AIMC Topic: Hepatectomy

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AI-assisted intraoperative navigation for safe right liver mobilization in pure laparoscopic donor hepatectomy: an experimental multi-institutional validation study.

Scientific reports Jul 31, 2025
Minimally invasive liver surgery (MILS) offers significant benefits but faces limited adoption due to its steep learning curve. This study explores the potential of artificial intelligence (AI) in assisting the performance of major MILS by providing ...
Laparoscopy Surgery, Computer-Assisted Liver Transplantation Hepatectomy Humans Artificial Intelligence Female Male Middle Aged Deep Learning Liver Living Donors
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Evaluating the efficacy of using large language models in preoperative prediction of microvascular invasion in HCC: a multicenter study.

Scientific reports Jul 29, 2025
Primary liver cancer is the sixth most commonly diagnosed cancer globally and the third leading cause of cancer-related deaths. Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer, and microvascular invasion (MVI) is a sign...
Prognosis Retrospective Studies Female Aged Adult Humans Machine Learning Carcinoma, Hepatocellular Neoplasm Invasiveness Hepatectomy Microvessels Male Preoperative Period Middle Aged Large Language Models ROC Curve Liver Neoplasms
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Radiomics analysis based on dynamic contrast-enhanced MRI for predicting early recurrence after hepatectomy in hepatocellular carcinoma patients.

Scientific reports Jul 1, 2025
This study aimed to develop a machine learning model based on Magnetic Resonance Imaging (MRI) radiomics for predicting early recurrence after curative surgery in patients with hepatocellular carcinoma (HCC).A retrospective analysis was conducted on ...
Neoplasm Recurrence, Local Hepatectomy Adult Radiomics Male Middle Aged ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Contrast Media Magnetic Resonance Imaging Humans Machine Learning Retrospective Studies Female Aged
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Interpretable machine learning model for predicting post-hepatectomy liver failure in hepatocellular carcinoma.

Scientific reports May 3, 2025
Post-hepatectomy liver failure (PHLF) is a severe complication following liver surgery. We aimed to develop a novel, interpretable machine learning (ML) model to predict PHLF. We enrolled 312 hepatocellular carcinoma (HCC) patients who underwent hepa...
ROC Curve Adult Liver Neoplasms Humans Machine Learning Male Carcinoma, Hepatocellular Algorithms Middle Aged Hepatectomy Prospective Studies Postoperative Complications Liver Failure Female Aged
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Multimodal treatment of colorectal liver metastases: Where are we? Current strategies and future perspectives.

Bioscience trends Mar 18, 2025
Despite the continued high prevalence of colorectal cancer in the Western world, recent years have witnessed a decline in its mortality rate, largely attributable to the sustained advancement of multimodal treatment modalities for metastatic patients...
Colorectal Neoplasms Liver Neoplasms Lung Neoplasms Immunotherapy Liver Transplantation Humans Artificial Intelligence Combined Modality Therapy Hepatectomy
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Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model.

European journal of gastroenterology & hepatology Mar 5, 2025
BACKGROUND AND AIMS: Posthepatectomy liver failure (PHLF) remains a severe complication after hepatectomy for hepatocellular carcinoma (HCC) and accurate preoperative evaluation and predictive measures are urgently needed. We investigated the impact ...
Predictive Value of Tests Hepatectomy Nutritional Status Liver Failure Risk Factors Aged Male Middle Aged Nutrition Assessment Risk Assessment Postoperative Complications Liver Neoplasms Carcinoma, Hepatocellular Humans Machine Learning Algorithms Female
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Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could i...
Treatment Outcome Predictive Value of Tests Minimally Invasive Surgical Procedures Tumor Burden Hepatectomy Retrospective Studies Middle Aged Female Risk Assessment Risk Factors Humans Liver Neoplasms Aged Machine Learning Carcinoma, Hepatocellular Male Decision Support Techniques Databases, Factual
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Indication model for laparoscopic repeat liver resection in the era of artificial intelligence: machine learning prediction of surgical indication.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Laparoscopic repeat liver resection (LRLR) is still a challenging technique and requires a careful selection of indications. However, the current difficulty scoring system is not suitable for selecting indications. The purpose of this stu...
Humans Machine Learning Retrospective Studies Female Risk Factors Conversion to Open Surgery Liver Neoplasms Aged Laparoscopy Male Hepatectomy Middle Aged Reoperation Risk Assessment
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CT-based detection of clinically significant portal hypertension predicts post-hepatectomy outcomes in hepatocellular carcinoma.

European radiology Feb 14, 2025
BACKGROUND: While the CT-based method of detecting clinically significant portal hypertension (CSPH) emerged as a noninvasive alternative for evaluating CSPH, its predictive ability for post-hepatectomy outcomes is unknown. Therefore, this study aime...
Humans Retrospective Studies Tomography, X-Ray Computed Female Carcinoma, Hepatocellular Male Aged Treatment Outcome Middle Aged Predictive Value of Tests Postoperative Complications Hepatectomy Liver Neoplasms Hypertension, Portal
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Developing a Novel Artificial Intelligence Framework to Measure the Balance of Clinical Versus Nonclinical Influences on Posthepatectomy Length of Stay.

Annals of surgical oncology Feb 5, 2025
BACKGROUND: Length of stay (LOS) is a key indicator of posthepatectomy care quality. While clinical factors influencing LOS are identified, the balance between clinical and nonclinical influences remains unquantified. We developed an artificial intel...
Liver Neoplasms Follow-Up Studies Hepatectomy Humans Aged Artificial Intelligence Prognosis Male Female Middle Aged Postoperative Complications Length of Stay
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