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A mini-review of pathological voice recognition

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:
Mohammad Ali Saghiri,
Director of Biomaterials Lab, Rutgers School of Dental Medicine, Newark, NJ 07103
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/aihb.aihb_151_22

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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