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...
Saved in:
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: | |
Online Access: | https://doi.org/10.1038/s41598-025-85920-4 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Navigating the integration of ChatGPT in UAE’s government sector: challenges and opportunities
by: Ghada Nabil Goher
Published: (2025-01-01) -
Pilot Study on AI Image Analysis for Lower-Limb Reconstruction—Assessing ChatGPT-4’s Recommendations in Comparison to Board-Certified Plastic Surgeons and Resident Physicians
by: Silke Graul, et al.
Published: (2025-01-01) -
Unge og helseinformasjon<subtitle>ChatGPT vs. fagpersoner</subtitle>
by: Marita Skjuve, et al.
Published: (2025-01-01) -
ChatGPT, Python, and Microsoft Excel
by: Kaique Sbampato, et al.
Published: (2025-01-01) -
A reality check on chatbot-generated references in global health research
by: Amol S. Dhane, et al.
Published: (2024-06-01)