Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8 : an international multicenter study
Lopez-Lopez, Victor (Hospital Clínico Universitario Virgen de la Arrixaca (El Palmar, Múrcia))
Morise, Zeniche (Fujita Health University School of Medicine Okazaki Medical Center)
Albaladejo-González, Mariano (Universidad de Murcia)
Gómez Gavara, Concepción (Vall d'Hebron Institut de Recerca (VHIR))
Goh, Brian K. P. (Duke-National University of Singapore Medical School)
Koh, Ye Xin (Duke-National University of Singapore Medical School)
Jasper Paul, Sijberden (Fondazione Poliambulanza-Istituto Ospedaliero)
Hilal, Mohammed Abu (University Hospital Southampton NHS Foundation Trust (Regne Unit))
Mishima, Kohei (Ageo Central General Hospital)
Pirola Krürger, Jaime Arthur (Universidade de São Paulo)
Herman, Paulo (Universidade de São Paulo)
Cerezuela, Alvaro (Hospital Clínico Universitario Virgen de la Arrixaca (El Palmar, Múrcia))
Brusadin, Roberto (Hospital Clínico Universitario Virgen de la Arrixaca (El Palmar, Múrcia))
Kaizu, Takashi (Kitasato University School of Medicine)
Lujan, Juan (Hospital Clínico Universitario Virgen de la Arrixaca (El Palmar, Múrcia))
Rotellar-Sastre, Fernando (Complejo Hospitalario de Navarra)
Monden, Kazuteru (Fukuyama City Hospital)
Dalmau, Mar (Vall d'Hebron Institut de Recerca (VHIR))
Gotohda, Naoto (National Cancer Center Hospital East, Kashiwa)
Kudo, Masashi (National Cancer Center Hospital East, Kashiwa)
Kanazawa, Akishige (Osaka City General Hospital)
Kato, Yutaro (Fujita Health University)
Nitta, Hiroyuki (Iwate Medical University)
Amano, Satoshi (Iwate Medical University)
Valle, Raffaele Dalla (University Hospital of Parma (Parma, Itàlia))
Giuffrida, Mario (University Hospital of Parma (Parma, Itàlia))
Ueno, Masaki (Wakayama Medical University)
Otsuka, Yuichiro (Toho University)
Asano, Daisuke (Tokyo Medical and Dental University)
Tanabe, Minoru (Tokyo Medical and Dental University)
Itano, Osamu (International University of Health and Welfare)
Minagawa, Takuya (International University of Health and Welfare)
Eshmuminov, Dilmurodjon (University of Zurich)
Herrero, Irene (Hospital Universitario de Getafe (Madrid))
Ramírez, Pablo (Hospital Universitario Virgen de la Arrixaca (Múrcia))
Ruipérez-Valiente, José A. (Universidad de Murcia)
Robles-Campos, Ricardo (Hospital Universitario Virgen de la Arrixaca (Múrcia))
Wakabayashi, Go (Ageo Central General Hospital)
Universitat Autònoma de Barcelona. Departament de Cirurgia

Data:	2024
Resum:	Artificial intelligence (AI) is becoming more useful as a decision-making and outcomes predictor tool. We have developed AI models to predict surgical complexity and the postoperative course in laparoscopic liver surgery for segments 7 and 8. We included patients with lesions located in segments 7 and 8 operated by minimally invasive liver surgery from an international multi-institutional database. We have employed AI models to predict surgical complexity and postoperative outcomes. Furthermore, we have applied SHapley Additive exPlanations (SHAP) to make the AI models interpretable. Finally, we analyzed the surgeries not converted to open versus those converted to open. Overall, 585 patients and 22 variables were included. Multi-layer Perceptron (MLP) showed the highest performance for predicting surgery complexity and Random Forest (RF) for predicting postoperative outcomes. SHAP detected that MLP and RF gave the highest relevance to the variables "resection type" and "largest tumor size" for predicting surgery complexity and postoperative outcomes. In addition, we explored between surgeries converted to open and non-converted, finding statistically significant differences in the variables "tumor location," "blood loss," "complications," and "operation time. " We have observed how the application of SHAP allows us to understand the predictions of AI models in surgical complexity and the postoperative outcomes of laparoscopic liver surgery in segments 7 and 8.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Artificial intelligence ; Making decision ; Minimally invasive surgery ; Liver resection
Publicat a:	Surgical endoscopy and other interventional techniques, Vol. 38, Núm. 5 (February 2024) , p. 2411-2422, ISSN 1432-2218
Obra relacionada:	Lopez-Lopez, Victor; Morise, Zeniche; Albaladejo-González, Mariano; [et al.]. «Correction: Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter stud». Surgical endoscopy and other interventional techniques, Vol. 38 (March 2024) https://doi.org/10.1007/s00464-024-10787-x

Correcció de l'article: https://ddd.uab.cat/record/303162
DOI: 10.1007/s00464-024-10681-6
PMID: 38315197

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