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Related Concept Videos

Barrett Esophagus-I: Introduction01:21

Barrett Esophagus-I: Introduction

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Barrett's esophagus is a medical condition where the esophageal mucosa is significantly damaged by stomach acid or other digestive fluids, often due to long-term exposure associated with gastroesophageal reflux disease (GERD). In GERD, a weakened or abnormally relaxed lower esophageal sphincter allows stomach acid to flow persistently into the esophagus.
This constant acid exposure transforms the esophagus's pink mucosal lining (stratified squamous epithelium) into a type of lining more...
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Barrett Esophagus-II: Clinical Manifestations and Management01:21

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Individuals with Barrett's esophagus are often asymptomatic, but they may experience symptoms commonly associated with GERD, such as heartburn and acid regurgitation. Additional symptoms can include difficulty swallowing, chest pain, unintentional weight loss, blood in the stool (which may appear black, tarry, or bloody), and episodes of vomiting.
To diagnose Barrett's esophagus, healthcare providers often recommend an endoscopy for those showing symptoms of acid reflux. The procedure...
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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
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Esophageal Strictures-I: Introduction01:30

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Esophageal strictures involve abnormal narrowing or tightening of the esophagus. They vary in length and severity, ranging from mild constriction to complete obstruction, and are classified as benign (noncancerous) or malignant (cancerous).
Etiology
The primary cause of esophageal strictures is long-standing gastroesophageal reflux disease (GERD), accounting for about 70 to 80% of adult cases. Chronic acid reflux can lead to injury and scarring of the esophageal lining, culminating in...
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The esophagus, a muscular conduit linking the pharynx and stomach, measures roughly 10 inches (25.4 cm) and sits behind the trachea. It remains collapsed when not swallowing. The esophagus follows a predominantly straight path through the thoracic mediastinum and enters the abdominal cavity through a diaphragmatic opening known as the esophageal hiatus.
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Related Experiment Video

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An Immunofluorescent Method for Characterization of Barrett’s Esophagus Cells
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Barrett esophagus: What to expect from Artificial Intelligence?

Alanna Ebigbo1, Christoph Palm2, Helmut Messmann1

  • 1Department of Gastroenterology, University Hospital of Augsburg, Germany.

Best Practice & Research. Clinical Gastroenterology
|June 26, 2021
PubMed
Summary

Artificial Intelligence (AI) shows promise for diagnosing Barrett's esophagus cancer early, improving patient outcomes and reducing costs. This review explores AI implementation challenges and future directions in Barrett's esophagus management.

Keywords:
AdenocarcinomaArtificial intelligenceBarrettConvolutional neural networksDeep learning

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Area of Science:

  • Gastroenterology and Medical Imaging
  • Artificial Intelligence in Medicine

Background:

  • Barrett's esophagus diagnosis is challenging for endoscopists.
  • Early cancer detection in Barrett's esophagus is critical for prognosis and cost savings.

Purpose of the Study:

  • To review current challenges in implementing AI for Barrett's esophagus.
  • To discuss future perspectives of AI in managing Barrett's esophagus patients.

Main Methods:

  • Review of pre-clinical and clinical studies on AI in Barrett's esophagus.
  • Analysis of AI system implementation in patient management.

Main Results:

  • AI applications in Barrett's esophagus have demonstrated promising preliminary results.
  • Significant challenges exist in the widespread adoption of AI systems.

Conclusions:

  • AI holds potential to enhance early cancer diagnosis in Barrett's esophagus.
  • Addressing implementation challenges is key to realizing AI's future benefits in patient care.