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<p>The early detection of neoplasms in the esophagus remains a&#xa0;significant challenge despite advances in endoscopic techniques. Artificial intelligence (AI) has emerged as a&#xa0;promising tool to improve diagnostic accuracy and assist endoscopists in real-time detection of early cancerous lesions. Several studies have shown that AI systems outperform traditional methods, significantly increasing sensitivity and specificity in detecting Barrett’s and squamous cell carcinoma. AI could reduce missed diagnoses and ensure that early neoplasms are detected more reliably, thus, improving patient outcomes. Large-scale clinical validation is needed before widespread implementation. The next step involves integrating these systems into daily clinical practice, providing support for both experienced and nonexpert clinicians, benefiting patients and healthcare professionals alike.</p>

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Ösophagus im Visier der künstlichen Intelligenz

  • 期刊论文

  • 发表日期：

    2025年1月29日

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  • Lisa Birzle,
  • Alanna Ebigbo

摘要

The early detection of neoplasms in the esophagus remains a significant challenge despite advances in endoscopic techniques. Artificial intelligence (AI) has emerged as a promising tool to improve diagnostic accuracy and assist endoscopists in real-time detection of early cancerous lesions. Several studies have shown that AI systems outperform traditional methods, significantly increasing sensitivity and specificity in detecting Barrett’s and squamous cell carcinoma. AI could reduce missed diagnoses and ensure that early neoplasms are detected more reliably, thus, improving patient outcomes. Large-scale clinical validation is needed before widespread implementation. The next step involves integrating these systems into daily clinical practice, providing support for both experienced and nonexpert clinicians, benefiting patients and healthcare professionals alike.