Artificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia

Artificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia

Abstract Visual diagnosis is one of the key features of squamous cell carcinoma of the oral cavity (OSCC) and oropharynx (OPSCC), both subsets of head and neck squamous cell carcinoma (HNSCC) with a heterogeneous clinical appearance. Advancements in artificial intelligence led to Image recognition b...

Full description

Saved in:
Bibliographic Details
Main Authors: Benedikt Schmidl, Tobias Hütten, Steffi Pigorsch, Fabian Stögbauer, Cosima C. Hoch, Timon Hussain, Barbara Wollenberg, Markus Wirth
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Image recognition
OSCC
ChatGPT
OPSCC
Artificial Intelligence
Online Access:https://doi.org/10.1038/s41598-025-85920-4
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-85920-4

Similar Items