REVIEW ARTICLE |
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Year : 2023 | Volume
: 13
| Issue : 1 | Page : 17-22 |
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A mini-review of pathological voice recognition
Mohammad Ali Saghiri1, Chun Kai Tang2, Ali Mohammad Saghiri3, Elham Samadi4
1 Department of Restorative Dentistry, Rutgers School of Dental Medicine, Newark; Rutgers Biomedical Engineering Department, Rutgers University, Piscataway, NJ, USA 2 Department of Restorative Dentistry, Rutgers School of Dental Medicine, Newark, NJ, USA 3 Stevens Institute of Technology, Hoboken, NJ, USA 4 Dr. Hajar Afsar Lajevardi Dental Material and Devices Group, Hackensack, NJ, USA
Correspondence Address:
Dr. Mohammad Ali Saghiri Director of Biomaterials Lab, Rutgers School of Dental Medicine, Newark, NJ 07103 USA
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/aihb.aihb_151_22
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The aim of this review is to examine various pathological conditions that impact the voice and how these features can be used in their diagnosis. An electronic search of PubMed and Google Scholar was performed for the articles published between January 2000 and July 2022 using the keywords found in the Medical Subject Headings database along with PubMed regarding diseases affecting voice. Our preliminary search result identified 608 articles using the keywords mentioned below. Among those, 12 articles met the inclusion criteria set for this review. Voice analysis can prove to be the missing link in the study and early detection of diseases. Using multiple voice attributes to cross-reference and diagnose conditions has excellent potential to fasten the process and significantly improve the diagnosis and treatment of various diseases.
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