Gastroenterology

Latest AI and machine learning research in gastroenterology for healthcare professionals.

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BoostDILI: Extreme Gradient Boost-Powered Drug-Induced Liver Injury Prediction and Structural Alerts Generation.

Over the past 60 years, drug-induced liver injury (DILI) has played a key role in the withdrawal of ...

May 2025 40241442
Classification of disease subtypes in medical spectroscopy for multi-category sample imbalances based on grouping and hierarchical learning.

In the medical domain, the challenges in sample acquisition and collection often result in imbalance...

May 2025 40387978
Advances in gastrointestinal endoscopy: A comprehensive review of innovations in cancer diagnosis and management.

The field of gastroenterology has experienced revolutionary advances over the past years, as flexibl...

May 2025 40438719
Deep learning progressive distill for predicting clinical response to conversion therapy from preoperative CT images of advanced gastric cancer patients.

Identifying patients suitable for conversion therapy through early non-invasive screening is crucial...

May 2025 40379665
Artificial intelligence generated 3D body composition predicts dose modifications in patients undergoing neoadjuvant chemotherapy for rectal cancer.

PURPOSE: Chemotherapy administration is a balancing act between giving enough to achieve the desired...

May 2025 40379920
Multi-contrast laser endoscopy for in vivo gastrointestinal imaging

White light endoscopy is the clinical gold standard for detecting diseases in the gastrointestinal...

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Multimodal medical image segmentation faces significant challenges in the context of gastric cance...

Clinical Implications of The Cancer Genome Atlas Molecular Classification System in Esophagogastric Cancer.

PURPOSE: The Cancer Genome Atlas (TCGA) project defined four distinct molecular subtypes of esophago...

May 2025 40299774
Fine-Tuning an Existing Large Language Model with Knowledge from the Medical Expert System Hepaxpert.

The analysis and individual interpretation of hepatitis serology test results is a complex task in l...

May 2025 40380402
Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study.

Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim o...

May 2025 40380668
Machine Learning-Based Multimodal Radiomics and Transcriptomics Models for Predicting Radiotherapy Sensitivity and Prognosis in Esophageal Cancer.

Radiotherapy plays a critical role in treating esophageal cancer, but individual responses vary sign...

May 2025 40381695
A Multitask Network for the Diagnosis of Autoimmune Gastritis.

Autoimmune gastritis (AIG) has a strong correlation with gastric neuroendocrine tumors (NETs) and ga...

May 2025 40423011
Private Data Incrementalization: Data-Centric Model Development for Clinical Liver Segmentation.

Machine Learning models, more specifically Artificial Neural Networks, are transforming medical imag...

May 2025 40428149
Deep Reinforcement Learning for CT-Based Non-Invasive Prediction of SOX9 Expression in Hepatocellular Carcinoma.

The transcription factor SOX9 plays a critical role in various diseases, including hepatocellular c...

May 2025 40428248
Artificial intelligence as a predictive tool for gastric cancer: Bridging innovation, clinical translation, and ethical considerations.

With gastric cancer ranking among the most prevalent and deadly malignancies worldwide, early detect...

May 2025 40487933
Integrating ultrasound and serum indicators for evaluating outcomes of targeted immunotherapy in advanced liver cancer.

BACKGROUND: Hepatocellular carcinoma (HCC) is a major global contributor to cancer-related mortality...

May 2025 40487940
Development and validation of machine learning nomograms for predicting survival in stage IV pancreatic cancer: A retrospective study.

BACKGROUND: Stage IV pancreatic cancer (PC) has a poor prognosis and lacks individualized prognostic...

May 2025 40487945
Research status and progress of deep learning in automatic esophageal cancer detection.

Esophageal cancer (EC), a common malignant tumor of the digestive tract, requires early diagnosis an...

May 2025 40487951
Prediction of Ki-67 expression in hepatocellular carcinoma with machine learning models based on intratumoral and peritumoral radiomic features.

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant tumours of the digest...

May 2025 40487953
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