AIMC Topic: Hepatectomy
Clear Filters Showing 31 to 40 of 167 articles
Deep Learning Classification and Quantification of Pejorative and Nonpejorative Architectures in Resected Hepatocellular Carcinoma from Digital Histopathologic Images.
The American journal of pathology
Jun 13, 2024
Liver resection is one of the best treatments for small hepatocellular carcinoma (HCC), but post-resection recurrence is frequent. Biotherapies have emerged as an efficient adjuvant treatment, making the identification of patients at high risk of rec...
Deep learning for 3D biliary anatomy for living liver donor hepatectomy planning.
International journal of surgery (London, England)
Jun 1, 2024
Personalized prediction of postoperative complication and survival among Colorectal Liver Metastases Patients Receiving Simultaneous Resection using machine learning approaches: A multi-center study.
Cancer letters
May 18, 2024
BACKGROUND: To predict clinical important outcomes for colorectal liver metastases (CRLM) patients receiving colorectal resection with simultaneous liver resection by integrating demographic, clinical, laboratory, and genetic data.
Impact of an artificial intelligence based model to predict non-transplantable recurrence among patients with hepatocellular carcinoma.
HPB : the official journal of the International Hepato Pancreato Biliary Association
May 16, 2024
OBJECTIVE: We sought to develop Artificial Intelligence (AI) based models to predict non-transplantable recurrence (NTR) of hepatocellular carcinoma (HCC) following hepatic resection (HR).
Deep Learning Model for Predicting Proliferative Hepatocellular Carcinoma Using Dynamic Contrast-Enhanced MRI: Implications for Early Recurrence Prediction Following Radical Resection.
Academic radiology
May 15, 2024
RATIONALE AND OBJECTIVES: The proliferative nature of hepatocellular carcinoma (HCC) is closely related to early recurrence following radical resection. This study develops and validates a deep learning (DL) prediction model to distinguish between pr...
An explainable machine learning model to predict early and late acute kidney injury after major hepatectomy.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Apr 23, 2024
BACKGROUND: Risk assessment models for acute kidney injury (AKI) after major hepatectomy that differentiate between early and late AKI are lacking. This retrospective study aimed to create a model predicting AKI through machine learning and identify ...
Microfracture-coagulation for the real robotic liver parenchymal transection.
Journal of robotic surgery
Feb 29, 2024
The use of the robotic approach in liver surgery is exponentially increasing. Although technically the robot introduces several innovative features, the instruments linked with the traditional laparoscopic approach for the liver parenchymal transecti...
Experts vs. machine - comparison of machine learning to expert-informed prediction of outcome after major liver surgery.
HPB : the official journal of the International Hepato Pancreato Biliary Association
Feb 13, 2024
BACKGROUND: Machine learning (ML) has been successfully implemented for classification tasks (e.g., cancer diagnosis). ML performance for more challenging predictions is largely unexplored. This study's objective was to compare machine learning vs. e...
[International multicenter study: robotic vs. laparoscopic major liver resection].
Chirurgie (Heidelberg, Germany)
Feb 8, 2024
Explainable artificial intelligence prediction-based model in laparoscopic liver surgery for segments 7 and 8: an international multicenter study.
Surgical endoscopy
Feb 5, 2024
BACKGROUND: 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 an...
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