AIMC Topic: Liver
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Results of robotic liver surgery in association with IWATE criteria - the first 100 cases.
Langenbeck's archives of surgery
Feb 2, 2024
BACKGROUND: Aim of the current study was to present the results of the implementation phase of a robotic liver surgery program and to assess the validity of the IWATE difficulty score in predicting difficulty and postoperative complications in roboti...
Deep Learning Auto-Segmentation Network for Pediatric Computed Tomography Data Sets: Can We Extrapolate From Adults?
International journal of radiation oncology, biology, physics
Jan 19, 2024
PURPOSE: Artificial intelligence (AI)-based auto-segmentation models hold promise for enhanced efficiency and consistency in organ contouring for adaptive radiation therapy and radiation therapy planning. However, their performance on pediatric compu...
A deep learning-based interactive medical image segmentation framework with sequential memory.
Computer methods and programs in biomedicine
Jan 18, 2024
BACKGROUND AND OBJECTIVE: Image segmentation is an essential component in medical image analysis. The case of 3D images such as MRI is particularly challenging and time consuming. Interactive or semi-automatic methods are thus highly desirable. Howev...
Intraoperative artificial intelligence system identifying liver vessels in laparoscopic liver resection: a retrospective experimental study.
Surgical endoscopy
Jan 12, 2024
BACKGROUND: The precise recognition of liver vessels during liver parenchymal dissection is the crucial technique for laparoscopic liver resection (LLR). This retrospective feasibility study aimed to develop artificial intelligence (AI) models to rec...
Deep-learning reconstruction with low-contrast media and low-kilovoltage peak for CT of the liver.
Clinical radiology
Jan 6, 2024
AIM: To compare images using reduced CM, low-kVp scanning and DLR reconstruction with conventional images (no CM reduction, normal tube voltage, reconstructed with HBIR. To compare images using reduced contrast media (CM), low kilovoltage peak (kVp) ...
Single-cell spatial multi-omics and deep learning dissect enhancer-driven gene regulatory networks in liver zonation.
Nature cell biology
Jan 5, 2024
In the mammalian liver, hepatocytes exhibit diverse metabolic and functional profiles based on their location within the liver lobule. However, it is unclear whether this spatial variation, called zonation, is governed by a well-defined gene regulato...
Artificial intelligence scoring of liver biopsies in a phase II trial of semaglutide in nonalcoholic steatohepatitis.
Hepatology (Baltimore, Md.)
Dec 19, 2023
BACKGROUND AND AIMS: Artificial intelligence-powered digital pathology offers the potential to quantify histological findings in a reproducible way. This analysis compares the evaluation of histological features of NASH between pathologists and a mac...
Semi-supervised liver segmentation based on local regions self-supervision.
Medical physics
Dec 18, 2023
BACKGROUND: Semi-supervised learning has gained popularity in medical image segmentation due to its ability to reduce reliance on image annotation. A typical approach in semi-supervised learning is to select reliable predictions as pseudo-labels and ...
Deep learning-based attenuation correction method in Tc-GSA SPECT/CT hepatic imaging: a phantom study.
Radiological physics and technology
Nov 30, 2023
This study aimed to evaluate a deep learning-based attenuation correction (AC) method to generate pseudo-computed tomography (CT) images from non-AC single-photon emission computed tomography images (SPECT) for AC in Tc-galactosyl human albumin dieth...
Application of transfer learning to predict drug-induced human in vivo gene expression changes using rat in vitro and in vivo data.
PloS one
Nov 30, 2023
The liver is the primary site for the metabolism and detoxification of many compounds, including pharmaceuticals. Consequently, it is also the primary location for many adverse reactions. As the liver is not readily accessible for sampling in humans;...
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