AI Medical Compendium Journal:
HPB : the official journal of the International Hepato Pancreato Biliary Association

Showing 1 to 10 of 20 articles

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...
Hepatectomy Databases, Factual Treatment Outcome Retrospective Studies Predictive Value of Tests Female Minimally Invasive Surgical Procedures Risk Factors Tumor Burden Aged Male Middle Aged Humans Risk Assessment Machine Learning Liver Neoplasms Decision Support Techniques Carcinoma, Hepatocellular
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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 Liver Neoplasms Laparoscopy Hepatectomy Reoperation Conversion to Open Surgery Risk Factors Aged Male Middle Aged Risk Assessment
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Ethics and trustworthiness of artificial intelligence in Hepato-Pancreato-Biliary surgery: a snapshot of insights from the European-African Hepato-Pancreato-Biliary Association (E-AHPBA) survey.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 21, 2024
BACKGROUND: Hepato-Pancreato-Biliary (HPB) surgery is a complex specialty and Artificial Intelligence (AI) applications have the potential to improve pre- intra- and postoperative outcomes of HPB surgery. While ethics guidelines have been developed f...
Humans Artificial Intelligence Trust Surveys and Questionnaires Europe Biliary Tract Surgical Procedures Digestive System Surgical Procedures Societies, Medical
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Machine learning based prediction model for bile leak following hepatectomy for liver cancer.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 20, 2024
OBJECTIVE: We sought to develop a machine learning (ML) preoperative model to predict bile leak following hepatectomy for primary and secondary liver cancer.
Middle Aged Risk Assessment Liver Neoplasms Carcinoma, Hepatocellular Predictive Value of Tests Female Risk Factors Aged Male Hepatectomy Anastomotic Leak Cholangiocarcinoma Humans Machine Learning Decision Support Techniques Databases, Factual Retrospective Studies
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Machine learning to predict the decision to perform surgery in hepatic echinococcosis.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 19, 2024
BACKGROUND: Cystic echinococcosis (CE) is a significant public health issue, primarily affecting the liver. While several management strategies exist, there is a lack of predictive tools to guide surgical decisions for hepatic CE. This study aimed to...
Female Humans Aged Risk Assessment Machine Learning Adult Decision Support Techniques Decision Trees Male Retrospective Studies Predictive Value of Tests Middle Aged Clinical Decision-Making Hepatectomy Echinococcosis, Hepatic
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Textbook outcome in liver surgery for intrahepatic cholangiocarcinoma: defining predictors of an optimal postoperative course using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 18, 2024
BACKGROUND: We sought to define textbook outcome in liver surgery (TOLS) for intrahepatic cholangiocarcinoma (ICC) by considering the implications of perioperative outcomes on overall survival (OS).
Time Factors Treatment Outcome Hepatectomy Bile Duct Neoplasms Cholangiocarcinoma Female Risk Factors Aged Male Middle Aged Humans Machine Learning Databases, Factual Retrospective Studies
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ChatGPT vs. surgeons on pancreatic cancer queries: accuracy & empathy evaluated by patients and experts.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 3, 2024
BACKGROUND: Artificial intelligence (AI) offers potential support in patient-clinician interactions, but its impact on such communication remains unexplored.
Female Aged Adult Male Surgeons Humans Artificial Intelligence Physician-Patient Relations Empathy Middle Aged Surveys and Questionnaires Generative Artificial Intelligence Pancreatic Neoplasms
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Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

HPB : the official journal of the International Hepato Pancreato Biliary Association Jul 25, 2024
BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique.
Treatment Outcome Predictive Value of Tests Bilirubin Hepatectomy Serum Albumin, Human Machine Learning Serum Albumin Databases, Factual Retrospective Studies Female Postoperative Complications Risk Factors Aged Time Factors Male Hospital Mortality Humans Middle Aged Liver Neoplasms Risk Assessment Carcinoma, Hepatocellular
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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).
Middle Aged Risk Assessment Deep Learning Liver Neoplasms Predictive Value of Tests Humans Female Carcinoma, Hepatocellular Artificial Intelligence Neoplasm Recurrence, Local Risk Factors Databases, Factual Liver Transplantation Aged Retrospective Studies Hepatectomy Male
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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 ...
Risk Assessment Postoperative Complications Time Factors Female Predictive Value of Tests Humans Risk Factors Hepatectomy Machine Learning Aged Retrospective Studies Male Acute Kidney Injury Middle Aged
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