Home ›
Entities
› academia
› Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions
Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions
Research article (Frontiers in Artificial Intelligence, 2024) · cited 17× · AI/ML
Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions
Summary
Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions is a scholarly article[1].
Key Facts
Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions. Retrieved May 24, 2026, from https://4ort.xyz/entity/artificial-intelligence-approaches-for-tinnitus-diagnosis-leveraging-high-frequency-audiometry-data-for-enhanced-clinica
MLA“Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/artificial-intelligence-approaches-for-tinnitus-diagnosis-leveraging-high-frequency-audiometry-data-for-enhanced-clinica.
BibTeX@misc{4ortxyz_artificial-intelligence-approaches-for-tinnitus-diagnosis-leveraging-high-frequency-audiometry-data-for-enhanced-clinica_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions}}, year = {2026}, url = {https://4ort.xyz/entity/artificial-intelligence-approaches-for-tinnitus-diagnosis-leveraging-high-frequency-audiometry-data-for-enhanced-clinica}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Artificial intelligence approaches for tinnitus diagnosis: leveraging high-frequency audiometry data for enhanced clinical predictions — https://4ort.xyz/entity/artificial-intelligence-approaches-for-tinnitus-diagnosis-leveraging-high-frequency-audiometry-data-for-enhanced-clinica (retrieved 2026-05-24)
