Multimodal Technologies for Remote Assessment of Neurological and Mental Health.
Purpose: Automated remote assessment and monitoring of patients' neurological and mental health is increasingly becoming an essential component of the digital clinic and telehealth ecosystem, especially after the COVID-19 pandemic. This review article reviews various modalities of health information...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 67; no. 11; pp. 4233 - 4246 |
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| Formato: | Artículo |
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American Speech-Language-Hearing Association
Nov2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=180765735&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 180765735 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Nov2024 vid: 67 iid: 11 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 180765735 10.1044/2024_JSLHR-24-00142 ppf: 4233 ppct: 13 formats: fmt: @attributes: type: P size: 1.1MB tig: atl: Multimodal Technologies for Remote Assessment of Neurological and Mental Health. aug: au: Ramanarayanan, Vikram affil: Modality.AI, Inc., San Francisco, CA Department of Otolaryngology--Head and Neck Surgery, University of California, San Francisco su: Competency assessment (Law) Speech Conversation Health Information resources Group dynamics Communication Cardiopulmonary system physiology Body mass index Brain Natural language processing Telemedicine Neurological disorders Physiological aspects of speech Combined modality therapy Body movement Case studies sug: subj: Competency assessment (Law) Speech Conversation Health Information resources Group dynamics Communication Offices of Mental Health Practitioners (except Physicians) Cardiopulmonary system physiology Body mass index Brain Natural language processing Telemedicine Neurological disorders Physiological aspects of speech Combined modality therapy Body movement Case studies ab: Purpose: Automated remote assessment and monitoring of patients' neurological and mental health is increasingly becoming an essential component of the digital clinic and telehealth ecosystem, especially after the COVID-19 pandemic. This review article reviews various modalities of health information that are useful for developing such remote clinical assessments in the real world at scale. Approach: We first present an overview of the various modalities of health information--speech acoustics, natural language, conversational dynamics, orofacial or full body movement, eye gaze, respiration, cardiopulmonary, and neural --which can each be extracted from various signal sources--audio, video, text, or sensors. We further motivate their clinical utility with examples of how information from each modality can help us characterize how different disorders affect different aspects of patients' spoken communication. We then elucidate the advantages of combining one or more of these modalities toward a more holistic, informative, and robust assessment. Findings: We find that combining multiple modalities of health information allows for improved scientific interpretability, improved performance on downstream health applications such as early detection and progress monitoring, improved technological robustness, and improved user experience. We illustrate how these principles can be leveraged for remote clinical assessment at scale using a real-world case study of the Modality assessment platform. Conclusion: This review article motivates the combination of human-centric information from multiple modalities to measure various aspects of patients' health, arguing that remote clinical assessment that integrates this complementary information can be more effective and lead to better clinical outcomes than using any one data stream in isolation. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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