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

Computer-Aided Diagnosis (445) Decision Support for Health Professionals (2360) Dental Sciences (240) Imaging Informatics (511) Datasets (36) Machine Learning (3353) Artificial Intelligence (5054) Innovations in Cancer Diagnostic and Decision Support (162) Immunoinformatics and Pathology informatics (32)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/76148, first published .
Dentist uses augmented reality headset for dental treatment visualization

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 (7) Tweetations (2) 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
  4. Kankawale S, Jamkhande A, Oka G. Hyperspectral imaging in oral oncology: a scoping review. Frontiers in Oral Health 2026;7 View
  5. Rathenborg A, Klütz V, Grützner P, Hartung L, Demmel G, Bender C, Sellner J, Seidlitz S, Haney‐Aubert C, Fattal W, Clanget T, Özdemir B, Knoedler S, Salg G, Renner L, Carl N, Yu C, Leung C, Edelmann D, Schreck N, Michel M, Maier‐Hein L, Kowalewski K. ManUSPECTRAL – the Mannheim Urology HyperSPECTRAL Imaging Atlas of 17 Physiological Human Organs. BJU International 2026 View
  6. Meeran A, Chowdhury M, Naznine M, Hamid Md Ali S, Sankaran R, Pedersen S. AI-Driven Hyperspectral Imaging in Clinical Medicine: A Critical Appraisal of Translational Readiness. Diagnostics 2026;16(20):3338 View

Conference Proceedings

  1. Begum S, Gadagkar A, Mufna A, Meghana C, Devika . 2026 IEEE International Conference on Emerging Synergy Science and Technology (ICESST). Enhanced Method to Classify and Detect Oral Health Issues from Spectral Imaging Using Artificial Intelligence View