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Digital Therapeutics in Hearing Healthcare: Evidence-Based Review.

作者信息

Kim Noori, Nakamura Keisuke Alexander

机构信息

School of Engineering Technology, Purdue University, West Lafayette, IN, USA.

Department of Computer Science, Purdue University, West Lafayette, IN, USA.

出版信息

J Audiol Otol. 2024 Jul;28(3):159-166. doi: 10.7874/jao.2023.00780. Epub 2024 Jul 9.


DOI:10.7874/jao.2023.00780
PMID:38973323
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11273188/
Abstract

Digital therapeutics (DTx) in hearing research have emerged as a new category of therapies providing evidence-based intervention via digital means, such as software, smartphone apps, or websites. However, although relatively new, they are not well-established. In this article, we review DTx technologies in hearing research fields, focusing on three categories: prevention and diagnosis, aid (assistance), and cure (digital medicine). We observe that most DTx systems require interactions with users (or patients) without the direct support of clinical professionals to obtain or collect medical evidence; this makes training (or education) features crucial to the therapy's success. In this view, this article discusses the education or training functions of the current DTx and their contribution and purposes. The impact of emerging artificial intelligence (AI) on DTx in hearing research is being explored, and the future of DTx concerning AI integration is being discussed. We believe that this work will contribute to a better understanding of the current and future DTx technological advancements and, in particular, shed light on the field of hearing research.

摘要

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[1]
Digital Therapeutics in Hearing Healthcare: Evidence-Based Review.

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本文引用的文献

[1]
Barriers to Adoption of Digital Therapeutics (DTx) into Audiology Clinical Practice: Acknowledging the Challenges, Adapting to the Future.

Semin Hear. 2023-6-6

[2]
Artificial intelligence (AI) acceptance in primary care during the coronavirus pandemic: What is the role of patients' gender, age and health awareness? A two-phase pilot study.

Front Public Health. 2022

[3]
Usability, acceptability and clinical utility of a mobile app to screen for hearing loss in older adults in a geriatric rehabilitation hospital.

J Eval Clin Pract. 2023-3

[4]
Design, Manufacture, and Acceptance Evaluation of APO: A Lip-syncing Social Robot Developed for Lip-reading Training Programs.

Int J Soc Robot. 2022-10-28

[5]
Automatic User Preferences Selection of Smart Hearing Aid Using BioAid.

Sensors (Basel). 2022-10-20

[6]
Momentary effects of Temstem, an app for voice-hearing individuals: Results from naturalistic data from 1048 users.

Internet Interv. 2022-10-5

[7]
Hearing Health Care Digital Therapeutics: Patient Satisfaction Evidence.

Am J Audiol. 2022-9-21

[8]
Artificial intelligence and tele-otoscopy: A window into the future of pediatric otology.

Int J Pediatr Otorhinolaryngol. 2022-9

[9]
Web- and app-based tools for remote hearing assessment: a scoping review.

Int J Audiol. 2023-8

[10]
Real-world clinical experience with bimodal neuromodulation for the treatment of tinnitus - A case series.

Brain Stimul. 2022

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