Gastroenterology

GERD

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

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Showing 274-294 of 2,604 articles
Machine Learning Identification of Patient Phenoclusters in Aortic Regurgitation.

BACKGROUND: Current treatment paradigms assume aortic regurgitation (AR) patients to be a homogenous...

Mar 2025 40146099
Machine learning-based prediction of vesicoureteral reflux outcomes in infants under antibiotic prophylaxis.

We aimed to investigate the independent outcome predictors of continuous antibiotic prophylaxis (CAP...

Mar 2025 40121274
Application of machine learning models to identify predictors of good outcome after laparoscopic fundoplication.

BACKGROUND: Laparoscopic fundoplication remains the gold standard treatment for gastroesophageal ref...

Mar 2025 40122374
Proteomic Learning of Gamma-Aminobutyric Acid (GABA) Receptor-Mediated Anesthesia.

Anesthetics are crucial in surgical procedures and therapeutic interventions, but they come with sid...

Mar 2025 40094320
Abnormal heart sound recognition using SVM and LSTM models in real-time mode.

Cardiovascular diseases are non-communicable diseases that are considered the leading cause of death...

Mar 2025 40097448
Identification of potential biomarkers for lung cancer using integrated bioinformatics and machine learning approaches.

Lung cancer is one of the most common cancer and the leading cause of cancer-related death worldwide...

Feb 2025 40014586
Identification of Biomarkers for Response to Interferon in Chronic Hepatitis B Based on Bioinformatics Analysis and Machine Learning.

Interferon (IFN) is a pivotal agent against hepatitis B virus (HBV) in clinic, but there is a lack o...

Feb 2025 39992204
Soft-tissue metastasis in esophageal cancer managed by dose escalation radiation therapy: a clinical case and review of literature.

Soft tissue metastasis in esophageal cancer is a very rare entity. A 76-year-old man was referred fo...

Feb 2025 40104667
Towards full integration of explainable artificial intelligence in colon capsule endoscopy's pathway.

Despite recent surge of interest in deploying colon capsule endoscopy (CCE) for early diagnosis of c...

Feb 2025 39966538
Unsupervised neural network-based image stitching method for bladder endoscopy.

Bladder endoscopy enables the observation of intravesical lesion characteristics, making it an essen...

Feb 2025 39964991
Combining machine learning with external validation to explore necroptosis and immune response in moyamoya disease.

Moyamoya disease (MMD) is a rare chronic vascular disease leads to cognitive impairment and stroke w...

Feb 2025 39948449
Human sleep position classification using a lightweight model and acceleration data.

PURPOSE: This exploratory study introduces a portable, wearable device using a single accelerometer ...

Feb 2025 39928075
SEGT-GO: a graph transformer method based on PPI serialization and explanatory artificial intelligence for protein function prediction.

BACKGROUND: A massive amount of protein sequences have been obtained, but their functions remain cha...

Feb 2025 39930351
Use of artificial intelligence in submucosal vessel detection during third-space endoscopy.

While artificial intelligence (AI) shows high potential in decision support for diagnostic gastroint...

Feb 2025 39909396
Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the most prevalent and deadly form of liver cancer, and its mortal...

Feb 2025 39908244
An AI-assisted morphoproteomic approach is a supportive tool in esophagitis-related precision medicine.

Esophagitis is a frequent, but at the molecular level poorly characterized condition with diverse un...

Feb 2025 39901020
Impact of standard enhancement settings of endoscopy systems on performance of endoscopic artificial intelligence systems.

BACKGROUND:  Artificial intelligence (AI) systems in endoscopy are predominantly developed and teste...

Jan 2025 39884307
Ultrasound Predicts Drug-Induced Sleep Endoscopy Findings Using Machine Learning Models.

OBJECTIVES: Ultrasound is a promising low-risk imaging modality that can provide objective airway me...

Jan 2025 39876795
Identification of biomarkers associated with coronary artery disease and non-alcoholic fatty liver disease by bioinformatics analysis and machine learning.

The constantly emerging evidence indicates a close association between coronary artery disease (CAD)...

Jan 2025 39875572
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