Gastroenterology

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

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Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation

Liver-vessel segmentation is an essential task in the pre-operative planning of liver resection. S...

Cox-Sage: enhancing Cox proportional hazards model with interpretable graph neural networks for cancer prognosis.

High-throughput sequencing technologies have facilitated a deeper exploration of prognostic biomarke...

Mar 2025 40067266
Benchmarking ensemble machine learning algorithms for multi-class, multi-omics data integration in clinical outcome prediction.

The complementary information found in different modalities of patient data can aid in more accurate...

Mar 2025 40116658
DOMSCNet: a deep learning model for the classification of stomach cancer using multi-layer omics data.

The rapid advancement of next-generation sequencing (NGS) technology and the expanding availability ...

Mar 2025 40178281
PathSynergy: a deep learning model for predicting drug synergy in liver cancer.

Cancer is a major public health problem while liver cancer is the main cause of global cancer-relate...

Mar 2025 40273429
Accurate, Robust, and Scalable Machine Abstraction of Mayo Endoscopic Subscores From Colonoscopy Reports.

BACKGROUND: The Mayo endoscopic subscore (MES) is an important quantitative measure of disease activ...

Mar 2025 38533919
Cross Modality Medical Image Synthesis for Improving Liver Segmentation

Deep learning-based computer-aided diagnosis (CAD) of medical images requires large datasets. Howe...

Enhanced Multi-Class Classification of Gastrointestinal Endoscopic Images with Interpretable Deep Learning Model

Endoscopy serves as an essential procedure for evaluating the gastrointestinal (GI) tract and play...

LightEndoStereo: A Real-time Lightweight Stereo Matching Method for Endoscopy Images

Real-time acquisition of accurate depth of scene is essential for automated robotic minimally inva...

Artificial Intelligence: An Emerging Tool for Studying Drug-Induced Liver Injury.

Drug-induced liver injury (DILI) is a complex and potentially severe adverse reaction to drugs, herb...

Mar 2025 39982029
Opportunistic Detection of Hepatocellular Carcinoma Using Noncontrast CT and Deep Learning Artificial Intelligence.

OBJECTIVE: Hepatocellular carcinoma (HCC) poses a heavy global disease burden; early diagnosis is cr...

Mar 2025 40044303
EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT

Crohn's disease and intestinal tuberculosis share many overlapping features such as clinical, radi...

AutoComb: Automated Comb Sign Detector for 3D CTE Scans

Comb Sign is an important imaging biomarker to detect multiple gastrointestinal diseases. It shows...

HQColon: A Hybrid Interactive Machine Learning Pipeline for High Quality Colon Labeling and Segmentation

High-resolution colon segmentation is crucial for clinical and research applications, such as digi...

EndoPBR: Material and Lighting Estimation for Photorealistic Surgical Simulations via Physically-based Rendering

The lack of labeled datasets in 3D vision for surgical scenes inhibits the development of robust 3...

Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study.

BACKGROUND: The International Study Group of Pancreatic Surgery has established the definition and g...

Feb 2025 40062328
Expertise Is What We Want

Clinical decision-making depends on expert reasoning, which is guided by standardized, evidence-ba...

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