| For: | Shi YC, Li J, Li SJ, Li ZP, Zhang HJ, Wu ZY, Wu ZY. Flap failure prediction in microvascular tissue reconstruction using machine learning algorithms. World J Clin Cases 2022; 10(12): 3729-3738 [PMID: 35647170 DOI: 10.12998/wjcc.v10.i12.3729] |
|---|---|
| URL: | https://www.wjgnet.com/2307-8960/full/v10/i12/3729.htm |
| Number | Citing Articles |
| 1 |
Jiebin Yang, Xinya Qin, Lili Hou, Yamei Liu. Risk prediction models for complications after flap repair surgery: a systematic review and meta-analysis. BMC Surgery 2025; 25(1) doi: 10.1186/s12893-025-03072-8
|
| 2 |
Ji-Jin Yang. Prediction of vascular complications in free flap reconstruction with machine learning. American Journal of Translational Research 2024; 16(3) doi: 10.62347/ZXJV8062
|
| 3 |
Sara Bassani, Albino Eccher, Gabriele Molteni .
Harnessing the Power of Artificial Intelligence: Revolutionizing Free Flaps Monitoring in Head and Neck Tumor Treatment
. Critical Reviews™ in Oncogenesis 2023; 28(3) doi: 10.1615/CritRevOncog.2023049158
|
| 4 |
Yizhuo Shen, Andrew J. Malek, Renee Gao, Justin M. Broyles. Artificial intelligence in breast reconstruction. Artificial Intelligence Surgery 2025; 5(1) doi: 10.20517/ais.2024.71
|
| 5 |
Ashton Rosenbloom, Thomas Gasbeck, Lana Mamoun, Nikhil Shah, Asha Nanda, Gordon Lee. Predicting Surgical Outcomes in Breast Reconstruction With Machine Learning. Annals of Plastic Surgery 2026; 96(4S) doi: 10.1097/SAP.0000000000004667
|
| 6 |
Yurong He, Jugao Fang, Lizhen Hou, Zufei Li, Shizhi He, Yanming Zhao, Qijia Li, Rongjia Li, Xiaoyu Shi, Jiayi Yang, Qi Zhong. Identifying Venous Insufficiency in Head and Neck Reconstruction Flaps Using Machine Learning and Deep Learning Methods. Head & Neck 2026; 48(8) doi: 10.1002/hed.70235
|
| 7 |
Karla C. Maita, Francisco R. Avila, Ricardo A. Torres-Guzman, John P. Garcia, Gioacchino D. De Sario Velasquez, Sahar Borna, Sally A. Brown, Clifton R. Haider, Olivia S. Ho, Antonio Jorge Forte. The usefulness of artificial intelligence in breast reconstruction: a systematic review. Breast Cancer 2024; 31(4) doi: 10.1007/s12282-024-01582-6
|
| 8 |
Chunyan Li, Wei Liu, Zhenglin Zhu, Xing Wang, Yanbin Zhang. Quantization of extraoral free flap monitoring for venous congestion with deep learning integrated iOS applications on smartphones. International Journal of Surgery 2023; 109(11) doi: 10.1097/JS9.0000000000000626
|
| 9 |
Armin Catic, Georgios Karamitros, William C. Lineaweaver, Gregory A. Lamaris, Pratibh Pratibh, Paul N. Manson, Richard Redett, Sebastiano Barbieri, Louisa Jorm. The FACT-Score: Development and Temporal Validation of a Clinical Risk Stratification Tool for 30-Day Complications After Operative Facial Fracture Repair. Journal of Craniofacial Surgery 2026; doi: 10.1097/SCS.0000000000013173
|
| 10 |
Luis Arturo Molina Laguna, Alexandra Porras-Ramírez, Giovanni Montealegre, Iván Rodríguez-Mantilla, Andrés Camilo Herrera, Diego Felipe Camargo, Camilo Andrés Mejía Ortiz, Estefanía Sandoval Portilla, Carlos Torres, David Fernando Duque Ropero. Preoperative artificial intelligence-based risk model for surgical reintervention after microsurgical free flap reconstruction. Journal of Plastic, Reconstructive & Aesthetic Surgery 2026; 120 doi: 10.1016/j.bjps.2026.07.033
|
| 11 |
Abdulkreem Al-Juhani, Faisal Alzahrani, Omer Altamımı, Rodan Desoky , Lajeen Alnowaisser, Ibrahim Altamımı, Abdullah Esmail. Machine Learning Applications Beyond Outcome Prediction in Plastic and Reconstructive Surgery: A Systematic Review of Diagnostic, Intraoperative, and Workflow Optimization Models. Cureus 2025; doi: 10.7759/cureus.94825
|
| 12 |
Olachi O. Oleru, Kim‐Anh‐Nhi Nguyen, Peter Taub, Arash Kia. Machine Learning‐Based Flap Takeback Prediction Modeling: Theory for a Real‐Time, Patient‐Specific Postoperative Flap Monitoring and Alert System. Microsurgery 2025; 45(6) doi: 10.1002/micr.70100
|
| 13 |
Ziad Albash, Wajih Kashkash, Anton Sergeevich Sharapo, Zaderenko Igor Alexandrovich, Ushenko Ilya Aleksandrovich, Saltykov Egor Michaylovich, Hassan Alsayed Hachem. Salvage surgery for free flap failure in the maxillofacial region: a comprehensive review of principles and outcomes. Annals of Medicine & Surgery 2026; 88(8) doi: 10.1097/MS9.0000000000005371
|
| 14 |
Nikoletta Vargas, Daria Hamrah, Marc M. Serra. Artificial Intelligence Technologies and Mobile Applications in Cosmetic Surgery: Trends and Recommendations. The American Journal of Cosmetic Surgery 2026; 43(2) doi: 10.1177/07488068251320224
|
| 15 |
José Eduardo Telich-Tarriba, Juan Marcos Meraz-Soto, Valentina Prieto-Vargas. Aplicaciones de la inteligencia artificial en la cirugía plástica y reconstructiva: una revisión exhaustiva de la literatura. Cirugía Plástica 2023; 33(4) doi: 10.35366/113881
|
| 16 |
Ali Imad Alabdalhussein, Mohammed Hasan Al-Khafaji, Peter Conboy, Hitesh Singhavi, Fahid Anwar, Mohammed Elkrim, Miss Hazel Busby-Earle, Oladejo Olaleye, Nakul Patel, Sundar Raj Lakshmiah, Phillip Ameerally, Manish Devendra Mair. Evaluating the accuracy of machine learning in predicting postoperative flap complications: A meta-analysis. Journal of Plastic, Reconstructive & Aesthetic Surgery 2025; 111 doi: 10.1016/j.bjps.2025.09.029
|
| 17 |
印梓 黄. Advances in Risk Prediction Models for Vascular Crisis after Free Flap Transplantation. Advances in Clinical Medicine 2026; 16(03) doi: 10.12677/acm.2026.163822
|
| 18 |
Simon A. Savage, Ishith Seth, Zachary G. Angus, Warren M. Rozen. Advancements in microsurgery: A comprehensive systematic review of artificial intelligence applications. Journal of Plastic, Reconstructive & Aesthetic Surgery 2025; 101 doi: 10.1016/j.bjps.2024.11.023
|
| 19 |
Ionuț Ștefan Ciule, Ariana-Anamaria Cordos, Răzvan Alexandru Ciocan, Andra Ciocan, Maximilian Vlad Muntean, Claudia Diana Gherman. Evaluating Scopus AI Versus Traditional Searches for Literature Review About Prepectoral Breast Reconstruction: An Exploratory Study. Medical Sciences 2025; 13(4) doi: 10.3390/medsci13040211
|
| 20 |
Jonlin Chen, Ariel Gabay, Abbas M. Hassan, Francis D. Graziano, Lillian A. Boe, Arielle N. Roberts, Ronnie L. Shammas, Carrie S. Stern, Robert J. Allen, Babak J. Mehrara, Jonas A. Nelson. AI Risk Prediction Tools for Autologous Breast Reconstruction. Journal of Surgical Oncology 2026; doi: 10.1002/jso.70318
|
| 21 |
Ayush K. Kapila, Letizia Georgiou, Moustapha Hamdi. Decoding the Impact of AI on Microsurgery: Systematic Review and Classification of Six Subdomains for Future Development. Plastic and Reconstructive Surgery - Global Open 2024; 12(11) doi: 10.1097/GOX.0000000000006323
|
| 22 |
Jonlin Chen, Ariel Gabay, Minji Kim, Uchechukwu Amakiri, Lillian A. Boe, Carrie Stern, Babak J. Mehrara, Chris Gibbons, Jonas A. Nelson. Artificial Intelligence Risk Prediction Tools for Alloplastic Breast Reconstruction. Plastic & Reconstructive Surgery 2025; 156(4) doi: 10.1097/PRS.0000000000012124
|
| 23 |
Gabriele Monarchi, Umberto Committeri, Massimiliano Gilli, Giovanni Salzano, Stefania Troise, Giuseppe Consorti, Roberto Benedetti, Paolo Balercia, Antonio Tullio. Evolution and Optimization of the HALP Formula for Predicting Free Flap Failure: A Progressive Analysis of Predictive Accuracy. Surgeries 2025; 6(2) doi: 10.3390/surgeries6020044
|
| 24 |
Anne Klausing, Kristina Waschk, Frederick Far, Markus Martini, Franz-Josef Kramer. The Tumor Risk Score (TRS) – next level risk prediction in head and neck tumor surgery. Oral and Maxillofacial Surgery 2024; 28(4) doi: 10.1007/s10006-024-01281-8
|