This paper is in the following e-collection/theme issue:

Computer-Aided Diagnosis (268) Dental Sciences (179) Immunoinformatics and Pathology informatics (21) Innovations in Cancer Diagnostic and Decision Support (117) Datasets (19) Decision Support for Health Professionals (1594) Imaging Informatics (318) Machine Learning (2173) Artificial Intelligence (2252)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76148, first published .
Enhancing Oral Health Diagnostics With Hyperspectral Imaging and Computer Vision: Clinical Dataset Study

Enhancing Oral Health Diagnostics With Hyperspectral Imaging and Computer Vision: Clinical Dataset Study

Enhancing Oral Health Diagnostics With Hyperspectral Imaging and Computer Vision: Clinical Dataset Study

Authors of this article:

Paul Römer1 Author Orcid Image ;   Jean-Jacques Ponciano2 Author Orcid Image ;   Katharina Kloster1 Author Orcid Image ;   Fabia Siegberg1 Author Orcid Image ;   Bastian Plaß2 Author Orcid Image ;   Shankeeth Vinayahalingam3 Author Orcid Image ;   Bilal Al-Nawas1 Author Orcid Image ;   Peer W Kämmerer1 Author Orcid Image ;   Thomas Klauer2 Author Orcid Image ;   Daniel Thiem1 Author Orcid Image
Article Authors Cited by (3) Tweetations (1) Metrics

Journals

  1. Wołk K, Wołk A. Hyperspectral Imaging System Applications in Healthcare. Electronics 2025;14(23):4575 View
  2. Zhao X, Lin H, Zeng B, Zhou R, Ma L, Liu B, Shan Q, Wu T. Recent advance in early oral lesion diagnosis: the application of artificial intelligence-assisted endoscopy. Frontiers in Oncology 2026;15 View
  3. Andrzejczak B, Diedul A, Szczepankiewicz A, Trojanowski P, Skrzypczak A, Bączkiewicz A, Szymańska H, Wyganowska M, Ślebioda Z. Use of Artificial Intelligence for Diagnosing Oral Mucosa Conditions: A Review. Diagnostics 2026;16(2):365 View