Smartphone‐Enabled Otoscopy in Neurotology/Otology

Moshtaghi, Omid; Sahyouni, Ronald; Haidar, Yarah M.; Huang, Melissa; Moshtaghi, Afsheen; Ghavami, Yaser; Lin, Harrison W.; Djalilian, Hamid R.

doi:10.1177/0194599816687740

Cited by 56 publications

(60 citation statements)

References 15 publications

(24 reference statements)

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“…A major benefit of using smartphones is that they can be coupled with other devices allowing otoscopy to be utilized on the same platform. Smartphone‐enabled otoscopes can easily capture images of the ear canal and tympanic membrane and save them to be shared and referenced in the future . Furthermore, other smartphone attachments may facilitate other CHW‐driven screening on the same platform, including vision screening.…”

Section: Discussionmentioning

confidence: 99%

“…Programs using calibrated headphones, tablet computers, and smartphones have been clinically validated in collecting accurate audiometric thresholds in pediatric populations . Specialized cameras have also been developed for smartphone applications to provide reliable otoscopic imaging as a proxy for physical examination, which is used for diagnostics and medical decision‐making for hearing loss …”

Section: Introductionmentioning

confidence: 99%

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Community health worker‐based hearing screening on a mobile platform: A scalable protocol piloted in Haiti

Jayawardena

Nassiri

Levy

et al. 2020

Laryngoscope Investig Oto

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Objective: To establish the feasibility of a systematic, community health worker (CHW)-based hearing screening program that gathers Health Insurance Portability and Accountability Act-compliant electronic data (otoscopic images of tympanic membrane and audiometric evaluation) on a smartphone in an effort to streamline treatment options in resource-limited communities.Methods: This is a cross-sectional study in which four schools were screened in Portau-Prince, Haiti, during in April 2018. A total of 122 subjects (61% female) aged 5-17 years underwent an initial brief audiometric screen followed by a more comprehensive air conduction audiometric evaluation if they failed their initial screen. Participants with more than 35-dB loss in any frequency on their comprehensive audiometric evaluation received endoscopic otoscopy.Results: Seventy-five percent of subjects (91/122) passed their initial screen. Of those who failed, 9% (4/44 ears) had a severe or profound hearing loss on comprehensive evaluation. Abnormal otoscopic findings (11/36 ears, 31%) included are cerumen impaction (n = 6), myringosclerosis (n = 3), tympanic membrane perforation (n = 1), and tympanic membrane retraction (n = 1). The average duration of the initial testing was 100 seconds (SD = 74 seconds), whereas the duration of comprehensive testing was 394 seconds (SD = 175 seconds). Extrapolating from these data, we estimate that a group of seven trained CHWs could gather formal audiologic and otologic data points for 100 children per hour using this protocol.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Community health worker‐based hearing screening on a mobile platform: A scalable protocol piloted in Haiti

Jayawardena

Nassiri

Levy

et al. 2020

Laryngoscope Investig Oto

View full text Add to dashboard Cite

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“…It has been reported that pediatricians and otolaryngologists provide an accurate diagnosis of middle ear pathology in only 50% and 73% cases, respectively [17]. Some studies reported a diagnostic accuracy among otologists of 72-82% [18,19].…”

Section: Discussionmentioning

confidence: 99%

Automated Classification of the Tympanic Membrane Using a Convolutional Neural Network

2019

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Precise evaluation of the tympanic membrane (TM) is required for accurate diagnosis of middle ear diseases. However, making an accurate assessment is sometimes difficult. Artificial intelligence is often employed for image processing, especially for performing high level analysis such as image classification, segmentation and matching. In particular, convolutional neural networks (CNNs) are increasingly used in medical image recognition. This study demonstrates the usefulness and reliability of CNNs in recognizing the side and perforation of TMs in medical images. CNN was constructed with typically six layers. After random assignment of the available images to the training, validation and test sets, training was performed. The accuracy of the CNN model was consequently evaluated using a new dataset. A class activation map (CAM) was used to evaluate feature extraction. The CNN model accuracy of detecting the TM side in the test dataset was 97.9%, whereas that of detecting the presence of perforation was 91.0%. The side of the TM and the presence of a perforation affect the activation sites. The results show that CNNs can be a useful tool for classifying TM lesions and identifying TM sides. Further research is required to consider real-time analysis and to improve classification accuracy.

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“…For this purpose, however, always a special adapter to be fixed to the usual endoscope or otoscope has to be applied. A total of 5 studies could be identified that described the use of smartphones for imaging in otorhinolaryngology [44][45][46][47][48]. Two papers compared the quality of the images with classic procedures.…”

Section: Studies On Apps Referring To Tinnitusmentioning

confidence: 99%

“…Two papers compared the quality of the images with classic procedures. In both studies, a high quality of the app-based imaging could be revealed which fosters the use of smartphones for endoscopic examinations in clinical routine [47,48]. Another publication described the possible application of the devices by non-experts, e. g. parents, for telemedical findings [45].…”

Section: Studies On Apps Referring To Tinnitusmentioning

confidence: 99%

Medizinische Apps in der HNO-Heilkunde

Rak¹,

Völker²,

Taeger³

et al. 2019

Laryngo-Rhino-Otol

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ZUsAmmenfAssUng Die Nutzung mobiler Informations-und Kommunikationstechnologie im Kontext medizinscher und gesundheitsnaher Dienstleistungen, z. B. in Form von Apps, gewinnt, leider jedoch häufig unter Missachtung notwendiger Qualitätskriterien, immer mehr an Bedeutung. So erscheint es wichtig, dass neben einer die Anwendungssoftware kontrollierenden Instanz möglichst hoch qualifizierte Akteure des Gesundheitswesens bei der Erstellung mitwirken. Schon aus Haftungsgründen muss der beratende Arzt eine hohe Sorgfalt bei der Auswahl und Empfehlung einer App walten lassen, gerade auch in Anbetracht der Tatsache, dass nur wenige Apps als Medizinprodukt zertifiziert sind. Auf dem Markt gibt es eine große Anzahl an medizinischen Apps, wobei nur ein geringer Anteil dieser auf den Fachbereich HNO-Heilkunde entfällt. Prozentual sind die Teilbereiche Audiologie, Schlafmedizin und Allergologie am häufigsten vertreten. Obwohl sich der Fachbereich der HNO-Heilkunde zunehmend mit dieser Thematik wissenschaftlich auseinandersetzt, fehlt, wie generell bei vielen medizinischen Apps, eine wissenschaftliche Evidenz der Inhalte und Ergebnisse. Es gibt jedoch für Anwender weitere Möglichkeiten, medizinische Apps nach definierten Qualitätskriterien in verschiedenen Kategorien, wie z. B. Funktionalität, Wissenschaftlichkeit, aber auch Datenschutz, zu beurteilen. Keine der mittels eines solchen Bewertungstools evaluierten Apps erfüllte alle geforderten Kriterien, dem Anwender steht jedoch hiermit ein Instrument zur besseren Einschätzung der Anwendungssoftware zur Verfügung. Im Rahmen des Entwicklungsprozesses einer medizinischen App für den HNO-Bereich war es jedoch möglich, die Qualitätskriterien zu berücksichtigen. Zusammenfassend soll die vorliegende Arbeit einen Überblick über Thema "Apps in der HNO-Heilkunde" ermöglichen mit dem Ziel, dieses moderne Hilfsmittel nutzbringend einsetzen zu können. ABsTRAcTThe implementation of mobile information and communication technology in the field of health services, e. g. in the form of apps, is becoming increasingly important. Unfortunately, the necessary quality criteria are often mising. Thus, it seems important, that in addition to an app controlling authority highly qualified health care professionals participate in the development of these applications. For reasons of liability, however, the physician must exercise great caution in the selection and recommendation of medical apps, especially considering, that only a few apps are certified as medical devices. There are a large number of medical apps on the market, with only a small proportion being assigned to the field of otorhinolaryngology. The areas of audiology, sleep medicine and allergology are most frequently represented. Althouhgh there is increasing scientific work on this topic in the field of otorhinolaryngology, there is a lack of scientific evidence of contents and results, as is generally the case of medical apps.However, there are other possibilities for users to rate medical apps regarding defined qualitiy criteria such as f...

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Smartphone‐Enabled Otoscopy in Neurotology/Otology

Cited by 56 publications

References 15 publications

Community health worker‐based hearing screening on a mobile platform: A scalable protocol piloted in Haiti

Community health worker‐based hearing screening on a mobile platform: A scalable protocol piloted in Haiti

Automated Classification of the Tympanic Membrane Using a Convolutional Neural Network

Medizinische Apps in der HNO-Heilkunde

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