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For: Hayashi H, Uemura N, Matsumura K, Zhao L, Sato H, Shiraishi Y, Yamashita YI, Baba H. Recent advances in artificial intelligence for pancreatic ductal adenocarcinoma. World J Gastroenterol 2021; 27(43): 7480-7496 [PMID: 34887644 DOI: 10.3748/wjg.v27.i43.7480]
URL: https://www.wjgnet.com/1948-5204/full/v27/i43/7480.htm
Number Citing Articles
1
Animesh Acharjee, Daniella Okyere, Dipanwita Nath, Shruti Nagar, Georgios V. Gkoutos. Network dynamics and therapeutic aspects of mRNA and protein markers with the recurrence sites of pancreatic cancerHeliyon 2024; 10(10): e31437 doi: 10.1016/j.heliyon.2024.e31437
2
H Shafeeq AHMED. BEYOND TRADITIONAL TOOLS: EXPLORING CONVOLUTIONAL NEURAL NETWORKS AS INNOVATIVE PROGNOSTIC MODELS IN PANCREATIC DUCTAL ADENOCARCINOMAArquivos de Gastroenterologia 2024; 61 doi: 10.1590/s0004-2803.24612023-117
3
Linxia Wu, Chunyuan Cen, Xiaofei Yue, Lei Chen, Hongying Wu, Ming Yang, Yuting Lu, Ling Ma, Xin Li, Heshui Wu, Chuansheng Zheng, Ping Han. A clinical-radiomics nomogram based on dual-layer spectral detector CT to predict cancer stage in pancreatic ductal adenocarcinomaCancer Imaging 2024; 24(1) doi: 10.1186/s40644-024-00700-z
4
Bahrudeen Shahul Hameed, Uma Maheswari Krishnan. Artificial Intelligence-Driven Diagnosis of Pancreatic CancerCancers 2022; 14(21): 5382 doi: 10.3390/cancers14215382
5
Cristian Anghel, Mugur Cristian Grasu, Denisa Andreea Anghel, Gina-Ionela Rusu-Munteanu, Radu Lucian Dumitru, Ioana Gabriela Lupescu. Pancreatic Adenocarcinoma: Imaging Modalities and the Role of Artificial Intelligence in Analyzing CT and MRI ImagesDiagnostics 2024; 14(4): 438 doi: 10.3390/diagnostics14040438
6
Hua Yin, Feixiong Zhang, Xiaoli Yang, Xiangkun Meng, Yu Miao, Muhammad Saad Noor Hussain, Li Yang, Zhaoshen Li. Research trends of artificial intelligence in pancreatic cancer: a bibliometric analysisFrontiers in Oncology 2022; 12 doi: 10.3389/fonc.2022.973999
7
Valeria Tonini, Manuel Zanni. Early diagnosis of pancreatic cancer: What strategies to avoid a foretold catastropheWorld Journal of Gastroenterology 2022; 28(31): 4235-4248 doi: 10.3748/wjg.v28.i31.4235
8
Ashwin Mukund, Muhammad Ali Afridi, Aleksandra Karolak, Margaret A. Park, Jennifer B. Permuth, Ghulam Rasool. Pancreatic Ductal Adenocarcinoma (PDAC): A Review of Recent Advancements Enabled by Artificial IntelligenceCancers 2024; 16(12): 2240 doi: 10.3390/cancers16122240
9
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
10
Anastasios Gkountakos, Filippo M. Martelli, Nicola Silvestris, Michele Bevere, Mario De Bellis, Laura Alaimo, Elena Sapuppo, Francesca Masetto, Aldo Mombello, Michele Simbolo, Elena Bariani, Michele Milella, Matteo Fassan, Aldo Scarpa, Claudio Luchini. Extrahepatic Distal Cholangiocarcinoma vs. Pancreatic Ductal Adenocarcinoma: Histology and Molecular Profiling for Differential Diagnosis and TreatmentCancers 2023; 15(5): 1454 doi: 10.3390/cancers15051454
11
Belén Toledo, Chiara Deiana, Fabio Scianò, Giovanni Brandi, Juan Antonio Marchal, Macarena Perán, Elisa Giovannetti. Treatment resistance in pancreatic and biliary tract cancer: molecular and clinical pharmacology perspectivesExpert Review of Clinical Pharmacology 2024; 17(4): 323 doi: 10.1080/17512433.2024.2319340
12
Fatemeh Rousta, Ali Esteki, Ahmad shalbaf, Amir Sadeghi, Pardis Ketabi Moghadam, Ardalan Voshagh. Application of artificial intelligence in pancreas endoscopic ultrasound imaging- A systematic reviewComputer Methods and Programs in Biomedicine 2024; 250: 108205 doi: 10.1016/j.cmpb.2024.108205
13
Tanakamol Mahawan, Teifion Luckett, Ainhoa Mielgo Iza, Natapol Pornputtapong, Eva Caamaño Gutiérrez. Robust and consistent biomarker candidates identification by a machine learning approach applied to pancreatic ductal adenocarcinoma metastasisBMC Medical Informatics and Decision Making 2024; 24(S4) doi: 10.1186/s12911-024-02578-0
14
Thijs J. Schouten, Anne Claire Henry, Francina J. Smits, Marc G. Besselink, Bert A. Bonsing, Koop Bosscha, Olivier R. Busch, Ronald M. van Dam, Casper H. van Eijck, Sebastiaan Festen, Bas Groot Koerkamp, Erwin van der Harst, Ignace H.J.T. de Hingh, Geert Kazemier, Mike S.L. Liem, Vincent E. de Meijer, Gijs A. Patijn, Daphne Roos, Jennifer M.J. Schreinemakers, Martijn W.J. Stommel, Fennie Wit, Lois A. Daamen, Izaak Q. Molenaar, Hjalmar C. van Santvoort. Risk Models for Developing Pancreatic Fistula After PancreatoduodenectomyAnnals of Surgery 2023; 278(6): 1001 doi: 10.1097/SLA.0000000000005824
15
Luis Marti-Bonmati, Leonor Cerdá-Alberich, Alexandre Pérez-Girbés, Roberto Díaz Beveridge, Eva Montalvá Orón, Judith Pérez Rojas, Angel Alberich-Bayarri. Pancreatic cancer, radiomics and artificial intelligenceThe British Journal of Radiology 2022; 95(1137) doi: 10.1259/bjr.20220072
16
Alexandra Corina Faur, Daniela Cornelia Lazar, Laura Andreea Ghenciu. Artificial intelligence as a noninvasive tool for pancreatic cancer prediction and diagnosisWorld Journal of Gastroenterology 2023; 29(12): 1811-1823 doi: 10.3748/wjg.v29.i12.1811
17
PC Sijithra, N. Santhi, N. Ramasamy. A review study on early detection of pancreatic ductal adenocarcinoma using artificial intelligence assisted diagnostic methodsEuropean Journal of Radiology 2023; 166: 110972 doi: 10.1016/j.ejrad.2023.110972