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

New Methods (1142) Imaging Informatics (308) Artificial Intelligence (2169) Machine Learning (2101) Cardiology (230) Cardiac Diagnostics (30) Novel Sensors and Data Acquisition Methods in Cardiology (231) Medical imaging (116) Applications of AI (295)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67256, first published .
Noninvasive Oral Hyperspectral Imaging–Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study

Noninvasive Oral Hyperspectral Imaging–Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study

Noninvasive Oral Hyperspectral Imaging–Driven Digital Diagnosis of Heart Failure With Preserved Ejection Fraction: Model Development and Validation Study

Authors of this article:

Xiaomeng Yang1, 2, 3 Author Orcid Image ;   Zeyan Li1, 2, 3 Author Orcid Image ;   Lei Lei4 Author Orcid Image ;   Xiaoyu Shi1, 2, 3 Author Orcid Image ;   Dingming Zhang5 Author Orcid Image ;   Fei Zhou6, 7 Author Orcid Image ;   Wenjing Li6, 7 Author Orcid Image ;   Tianyou Xu1, 2, 3 Author Orcid Image ;   Xinyu Liu1, 2, 3 Author Orcid Image ;   Songyun Wang1, 2, 3, 8 Author Orcid Image ;   Quan Yuan9, 10 Author Orcid Image ;   Jian Yang6, 7 Author Orcid Image ;   Xinyu Wang8, 11 Author Orcid Image ;   Yanfei Zhong4, 8 Author Orcid Image ;   Lilei Yu1, 2, 3, 8 Author Orcid Image
Article Authors Cited by (1) Tweetations (1) Metrics

Journals

  1. Liu X, Xu T, Sang W, Li Z, Yang X, Wang Y, Zhou X, Jiang H, Yu L. Advancing coronary artery disease risk stratification: integrating hyperspectral imaging with machine learning for precision cardiology. Future Cardiology 2025:1 View