AIMC Topic: Liver

Clear Filters Showing 31 to 40 of 641 articles

Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease.

Scientific reports
Advanced metabolic-dysfunction-associated steatotic liver disease (MASLD) fibrosis (F3-4) predicts liver-related outcomes. Serum and elastography-based non-invasive tests (NIT) cannot yet reliably predict MASLD outcomes. The role of B-mode ultrasound...

Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma.

Scientific reports
The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, using data from Bama miniature pigs and patients in Beijing, China. A deep learning model was created and fine-tuned with animal and clinical data, achi...

CFM-UNet: coupling local and global feature extraction networks for medical image segmentation.

Scientific reports
In medical image segmentation, traditional CNN-based models excel at extracting local features but have limitations in capturing global features. Conversely, Mamba, a novel network framework, effectively captures long-range feature dependencies and e...

D-RD-UNet: A dual-stage dual-class framework with connectivity correction for hepatic vessels segmentation.

Computers in biology and medicine
Accurate segmentation of hepatic and portal veins is critical for preoperative planning in liver surgery, especially for resection and transplantation procedures. Extensive anatomical variability, pathological alterations, and inherent class imbalanc...

Multi-omics and random forest reveal lipid metabolism disruption and biomarkers in grass carp (Ctenopharyngodon idellus) exposed to 2-methylisoborneol.

Environmental research
The lipophilic nature of 2-methylisoborneol (2-MIB), a prevalent off-flavor compound in aquatic systems, raises concerns about its bioaccumulation potential and metabolic interference in fish. Most studies have focused on removing this compound from ...

The liver reconditioning in critical care medicine.

Current opinion in anaesthesiology
PURPOSE OF REVIEW: Machine perfusion has emerged as a transformative alternative to static cold storage in liver transplantation, necessitating a comprehensive review of current evidence. This article examines recent advances in preservation techniqu...

Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach.

European radiology experimental
OBJECTIVES: To evaluate a deep learning sequence-adaptive liver multiparametric MRI (mpMRI) assessment with validation in different populations using total and segmental T1 and T2 relaxation time maps.

A miniaturized liver function detection system with machine learning enhancing strategy.

Biosensors & bioelectronics
Serum alanine aminotransferase (ALT) is one of the most sensitive indicators of liver function and is crucial in diagnosing acute liver injury (ALI). However, its widespread clinical application is limited due to expensive equipment, detection delays...

Identification and evaluation of biomarkers for diagnosis of chronic hepatitis B using RNA-seq.

Virus research
BACKGROUND & AIM: Chronic hepatitis B (CHB) is a global public health problem affecting hundreds of millions of people and is associated with significant morbidity and mortality of liver cancer. Exosomes originate from cells and their detection in bi...

One-Drop Serum Screening Test to Monitor Tissue Iron Accumulation.

Analytical chemistry
Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by significant cellular damage due to its accumulation within organs. Thus, early diagnosis and accurate identification of the affected organs are criti...