Gastroenterology

Design and application of ISSA-BP neural network model for predicting soft tissue relaxation force.

: Accurate biomechanical modeling is crucial for enhancing the realism of virtual surgical training....

LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.

BACKGROUND: Hepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced mag...

State-of-the-art for automated machine learning predicts outcomes in poor-grade aneurysmal subarachnoid hemorrhage using routinely measured laboratory & radiological parameters: coagulation parameters and liver function as key prognosticators.

The objective of this study was to develop and evaluate automated machine learning (aML) models for ...

Deep Learning for High Speed Optical Coherence Elastography With a Fiber Scanning Endoscope.

Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via ...

UC-NeRF: Uncertainty-Aware Conditional Neural Radiance Fields From Endoscopic Sparse Views.

Visualizing surgical scenes is crucial for revealing internal anatomical structures during minimally...

Explainable attention-enhanced heuristic paradigm for multi-view prognostic risk score development in hepatocellular carcinoma.

PURPOSE: Existing prognostic staging systems depend on expensive manual extraction by pathologists, ...

Automation of protein crystallization scaleup via Opentrons-2 liquid handling.

In this study we present an approach for optimizing protein crystallization trials at the multi-micr...

Aggregation induced emission luminogen bacteria hybrid bionic robot for multimodal phototheranostics and immunotherapy.

Multimodal phototheranostics utilizing single molecules offer a "one-and-done" approach, presenting ...

A multimodal framework for assessing the link between pathomics, transcriptomics, and pancreatic cancer mutations.

In Pancreatic Ductal Adenocarcinoma (PDAC), predicting genetic mutations directly from histopatholog...

Voxel-level radiomics and deep learning for predicting pathologic complete response in esophageal squamous cell carcinoma after neoadjuvant immunotherapy and chemotherapy.

BACKGROUND: Accurate prediction of pathologic complete response (pCR) following neoadjuvant immunoth...

De novo design of self-assembling peptides with antimicrobial activity guided by deep learning.

Bioinspired materials based on self-assembling peptides are promising for tackling various challenge...

A snapshot of challenges and opportunities faced by the scientific workforce in liver transplantation-a survey of the International Liver Transplantation Society (ILTS).

Basic and translational research (B&TR) in liver transplantation (LT) underwent considerable change...

Liver lesion segmentation in ultrasound: A benchmark and a baseline network.

Accurate liver lesion segmentation in ultrasound is a challenging task due to high speckle noise, am...

AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation.

BACKGROUND: Magnetic Resonance (MR) imaging is the preferred modality for staging in rectal cancer; ...

Deep representation learning for clustering longitudinal survival data from electronic health records.

Precision medicine requires accurate identification of clinically relevant patient subgroups. Electr...

Processing Mobility Data Through Artificial Intelligence Can Identify Patterns of Physical Activity in Liver Transplant Candidates.

Segment Like A Doctor: Learning reliable clinical thinking and experience for pancreas and pancreatic cancer segmentation.

Pancreatic cancer is a lethal invasive tumor with one of the worst prognosis. Accurate and reliable ...

Artificial Intelligence-Assisted Capsule Endoscopy Versus Conventional Capsule Endoscopy for Detection of Small Bowel Lesions: A Systematic Review and Meta-Analysis.

BACKGROUND: Capsule endoscopy (CE) is a valuable tool used in the diagnosis of small intestinal lesi...

Machine learning reveals glycolytic key gene in gastric cancer prognosis.

Glycolysis is recognized as a central metabolic pathway in the neoplastic evolution of gastric cance...

Liver margin segmentation in abdominal CT images using U-Net and Detectron2: annotated dataset for deep learning models.

The segmentation of liver margins in computed tomography (CT) images presents significant challenges...

A novel flexible near-infrared endoscopic device that enables real-time artificial intelligence fluorescence tissue characterization.

Real-time endoscopic rectal lesion characterization employing artificial intelligence (AI) and near-...