390/jcm12144830
23
Qiang Wang, Henrik Nilsson, Keyang Xu, Xufu Wei, Danyu Chen, Dongqin Zhao, Xiaojun Hu, Anrong Wang, Guojie Bai. Exploring tumor heterogeneity in colorectal liver metastases by imaging: Unsupervised machine learning of preoperative CT radiomics features for prognostic stratificationEuropean Journal of Radiology 2024; 175: 111459 doi: 10.1016/j.ejrad.2024.111459
24
Rafael J. Sala, John Ery, David Cuesta-Peredo, Vicente Muedra, Vicent Rodilla. Complete Blood Count Alterations Prior to the Diagnosis of Colorectal Cancer May Help in the Detection of Synchronous Liver MetastasesJournal of Clinical Medicine 2023; 12(20): 6540 doi: 10.3390/jcm12206540
25
John Kang, Kyle Lafata, Ellen Kim, Christopher Yao, Frank Lin, Tim Rattay, Harsha Nori, Evangelia Katsoulakis, Christoph Ilsuk Lee. Artificial intelligence across oncology specialties: current applications and emerging toolsBMJ Oncology 2024; 3(1): e000134 doi: 10.1136/bmjonc-2023-000134
26
Ayrton Bangolo, Nikita Wadhwani, Vignesh K Nagesh, Shraboni Dey, Hadrian Hoang-Vu Tran, Izage Kianifar Aguilar, Auda Auda, Aman Sidiqui, Aiswarya Menon, Deborah Daoud, James Liu, Sai Priyanka Pulipaka, Blessy George, Flor Furman, Nareeman Khan, Adewale Plumptre, Imranjot Sekhon, Abraham Lo, Simcha Weissman. Impact of artificial intelligence in the management of esophageal, gastric and colorectal malignanciesArtificial Intelligence in Gastrointestinal Endoscopy 2024; 5(2): 90704 doi: 10.37126/aige.v5.i2.90704
27
Stamatios Kokkinakis, Ioannis A. Ziogas, Jose D. Llaque Salazar, Dimitrios P. Moris, Georgios Tsoulfas. Clinical Prediction Models for Prognosis of Colorectal Liver Metastases: A Comprehensive Review of Regression-Based and Machine Learning ModelsCancers 2024; 16(9): 1645 doi: 10.3390/cancers16091645
28
Long Wu, Huan Wu, Chen Li, Baofang Zhang, Xiaoyun Li, Yunhuan Zhen, Haiyang Li. Radiomics in colorectal canceriRADIOLOGY 2023; 1(3): 236 doi: 10.1002/ird3.29
29
Ozan Can Tatar, Mustafa Alper Akay, Semih Metin. DraiNet: AI-driven decision support in pneumothorax and pleural effusion managementPediatric Surgery International 2023; 40(1) doi: 10.1007/s00383-023-05609-5
30
Arzu Shahveranova, Huseyin Tugsan Balli, Kairgeldy Aikimbaev, Ferhat Can Piskin, Sinan Sozutok, Sevinc Puren Yucel. Prediction of Local Tumor Progression After Microwave Ablation in Colorectal Carcinoma Liver Metastases Patients by MRI Radiomics and Clinical Characteristics-Based Combined Model: Preliminary ResultsCardioVascular and Interventional Radiology 2023; 46(6): 713 doi: 10.1007/s00270-023-03454-6
31
Xue Li, Hao Yang, Ping Zheng, Danmin Lin, Zhijun Zhang, Miaomiao Kang, Dong Wang, Ben Zhong Tang. Aggregation-induced emission materials: a platform for diverse energy transformation and applicationsJournal of Materials Chemistry A 2023; 11(10): 4850 doi: 10.1039/D2TA09630G
32
Jun Xie, Dandan Wang, Arpit Bhardwaj. Street Landscape Planning and Design Guided by Artificial Intelligence Interactive ExperienceComputational Intelligence and Neuroscience 2022; 2022: 1 doi: 10.1155/2022/3146637
33
P.M. Cárcamo Ibarra, U.A. López González, A. Esteban Hurtado, N. Orrego Castro, S. Diez Domingo. Exploring the opinion of Spanish medical specialists about the usefulness of radiomics in oncologyRevista Española de Medicina Nuclear e Imagen Molecular (English Edition) 2023; 42(4): 231 doi: 10.1016/j.remnie.2023.02.008
34
Cesare Maino, Federica Vernuccio, Roberto Cannella, Francesco Cortese, Paolo Niccolò Franco, Clara Gaetani, Valentina Giannini, Riccardo Inchingolo, Davide Ippolito, Arianna Defeudis, Giulia Pilato, Davide Tore, Riccardo Faletti, Marco Gatti. Liver metastases: The role of magnetic resonance imagingWorld Journal of Gastroenterology 2023; 29(36): 5180-5197 doi: 10.3748/wjg.v29.i36.5180
35
Claudia Zaharia, Torhild Veen, Dordi Lea, Arezo Kanani, Marina Alexeeva, Kjetil Søreide. Histopathological Growth Pattern in Colorectal Liver Metastasis and The Tumor Immune MicroenvironmentCancers 2022; 15(1): 181 doi: 10.3390/cancers15010181
36
P.M. Cárcamo Ibarra, U.A. López González, A. Esteban Hurtado, N. Orrego Castro, S. Diez Domingo. Explorando la opinión de los especialistas españoles acerca de la utilidad de la radiómica en el área oncológicaRevista Española de Medicina Nuclear e Imagen Molecular 2023; 42(4): 231 doi: 10.1016/j.remn.2023.02.001
37
Suhit Naseri, Samarth Shukla, KM Hiwale, Miheer M Jagtap, Pravin Gadkari, Kartik Gupta, Mamta Deshmukh, Shakti Sagar. From Pixels to Prognosis: A Narrative Review on Artificial Intelligence’s Pioneering Role in Colorectal Carcinoma HistopathologyCureus 2024;  doi: 10.7759/cureus.59171
38
Konstantinos Panagiotopoulos, Aigli Korfiati, Konstantinos Theofilatos, Peter Hurwitz, Marco Agostino Deriu, Seferina Mavroudi, Jonathan Wren. MEvA-X: a hybrid multiobjective evolutionary tool using an XGBoost classifier for biomarkers discovery on biomedical datasetsBioinformatics 2023; 39(7) doi: 10.1093/bioinformatics/btad384
39
Jiaqing Yang, Jing Huang, Deqian Han, Xuelei Ma. Artificial Intelligence Applications in the Treatment of Colorectal Cancer: A Narrative ReviewClinical Medicine Insights: Oncology 2024; 18 doi: 10.1177/11795549231220320
40
Emily Latacz, Diederik Höppener, Ali Bohlok, Sophia Leduc, Sébastien Tabariès, Carlos Fernández Moro, Claire Lugassy, Hanna Nyström, Béla Bozóky, Giuseppe Floris, Natalie Geyer, Pnina Brodt, Laura Llado, Laura Van Mileghem, Maxim De Schepper, Ali W. Majeed, Anthoula Lazaris, Piet Dirix, Qianni Zhang, Stéphanie K. Petrillo, Sophie Vankerckhove, Ines Joye, Yannick Meyer, Alexander Gregorieff, Nuria Ruiz Roig, Fernando Vidal-Vanaclocha, Larsimont Denis, Rui Caetano Oliveira, Peter Metrakos, Dirk J. Grünhagen, Iris D. Nagtegaal, David G. Mollevi, William R. Jarnagin, Michael I D’Angelica, Andrew R. Reynolds, Michail Doukas, Christine Desmedt, Luc Dirix, Vincent Donckier, Peter M. Siegel, Raymond Barnhill, Marco Gerling, Cornelis Verhoef, Peter B. Vermeulen. Histopathological growth patterns of liver metastasis: updated consensus guidelines for pattern scoring, perspectives and recent mechanistic insightsBritish Journal of Cancer 2022; 127(6): 988 doi: 10.1038/s41416-022-01859-7
41
Jirui Guo, Wuteng Cao, Bairun Nie, Qiyuan Qin. Unsupervised Learning Composite Network to Reduce Training Cost of Deep Learning Model for Colorectal Cancer DiagnosisIEEE Journal of Translational Engineering in Health and Medicine 2023; 11: 54 doi: 10.1109/JTEHM.2022.3224021
42
Maria Conticchio, Nicola Maggialetti, Marco Rescigno, Maria Chiara Brunese, Roberto Vaschetti, Riccardo Inchingolo, Roberto Calbi, Valentina Ferraro, Michele Tedeschi, Maria Rita Fantozzi, Pasquale Avella, Angela Calabrese, Riccardo Memeo, Arnaldo Scardapane. Hepatocellular Carcinoma with Bile Duct Tumor Thrombus: A Case Report and Literature Review of 890 Patients Affected by Uncommon Primary Liver Tumor PresentationJournal of Clinical Medicine 2023; 12(2): 423 doi: 10.3390/jcm12020423