CareLit Fachartikel
Künstliche Intelligenz in der laryngealen Endoskopie
Andreas M. Kist · Sprache · Stimme · Gehör · 2023 · Heft 3 · S. 134 bis 138
Dokument
309138
CareLit-ID
Jahr
2023
Publikation
PDF
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Metadaten
DOI
ja
zitierfähig
Bibliografische Angaben
Zusammenfassung
Abstract The application of artificial intelligence (AI) in medical imaging allows the rapid and complex analysis of endoscopic image material. Laryngeal endoscopy has several applications with its variants, such as video stroboscopy and high-speed video endoscopy. AI can enhance image quality, detect lesions through object detection, and quantify vocal fold vibration behavior through glottal area identification. The application of AI-assisted endoscopy systems simplifies diagnosis and therapy monitoring and supports the medical staff in their tasks. Key Points Artificial intelligence, especially deep learning,…
Schlagworte
IMAGE
COMPUTER
ENDOSKOPIE
INTERNATIONAL
LERNEN
MONITORING
SOFTWARE
LITERATUR
GLOTTIS
Sprache · Stimme · Gehör
