Advances in Fourier infrared spectroscopy for noninvasive diagnosis of diabetes mellitus: Analysis and prospects for application based on blood, urine and saliva samples DOI
Jing Yin, Guangwei Wang, Xianwen Zhang

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 207, P. 111764 - 111764

Published: Sept. 24, 2024

Language: Английский

Salivary Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy Combined with Chemometric Analysis: A Potential Point-of-Care Approach for Chronic Kidney Disease Screening DOI Creative Commons

Kamonchanok Tangwanichgapong,

Poramaporn Klanrit,

Patutong Chatchawal

et al.

Photodiagnosis and Photodynamic Therapy, Journal Year: 2025, Volume and Issue: unknown, P. 104502 - 104502

Published: Jan. 1, 2025

Language: Английский

Citations

1

Emerging Applications of Digital Technologies for Periodontal Screening, Diagnosis and Prognosis in the Dental Setting DOI Open Access
Roberto Fariña, Anna Simonelli, Leonardo Trombelli

et al.

Journal Of Clinical Periodontology, Journal Year: 2025, Volume and Issue: unknown

Published: March 19, 2025

ABSTRACT Aim To comprehensively review digital technologies (including artificial intelligence, AI) for periodontal screening, diagnosis and prognosis in the dental setting, focusing on accuracy metrics. Materials Methods Two separate literature searches were conducted screening (part I, scoping review) II, systematic approach). PubMed, Scopus Embase databases searched. Results In part 40 studies evaluated AI advanced imaging different substrata. The combination of with 2D radiographs was most frequently investigated demonstrated a high level periodontitis detection stage definition. eight studies, identified as having risk bias, tested supervised machine learning models using 6–74 predictors. variable predictive accuracy, often outperforming traditional assessment tools classical statistical few evaluating such comparisons. Conclusions techniques are promising although evidence remains inconsistent inconclusive. addition, AI‐driven analysis (for staging periodontitis), neural networks aggregation multiple algorithms predicting tooth‐related outcomes) appear to be approaches entering clinical application.

Language: Английский

Citations

1

Warburg effect in malign thyroid tissue evidenced using FTIR spectroscopy DOI
Adriana Martínez-Cuazitl, Mónica Maribel Mata-Miranda,

Edgar Hernandez-Abarca

et al.

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2025, Volume and Issue: unknown, P. 126281 - 126281

Published: April 1, 2025

Language: Английский

Citations

0

Comment on “Infrared spectroscopy for fast screening of diabetes and periodontitis” DOI Creative Commons
Ivan А. Bratchenko, Lyudmila A. Bratchenko

Photodiagnosis and Photodynamic Therapy, Journal Year: 2024, Volume and Issue: 49, P. 104276 - 104276

Published: July 14, 2024

This article discusses a recent research paper by da Silva et al [12] on screening diabetes and periodontitis means of the in vitro infrared spectroscopic analysis human saliva which was published Photodiagnosis Photodynamic Therapy journal. Despite reported high performance suggested approach, demonstrated findings could be treated as unclear due to possible drawbacks classification models validation. The data need provided both for training set validation make sure that there is no repeated from same sample sets.

Language: Английский

Citations

0

Advances in Fourier infrared spectroscopy for noninvasive diagnosis of diabetes mellitus: Analysis and prospects for application based on blood, urine and saliva samples DOI
Jing Yin, Guangwei Wang, Xianwen Zhang

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: 207, P. 111764 - 111764

Published: Sept. 24, 2024

Language: Английский

Citations

0