Using artificial intelligence to diagnose 'glue ear' in children

Development of an artificial intelligence system for the automated diagnosis of otitis media with effusion in children

Status

Recruiting

Phases

Unknown

Study type

Interventional

Source

ISRCTN

Registry ID

ISRCTN17082829

Enrollment

125

Registered

2021-09-20

Start date

2022-01-03

Completion date

Unknown

Last updated

2021-10-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Otitis media Ear, Nose and Throat Otitis media, unspecified

Interventions

The study involves a simple, fast, objective, and non-invasive middle ear measurement using a commercialised device called Wideband Absorbance Immittance (WAI) by Interacoustics after the patient comp

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Children under 12 years old attending the clinic due to parental concerns regarding hearing loss or for follow-up appointments after acute otitis media

Exclusion criteria

Exclusion criteria: Children with ventilation tubes in situ

Design outcomes

Primary

Measure	Time frame
The diagnostic accuracy of the novel AI diagnostic tool compared with routine clinical practice measured at a single timepoint	—

Secondary

Measure	Time frame
Energy absorbance of the middle ear measured using the wideband absorbance immittance (WAI) device in different age groups and under various severity conditions in ears with OME at a single timepoint	—

Countries

United Kingdom, Wales

Outcome results

None listed

Source: ISRCTN (via WHO ICTRP) · Data processed: Feb 4, 2026