Cargando…
Image-Based Artificial Intelligence Technology for Diagnosing Middle Ear Diseases: A Systematic Review
Otolaryngological diagnoses, such as otitis media, are traditionally performed using endoscopy, wherein diagnostic accuracy can be subjective and vary among clinicians. The integration of objective tools, like artificial intelligence (AI), could potentially improve the diagnostic process by minimizi...
Autores principales: | Song, Dahye, Kim, Taewan, Lee, Yeonjoon, Kim, Jaeyoung |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531728/ https://www.ncbi.nlm.nih.gov/pubmed/37762772 http://dx.doi.org/10.3390/jcm12185831 |
Ejemplares similares
-
Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review
por: de Freitas, Maurício Pasetto, et al.
Publicado: (2022) -
Artificial intelligence and machine learning on diagnosis and classification of hip fracture: systematic review
por: Cha, Yonghan, et al.
Publicado: (2022) -
Current Status and Future of Artificial Intelligence in MM Imaging: A Systematic Review
por: Alipour, Ehsan, et al.
Publicado: (2023) -
Accuracy of Artificial Intelligence-Based Technologies for the Diagnosis of Atrial Fibrillation: A Systematic Review and Meta-Analysis
por: Manetas-Stavrakakis, Nikolaos, et al.
Publicado: (2023) -
Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review
por: Alshagathrh, Fahad Muflih, et al.
Publicado: (2022)