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Detecting middle ear fluid using smartphones

Published:2019-05-15 Issue:492 Volume:11 Page:
ISSN:1946-6234
Container-title:Science Translational Medicine
language:en
Short-container-title:Sci. Transl. Med.

Author:

Chan Justin¹^ORCID,Raju Sharat²³^ORCID,Nandakumar Rajalakshmi¹^ORCID,Bly Randall²³,Gollakota Shyamnath¹^ORCID

Affiliation:

1. Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195, USA.

2. Department of Otolaryngology—Head and Neck Surgery, University of Washington, Seattle, WA 98195, USA.

3. Seattle Children’s Hospital and Research Institute, Seattle, WA 98105, USA.

Abstract

To diagnose otitis media, a smartphone system detects middle ear fluid using the built-in microphone and speakers.

Funder

National Science Foundation

National Institutes of Health

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Reference37 articles.

1. The Diagnosis and Management of Acute Otitis Media

2. D. Bowyer Complications of Otitis Media (CRC Press 2015).

3. J. Acuin Chronic Suppurative Otitis Media: Burden of Illness and Management Options (World Health Organization 2004).

4. Update on otitis media—Prevention and treatment;Qureishi A.;Infect. Drug Resist.,2014

5. Clinical Practice Guideline: Otitis Media with Effusion (Update)

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1. Artificial Intelligence and Pediatric Otolaryngology;Otolaryngologic Clinics of North America;2024-10

2. Development and validation of a smartphone-based deep-learning-enabled system to detect middle-ear conditions in otoscopic images;npj Digital Medicine;2024-06-20

3. Smartphone-Based Artificial Intelligence for the Detection and Diagnosis of Pediatric Diseases: A Comprehensive Review;Bioengineering;2024-06-19

4. Intelligent Earable Systems for Equitable Health;GetMobile: Mobile Computing and Communications;2024-01-08

5. Artificial Intelligence With Deep Learning Based Automated Ear Infection Detection;IEEE Access;2024

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