Artificial intelligence–based voice biomarkers for early detection and monitoring of neurological diseases: current evidence, limitations, and clinical perspectives
- DOI
- 10.1016/j.compbiomed.2026.112041
- Published
- 2026-11
- Container
- Computers in Biology and Medicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.compbiomed.2026.112041,
title = {Artificial intelligence–based voice biomarkers for early detection and monitoring of neurological diseases: current evidence, limitations, and clinical perspectives},
author = {Livia Ramos Santiago and Imam Malik Kabir and Vitória Stephani Hasbahr and Lázaro Mateus Megre Timoteo and Edgar Alejandro Pinos Tamayo and Hizana Ricci Gontijo Hadad and Luciana Vieira Muniz and Luciana Xavier Pereira and Princella Halim and Fahrul Nurkolis and Rony Abdi Syahputra and Rosy Iara Maciel de Azambuja Ribeiro},
year = {2026},
journal = {Computers in Biology and Medicine},
doi = {10.1016/j.compbiomed.2026.112041},
url = {https://doi.org/10.1016/j.compbiomed.2026.112041}
}RIS
TY - JOUR TI - Artificial intelligence–based voice biomarkers for early detection and monitoring of neurological diseases: current evidence, limitations, and clinical perspectives AU - Livia Ramos Santiago AU - Imam Malik Kabir AU - Vitória Stephani Hasbahr AU - Lázaro Mateus Megre Timoteo AU - Edgar Alejandro Pinos Tamayo AU - Hizana Ricci Gontijo Hadad AU - Luciana Vieira Muniz AU - Luciana Xavier Pereira AU - Princella Halim AU - Fahrul Nurkolis AU - Rony Abdi Syahputra AU - Rosy Iara Maciel de Azambuja Ribeiro PY - 2026 JO - Computers in Biology and Medicine DO - 10.1016/j.compbiomed.2026.112041 UR - https://doi.org/10.1016/j.compbiomed.2026.112041 ER -
APA
Santiago, L. R., Kabir, I. M., Hasbahr, V. S., Timoteo, L. M. M., Tamayo, E. A. P., Hadad, H. R. G., Muniz, L. V., Pereira, L. X., Halim, P., Nurkolis, F., Syahputra, R. A., & Ribeiro, R. I. M. D. A. (2026). Artificial intelligence–based voice biomarkers for early detection and monitoring of neurological diseases: current evidence, limitations, and clinical perspectives. Computers in Biology and Medicine. https://doi.org/10.1016/j.compbiomed.2026.112041
Source records
- crossref · retrieved 2026-11-06T12:13:42.689Z