High-Speed Videoendoscopy Enhances the Objective Assessment of Glottic Organic Lesions: A Case-Control Study with Multivariable Data-Mining Model Development.
Jakub MalinowskiWioletta PietruszewskaKonrad StawiskiMagdalena Marianna KowalczykMagda BarańskaAleksander RycerzEwa Niebudek-BoguszPublished in: Cancers (2023)
The standard protocol for distinguishing between benign and malignant lesions continues to be clinical evaluation by an experienced ENT specialist and confirmed by histopathological examination. Our findings did suggest that advanced machine learning models, which consider the complex interactions present in HSV data, could potentially indicate a heightened risk of malignancy. Therefore, this technology could prove pivotal in aiding in early cancer detection, thereby emphasizing the need for further investigation and validation.
Keyphrases
- high speed
- clinical evaluation
- atomic force microscopy
- machine learning
- big data
- electronic health record
- high resolution
- papillary thyroid
- palliative care
- randomized controlled trial
- artificial intelligence
- loop mediated isothermal amplification
- data analysis
- deep learning
- squamous cell carcinoma
- young adults
- herpes simplex virus