AIMC Topic: Liver Diseases
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Robotic hepatectomies: advances and perspectives.
Minerva chirurgica
Jun 9, 2016
INTRODUCTION: Over recent years, minimally invasive hepatic resections have increasingly been reported in the literature. Even though hepatic surgery is still considered a challenge for surgeons due to its technical difficulties and high morbidity, t...
A decision support system to improve medical diagnosis using a combination of k-medoids clustering based attribute weighting and SVM.
Journal of medical systems
Mar 21, 2016
The use of machine learning tools has become widespread in medical diagnosis. The main reason for this is the effective results obtained from classification and diagnosis systems developed to help medical professionals in the diagnosis phase of disea...
Robotic liver surgery: preliminary experience in a tertiary hepato-biliary unit.
Updates in surgery
Mar 8, 2015
Minimally invasive liver surgery is performed with increasing frequency by hepatic surgeons. Laparoscopy was the first approach to be used and it is currently safely feasible in selected patients by experienced surgeons. Minor and major laparoscopic ...
Unmet needs in autoimmune liver diseases.
Current opinion in immunology
Aug 1, 2025
Autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis are well-defined autoimmune liver diseases, the pathophysiology of which remains enigmatic. While major therapeutic advances have been achieved for many other autoi...
Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study.
Journal of medical Internet research
May 26, 2025
BACKGROUND: Sepsis-associated liver injury (SALI) is a severe complication of sepsis that contributes to increased mortality and morbidity. Early identification of SALI can improve patient outcomes; however, sepsis heterogeneity makes timely diagnosi...
Radiomics-based automated machine learning for differentiating focal liver lesions on unenhanced computed tomography.
Abdominal radiology (New York)
May 1, 2025
BACKGROUND & AIMS: Enhanced computed tomography (CT) is the primary method for focal liver lesion diagnosis. We aimed to use automated machine learning (AutoML) algorithms to differentiate between benign and malignant focal liver lesions on the basis...
Clinical impact of artificial intelligence-based solutions on imaging of the pancreas and liver.
World journal of gastroenterology
Mar 7, 2023
Artificial intelligence (AI) has experienced substantial progress over the last ten years in many fields of application, including healthcare. In hepatology and pancreatology, major attention to date has been paid to its application to the assisted o...
Liver fat analysis using optimized support vector machine with support vector regression.
Technology and health care : official journal of the European Society for Engineering and Medicine
Jan 1, 2023
BACKGROUND: Fatty liver disease is a common condition caused by excess fat in the liver. It consists of two types: Alcoholic Fatty Liver Disease, also called alcoholic steatohepatitis, and Non-Alcoholic Fatty Liver Disease (NAFLD). As per epidemiolog...
[Artificial intelligence technology enables ultrasonography in precision diagnosisand treatment of liver diseases].
Zhongguo xue xi chong bing fang zhi za zhi = Chinese journal of schistosomiasis control
Oct 12, 2022
Liver disease is one of the major problems affecting human health. Ultrasound plays an important role in diagnosis and treatment of diffuse and focal liver diseases. However, conventional ultrasound evaluation is subjective and provides limited infor...
Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction.
BMJ health & care informatics
Apr 1, 2022
OBJECTIVES: The Indian Liver Patient Dataset (ILPD) is used extensively to create algorithms that predict liver disease. Given the existing research describing demographic inequities in liver disease diagnosis and management, these algorithms require...
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