Evidence map›Paper›PMID 35624970›Full record

ArticleBrain sciences2022

Algorithm-Based Hearing and Speech Therapy Rehabilitation after Cochlear Implantation.

Theda Eichler, Wiebke Rötz, Christoph Kayser, Felix Bröhl, Michael Römer, Arne Henning Witteborg, Franz Kummert, Tobias Sandmeier, Christoph Schulte, Patricia Stolz and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Theda EichlerDepartment of Otolaryngology, Head and Neck Surgery, Medical School OWL, Campus Bielefeld Mitte, Bielefeld University, 33604 Bielefeld, Germany.
Wiebke RötzDepartment of Otolaryngology, Head and Neck Surgery, Medical School OWL, Campus Bielefeld Mitte, Bielefeld University, 33604 Bielefeld, Germany.
Christoph KayserFaculty of Biology, Cognitive Neuroscience, Bielefeld University, 33615 Bielefeld, Germany.
Felix BröhlFaculty of Biology, Cognitive Neuroscience, Bielefeld University, 33615 Bielefeld, Germany.
Michael RömerFaculty of Economics, Decision Analytics, Bielefeld University, 33615 Bielefeld, Germany.
Arne Henning WitteborgFaculty of Economics, Decision Analytics, Bielefeld University, 33615 Bielefeld, Germany.ORCID 0000-0001-9269-4617
Franz KummertResearch Institute for Cognition and Robotics, Bielefeld University, 33615 Bielefeld, Germany.
Tobias SandmeierResearch Institute for Cognition and Robotics, Bielefeld University, 33615 Bielefeld, Germany.
Christoph SchulteResearch Institute for Cognition and Robotics, Bielefeld University, 33615 Bielefeld, Germany.
Patricia StolzDepartment of Design, University of Applied Science, 33619 Bielefeld, Germany.
Katharina MeyerDepartment of Design, University of Applied Science, 33619 Bielefeld, Germany.
Holger SudhoffDepartment of Otolaryngology, Head and Neck Surgery, Medical School OWL, Campus Bielefeld Mitte, Bielefeld University, 33604 Bielefeld, Germany.ORCID 0000-0002-9274-5645
Ingo TodtDepartment of Otolaryngology, Head and Neck Surgery, Medical School OWL, Campus Bielefeld Mitte, Bielefeld University, 33604 Bielefeld, Germany.
Bielefeld University · DEHochschule Bielefeld · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDue to the changes in the indication range for cochlear implants and the demographic development towards an aging society, more and more people are in receipt of cochlear implants. An implantation requires a close-meshed audiological and logopedic aftercare. Hearing therapy rehabilitation currently requires great personnel effort and is time consuming. Hearing and speech therapy rehabilitation can be supported by digital hearing training programs. However, the apps currently on the market are to a limited degree personalized and structured. Increasing digitalization makes it possible, especially in times of pandemics, to decouple hearing therapy treatment from everyday clinical practice. MATERIAL AND

methodsFor this purpose, an app is in development that provides hearing therapy tailored to the patient. The individual factors that influence hearing outcome are considered. Using intelligent algorithms, the app determines the selection of exercises, the level of difficulty and the speed at which the difficulty is increased.

resultsThe app works autonomously without being connected to local speech therapists. In addition, the app is able to analyze patient difficulties within the exercises and provides conclusions about the need for technical adjustments.

conclusionsThe presented newly developed app represents a possibility to support, replace, expand and improve the classic outpatient hearing and speech therapy after CI implantation. The way the application works allows it to reach more people and provide a time- and cost-saving alternative to traditional therapy.

Indexed as

artificial intelligencecochlear implanthearing and speech therapyrehabilitation

Identifiers

PMID35624970
PMCPMC9139523
OpenAlexW4225127941

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.