Gastroenterology

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

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The role of artificial intelligence and image processing in the diagnosis, treatment, and prognosis of liver cancer: a narrative-review.

Artificial intelligence (AI) and image processing are revolutionising the diagnosis and management o...

Sep 2024 39802971
Improved diagnostic efficiency of CRC subgroups revealed using machine learning based on intestinal microbes.

BACKGROUND: Colorectal cancer (CRC) is a common cancer that causes millions of deaths worldwide each...

Sep 2024 39289618
Deep Learning Algorithm‑Based MRI Radiomics and Pathomics for Predicting Microsatellite Instability Status in Rectal Cancer: A Multicenter Study.

RATIONALE AND OBJECTIVES: To develop and validate multimodal deep-learning models based on clinical ...

Sep 2024 39289097
Use machine learning to predict pulmonary metastasis of esophageal cancer: a population-based study.

BACKGROUND: This study aims to establish a predictive model for assessing the risk of esophageal can...

Sep 2024 39283330
Clinical feasibility of deep learning-accelerated single-shot turbo spin echo sequence with enhanced denoising for pancreas MRI at 3 Tesla.

PURPOSE: To assess the feasibility of the single-shot turbo spin echo sequence using deep learning-b...

(1)
Sep 2024 39305750
Boundary-aware convolutional attention network for liver segmentation in ultrasound images.

Liver ultrasound is widely used in clinical practice due to its advantages of non-invasiveness, non-...

Sep 2024 39278955
Radiomics machine learning algorithm facilitates detection of small pancreatic neuroendocrine tumors on CT.

PURPOSE: The purpose of this study was to develop a radiomics-based algorithm to identify small panc...

(1)
Sep 2024 39278763
Machine learning predicts acute respiratory failure in pancreatitis patients: A retrospective study.

PURPOSE: The purpose of the research is to design an algorithm to predict the occurrence of acute re...

(2)
Sep 2024 39321493
Multitask machine learning-based tumor-associated collagen signatures predict peritoneal recurrence and disease-free survival in gastric cancer.

BACKGROUND: Accurate prediction of peritoneal recurrence for gastric cancer (GC) is crucial in clini...

(2)
Sep 2024 39271552
AI in obstetrics: Evaluating residents' capabilities and interaction strategies with ChatGPT.

In line with the digital transformation trend in medical training, students may resort to artificial...

(2)
Sep 2024 39326228
Immunohistochemistry annotations enhance AI identification of lymphocytes and neutrophils in digitized H&E slides from inflammatory bowel disease.

BACKGROUND AND OBJECTIVE: Histologic assessment of the immune infiltrate in H&E slides is vital in d...

Sep 2024 39306985
Systems Biology and Machine Learning Identify Genetic Overlaps Between Lung Cancer and Gastroesophageal Reflux Disease.

One Health and planetary health place emphasis on the common molecular mechanisms that connect sever...

Sep 2024 39269895
Gemini-Assisted Deep Learning Classification Model for Automated Diagnosis of High-Resolution Esophageal Manometry Images.

To develop a deep learning model for esophageal motility disorder diagnosis using high-resolution m...

Sep 2024 39336534
Usefulness of an Artificial Intelligence Model in Recognizing Recurrent Laryngeal Nerves During Robot-Assisted Minimally Invasive Esophagectomy.

BACKGROUND: Recurrent laryngeal nerve (RLN) palsy is a common complication in esophagectomy and its ...

(4)
Sep 2024 39266790
Evaluation of floatability characteristics of gastroretentive tablets using VIS imaging with artificial neural networks.

Gastroretentive dosage forms are recommended for several active substances because it is often neces...

Sep 2024 39270990
Advanced Prediction of Hepatic Oncogenic Transformation in HBV Patients via RNA-Seq Data Analysis and Deep Learning Techniques.

Liver cancer, recognized as a significant global health issue, is increasingly correlated with Hepat...

(1)
Sep 2024 39337315
A Predictive Model of Pressure Injury in Children Undergoing Living Donor Liver Transplantation Based on Machine Learning Algorithm.

AIMS: The aim of our study was to formulate and validate a prediction model using machine learning a...

Sep 2024 39253783
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