AIMC Topic: Audiology

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Artificial Intelligence in Audiology: A Scoping Review of Current Applications and Future Directions.

Sensors (Basel, Switzerland) Nov 6, 2024
The integration of artificial intelligence (AI) into medical disciplines is rapidly transforming healthcare delivery, with audiology being no exception. By synthesizing the existing literature, this review seeks to inform clinicians, researchers, and...
Humans Neural Networks, Computer Deep Learning Audiology Machine Learning Artificial Intelligence
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Comparison of the Audiological Knowledge of Three Chatbots: ChatGPT, Bing Chat, and Bard.

Audiology & neuro-otology May 6, 2024
INTRODUCTION: The purpose of this study was to evaluate three chatbots - OpenAI ChatGPT, Microsoft Bing Chat (currently Copilot), and Google Bard (currently Gemini) - in terms of their responses to a defined set of audiological questions.
Internet Audiology Humans
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Understanding, experience and attitudes towards artificial intelligence technologies for clinical decision support in hearing health: a mixed-methods survey of healthcare professionals in the UK.

The Journal of laryngology and otology Apr 18, 2024
OBJECTIVES: Clinician acceptance influences technology adoption, but UK health professionals' attitudes towards artificial intelligence (AI) in hearing healthcare are unclear. This study aimed to address this knowledge gap.
Female Adult Artificial Intelligence Surveys and Questionnaires Attitude of Health Personnel Middle Aged Male Audiologists Humans Audiology General Practitioners Decision Support Systems, Clinical United Kingdom Otolaryngologists Hearing Loss Hearing Disorders
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Common Audiological Functional Parameters (CAFPAs) for single patient cases: deriving statistical models from an expert-labelled data set.

International journal of audiology Feb 24, 2020
Statistical knowledge about many patients could be exploited using machine learning to provide supporting information to otolaryngologists and other hearing health care professionals, but needs to be made accessible. The Common Audiological Function...
Audiology Correction of Hearing Impairment Datasets as Topic Hearing Tests Models, Statistical Expert Systems Humans Reproducibility of Results Databases, Factual Probability Data Interpretation, Statistical
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Temporal bone radiology report classification using open source machine learning and natural langue processing libraries.

BMC medical informatics and decision making Jun 6, 2016
BACKGROUND: Radiology reports are a rich resource for biomedical research. Prior to utilization, trained experts must manually review reports to identify discrete outcomes. The Audiological and Genetic Database (AudGenDB) is a public, de-identified r...
Databases as Topic Humans Temporal Bone Audiology Natural Language Processing Machine Learning Radiology
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Common Audiological Functional Parameters (CAFPAs): statistical and compact representation of rehabilitative audiological classification based on expert knowledge.

International journal of audiology Apr 1, 2019
OBJECTIVE: As a step towards objectifying audiological rehabilitation and providing comparability between different test batteries and clinics, the Common Audiological Functional Parameters (CAFPAs) were introduced as a common and abstract representa...
Hearing Tests Expert Systems Correction of Hearing Impairment Audiology Data Interpretation, Statistical Machine Learning Probability Reproducibility of Results Predictive Value of Tests Humans Hearing Disorders
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