Exploring the landscape of AI-assisted decision-making in head and neck cancer treatment: a comparative analysis of NCCN guidelines and ChatGPT responses
F Marchi, E Bellini, A Iandelli, C Sampieri… - European Archives of Oto …, 2024 - Springer
Purpose Recent breakthroughs in natural language processing and machine learning,
exemplified by ChatGPT, have spurred a paradigm shift in healthcare. Released by OpenAI …
exemplified by ChatGPT, have spurred a paradigm shift in healthcare. Released by OpenAI …
Current Status and Future Directions of Research on Artificial Intelligence in Nasopharyngolaryngoscopy
C Fan, X Miao, X Sun, Y Zhong, B Liu, M Xiang, B Ye - Respiration, 2024 - karger.com
The nasopharyngolaryngoscopy (NPL) has emerged as a valuable tool for detecting early
cases of head and neck cancers (HNCs). However, misdiagnoses and missed diagnoses …
cases of head and neck cancers (HNCs). However, misdiagnoses and missed diagnoses …
Computer Vision and Videomics in Otolaryngology–Head and Neck Surgery: Bridging the Gap Between Clinical Needs and the Promise of Artificial Intelligence
Vision is critical to the practice of otolaryngology and head and neck surgery (OHNS).
Endoscopy of the upper aerodigestive tract (UADT) plays a central role in disease diagnosis …
Endoscopy of the upper aerodigestive tract (UADT) plays a central role in disease diagnosis …
SAM-FNet: SAM-Guided Fusion Network for Laryngo-Pharyngeal Tumor Detection
J Wei, Y Li, M Qiu, H Chen, X Fan, W Lei - arXiv preprint arXiv:2408.05426, 2024 - arxiv.org
Laryngo-pharyngeal cancer (LPC) is a highly fatal malignant disease affecting the head and
neck region. Previous studies on endoscopic tumor detection, particularly those leveraging …
neck region. Previous studies on endoscopic tumor detection, particularly those leveraging …
An automated approach for real-time informative frames classification in laryngeal endoscopy using deep learning
Purpose Informative image selection in laryngoscopy has the potential for improving
automatic data extraction alone, for selective data storage and a faster review process, or in …
automatic data extraction alone, for selective data storage and a faster review process, or in …
Applying Deep Learning with Convolutional Neural Networks to Laryngoscopic Imaging for Automated Segmentation and Classification of Vocal Cord Leukoplakia
M Xiong, J Luo, J Ren, JJ Hu, L Lan… - Ear, Nose & Throat …, 2024 - journals.sagepub.com
Objectives: Vocal cord leukoplakia is clinically described as a white plaque or patch on the
vocal cords observed during macroscopic examination, which does not take into account …
vocal cords observed during macroscopic examination, which does not take into account …
AI-Assisted Laryngeal Examination System
Laryngeal cancer (LC) and other benign conditions are major concerns in modern ear, nose,
and throat medicine. A comprehensive evaluation of the larynx should employ flexible or …
and throat medicine. A comprehensive evaluation of the larynx should employ flexible or …
Otolaryngology-Head and Neck
CF Holsinger - Artificial Intelligence in Otolaryngology, An Issue …, 2024 - books.google.com
Vision is critical to the practice of otolaryngology and head and neck surgery (OHNS).
Endoscopy of the upper aerodigestive tract (UADT) plays a central role in disease diagnosis …
Endoscopy of the upper aerodigestive tract (UADT) plays a central role in disease diagnosis …