AIMC Topic: Liver Diseases

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Robotic enucleation of a biliary adenofibroma.

BMJ case reports Aug 10, 2021
A 69-year-old man was referred to the hepatobiliary surgeons for mild enlargement of an asymptomatic cystic liver lesion found on routine screening in 2017 that measured 3.7×3.6×4.3 cm. Work-up with MRI revealed a complex multilocular cyst that had e...
Humans Robotic Surgical Procedures Liver Diseases Adenofibroma Aged Male Robotics
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The Use of Robotics in Surgery of Benign Liver Diseases: A Systematic Review.

Surgical innovation Jul 18, 2021
BACKGROUND: Surgical treatment of benign liver diseases (BLD) remains a field of conflict, due to increased risk and high complication rate. However, the introduction of minimally invasive surgery has led to increased number of patients with BLD bein...
Liver Diseases Postoperative Complications Length of Stay Treatment Outcome Robotics Laparoscopy Humans Robotic Surgical Procedures
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The application of artificial intelligence in hepatology: A systematic review.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Jul 12, 2021
The integration of human and artificial intelligence (AI) in medicine has only recently begun but it has already become obvious that intelligent systems can dramatically improve the management of liver diseases. Big data made it possible to envisage ...
Humans Artificial Intelligence Gastroenterology Liver Diseases
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Single-breath-hold T2WI liver MRI with deep learning-based reconstruction: A clinical feasibility study in comparison to conventional multi-breath-hold T2WI liver MRI.

Magnetic resonance imaging Jun 18, 2021
OBJECTIVE: To investigate the clinical feasibility of single-breath-hold (SBH) T2-weighted (T2WI) liver MRI with deep learning-based reconstruction in the evaluation of image quality and lesion delineation, compared with conventional multi-breath-hol...
Deep Learning Liver Neoplasms Magnetic Resonance Imaging Humans Adult Image Enhancement Liver Diseases Liver Feasibility Studies Artifacts
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Development and validation of artificial intelligence to detect and diagnose liver lesions from ultrasound images.

PloS one Jun 8, 2021
Artificial intelligence (AI) using a convolutional neural network (CNN) has demonstrated promising performance in radiological analysis. We aimed to develop and validate a CNN for the detection and diagnosis of focal liver lesions (FLLs) from ultraso...
Ultrasonography Image Processing, Computer-Assisted Liver Diseases Artificial Intelligence Retrospective Studies Humans Neural Networks, Computer
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Liver disease classification from ultrasound using multi-scale CNN.

International journal of computer assisted radiology and surgery Jun 7, 2021
PURPOSE: Ultrasound (US) is the preferred modality for fatty liver disease diagnosis due to its noninvasive, real-time, and cost-effective imaging capabilities. However, traditional B-mode US is qualitative, and therefore, the assessment is very subj...
Humans Ultrasonography Liver Diseases Neural Networks, Computer Machine Learning
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Robotic Unroofing of Large Hepatic Cyst: A Definitive Surgical Solution With Minimally Invasive Technique.

The American surgeon Mar 30, 2021
Liver Diseases Humans Robotics Minimally Invasive Surgical Procedures Laparoscopy Robotic Surgical Procedures Cysts
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Deep learning networks on chronic liver disease assessment with fine-tuning of shear wave elastography image sequences.

Physics in medicine and biology Nov 5, 2020
Chronic liver disease (CLD) is currently one of the major causes of death worldwide. If not treated, it may lead to cirrhosis, hepatic carcinoma and death. Ultrasound (US) shear wave elastography (SWE) is a relatively new, popular, non-invasive techn...
Humans Chronic Disease Deep Learning Elasticity Imaging Techniques Biopsy ROC Curve Female Liver Diseases Image Processing, Computer-Assisted Male Middle Aged
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Utilization of Deep Learning for Subphenotype Identification in Sepsis-Associated Acute Kidney Injury.

Clinical journal of the American Society of Nephrology : CJASN Oct 8, 2020
BACKGROUND AND OBJECTIVES: Sepsis-associated AKI is a heterogeneous clinical entity. We aimed to agnostically identify sepsis-associated AKI subphenotypes using deep learning on routinely collected data in electronic health records.
Liver Diseases Female Blood Urea Nitrogen Aged Humans Leukocyte Count Sepsis Male Phenotype Renal Dialysis Databases, Factual Simplified Acute Physiology Score Alanine Transaminase Prognosis United States Middle Aged Creatinine Bilirubin Glutamyl Aminopeptidase Acute Kidney Injury L-Lactate Dehydrogenase Electronic Health Records Lactic Acid Comorbidity Deep Learning
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Scattering Signatures of Normal versus Abnormal Livers with Support Vector Machine Classification.

Ultrasound in medicine & biology Sep 8, 2020
Fifty years of research on the nature of backscatter from tissues has resulted in a number of promising diagnostic parameters. We recently introduced two analyses tied directly to the biophysics of ultrasound scattering: the H-scan, based on a matche...
Rats, Sprague-Dawley Ultrasonography Liver Rats Animals Liver Diseases Support Vector Machine Male
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