Cargando…

Smartphone-based artificial intelligence using a transfer learning algorithm for the detection and diagnosis of middle ear diseases: A retrospective deep learning study

BACKGROUND: Middle ear diseases such as otitis media and middle ear effusion, for which diagnoses are often delayed or misdiagnosed, are among the most common issues faced by clinicians providing primary care for children and adolescents. Artificial intelligence (AI) has the potential to assist clin...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Yen-Chi, Chu, Yuan-Chia, Huang, Chii-Yuan, Lee, Yen-Ting, Lee, Wen-Ya, Hsu, Chien-Yeh, Yang, Albert C., Liao, Wen-Huei, Cheng, Yen-Fu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2022
Materias:	Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287624/ https://www.ncbi.nlm.nih.gov/pubmed/35856040 http://dx.doi.org/10.1016/j.eclinm.2022.101543

Ejemplares similares

Smartphone-Enabled versus Conventional Otoscopy in Detecting Middle Ear Disease: A Meta-Analysis
por: Chen, Chih-Hao, et al.
Publicado: (2022)

Smartphone-Based Artificial Intelligence–Assisted Prediction for Eyelid Measurements: Algorithm Development and Observational Validation Study
por: Chen, Hung-Chang, et al.
Publicado: (2021)

Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models
por: Yang, Chia-Yen, et al.
Publicado: (2023)

Application of artificial intelligence ensemble learning model in early prediction of atrial fibrillation
por: Wu, Cai, et al.
Publicado: (2021)

Artificial Intelligence Learning Semantics via External Resources for Classifying Diagnosis Codes in Discharge Notes
por: Lin, Chin, et al.
Publicado: (2017)

Mobile artificial intelligence projects: develop seven projects on your smartphone using artificial intelligence and deep learning techniques
por: Karthikeyan NG, et al.
Publicado: (2019)

The impact of smartphone use on learning effectiveness: A case study of primary school students
por: Wang, Jen Chun, et al.
Publicado: (2022)

Image-Based Artificial Intelligence Technology for Diagnosing Middle Ear Diseases: A Systematic Review
por: Song, Dahye, et al.
Publicado: (2023)

Empowering local communities using artificial intelligence
por: Hsu, Yen-Chia, et al.
Publicado: (2022)

Artificial Intelligence and Machine Learning for Safe Medicines
por: Bate, Andrew, et al.
Publicado: (2022)

Diagnostic Accuracy of Smartphone-Based Audiometry for Hearing Loss Detection: Meta-analysis
por: Chen, Chih-Hao, et al.
Publicado: (2021)

Using Transfer Learning Method to Develop an Artificial Intelligence Assisted Triaging for Endotracheal Tube Position on Chest X-ray
por: Yuan, Kuo-Ching, et al.
Publicado: (2021)

Machine-Learning Algorithm for Predicting Fatty Liver Disease in a Taiwanese Population
por: Chen, Yang-Yuan, et al.
Publicado: (2022)

Ensembles of Deep Learning Models and Transfer Learning for Ear Recognition
por: Alshazly, Hammam, et al.
Publicado: (2019)

Predict Early Recurrence of Resectable Hepatocellular Carcinoma Using Multi-Dimensional Artificial Intelligence Analysis of Liver Fibrosis
por: Liu, I-Ting, et al.
Publicado: (2021)

Evaluation of an artificial intelligent hydrocephalus diagnosis model based on transfer learning
por: Duan, Weike, et al.
Publicado: (2020)

Smartphone Integration of Artificial Intelligence for Automated Plagiocephaly Diagnosis
por: Watt, Ayden, et al.
Publicado: (2023)

Developing a Reading Concentration Monitoring System by Applying an Artificial Bee Colony Algorithm to E-Books in an Intelligent Classroom
por: Hsu, Chia-Cheng, et al.
Publicado: (2012)

Can Emotional Intelligence Be Fostered? The Perspective of Social Learning Theory
por: Yen, Show-Jane
Publicado: (2022)

A Smartphone-Based Approach to Screening for Sudden Sensorineural Hearing Loss: Cross-Sectional Validity Study
por: Lin, Heng-Yu Haley, et al.
Publicado: (2020)

Artificial intelligence and deep learning in ophthalmology
por: Ting, Daniel Shu Wei, et al.
Publicado: (2019)

Artificial intelligence, machine learning, and deep learning
por: Campesato, Oswald
Publicado: (2020)

Developing a novel meatal areolar tissue autograft for minimally invasive tympanoplasty
por: Chen, Yen-Chi, et al.
Publicado: (2020)

The perceptions of automated artificial intelligence-powered clinical documentation assisted in dentistry
por: Yu, Yen-Cheng, et al.
Publicado: (2023)

Application of the deep learning for the prediction of rainfall in Southern Taiwan
por: Yen, Meng-Hua, et al.
Publicado: (2019)

Artificial intelligence and learning environments /
Publicado: (1990)

Machine learning and artificial intelligence
por: Joshi, Ameet V
Publicado: (2019)

Editorial for the special issue on “Transforming public health through artificial intelligence, machine learning and internet of things”
por: Tsai, Sang-Bing, et al.
Publicado: (2022)

Automatic Machine-Learning-Based Outcome Prediction in Patients With Primary Intracerebral Hemorrhage
por: Wang, Hsueh-Lin, et al.
Publicado: (2019)

Improving detection of impacted animal bones on lateral neck radiograph using a deep learning artificial intelligence algorithm
por: Chen, Yueh-Sheng, et al.
Publicado: (2023)

A novelty route for smartphone-based artificial intelligence approach to ophthalmic screening
por: Jheng, Ying-Chun, et al.
Publicado: (2020)

Artificial intelligence driven by machine learning and deep learning
por: Zohuri, Bahman, et al.
Publicado: (2020)

Smartphone-bundled earphones as personal sound amplification products in adults with sensorineural hearing loss
por: Lin, Heng-Yu Haley, et al.
Publicado: (2022)

Application of Artificial Intelligence in Lung Cancer
por: Chiu, Hwa-Yen, et al.
Publicado: (2022)

The relationships between the medical learners’ motivations and strategies to learning medicine and learning outcomes
por: Liang, Jyh-Chong, et al.
Publicado: (2018)

An Assistive Role of a Machine Learning Network in Diagnosis of Middle Ear Diseases
por: Byun, Hayoung, et al.
Publicado: (2021)

Development and accuracy of an artificial intelligence algorithm for acne grading from smartphone photographs
por: Seité, Sophie, et al.
Publicado: (2019)

Medios– An offline, smartphone-based artificial intelligence algorithm for the diagnosis of diabetic retinopathy
por: Sosale, Bhavana, et al.
Publicado: (2020)

Artificial intelligence and machine learning fundamentals
por: Nagy, Zsolt
Publicado: (2018)

Machine learning: an artificial intelligence approach
por: Anderson, John, et al.
Publicado: (1983)

Cannot write session to /tmp/vufind_sessions/sess_fradva8qo672tf8ncc5rs7od05