A digital tool for monitoring speech decline in ALS

用于监测 ALS 言语衰退的数字工具

• 批准号: 10482581
• 负责人: JORDAN R GREEN
• 金额: $ 33.28万
• 依托单位: MODALITY.AI , INC
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10482581
• 关键词: ALS patients; Address; Adoption; Adult; Adverse effects; Affect; Amyotrophic Lateral Sclerosis; Area; Artificial Intelligence; Assessment tool; COVID-19 pandemic; Caring; Cellular Phone; Characteristics; Clinical; Clinical Trials; Communication; Computers; Data; Data Analyses; Data Collection; Deglutition; Development; Devices; Diagnosis; Diagnostic; Diagnostic tests; Disease; Early Diagnosis; Effectiveness; Ensure; Goals; Head and neck structure; Health Personnel; Health Professional; Healthcare; Heterogeneity; Impairment; Individual; Internet; Intervention; Intuition; Laboratories; Language; Learning; Machine Learning; Measurement; Measures; Modality; Monitor; Motor; Motor Neuron Disease; National Institute on Deafness and Other Communication Disorders; Neurodegenerative Disorders; Neurologic; Online Systems; Operating System; Outcome; Palliative Care; Participant; Pathologist; Patients; Pattern; Persons; Pharmacologic Substance; Phase; Psychological Impact; Quality of Care; Quality of life; Research; Resolution; Risk; Running; Sensitivity and Specificity; Services; Severities; Small Business Technology Transfer Research; Social Impacts; Speech; Strategic Planning; Surveys; Symptoms; System; Tablets; Target Populations; Technology; Testing; Time; Training; Travel; Treatment outcome; Underserved Population; United States National Institutes of Health; Video Recording; Vulnerable Populations; Work; accurate diagnosis; base; behavioral clinical trial; behavioral pharmacology; cohort; cost; data quality; diagnostic accuracy; diagnostic tool; digital; experience; handheld mobile device; improved; innovative technologies; instrumentation; laptop; limb loss; novel; performance tests; programs; response; routine practice; service delivery; speech accuracy; standard care; success; telehealth; tool; usability

PROJECT SUMMARY Amyotrophic Lateral Sclerosis (ALS) is a fatal neurodegenerative disease resulting in the progressive loss of limb, trunk, and head and neck (bulbar) motor function and is the most common adult-onset motor neuron disease. The disease is characterized by significant across-patient heterogeneity in the onset region and in pattern and progression rate, making early and accurate diagnosis difficult. Most individuals with ALS will eventually acquire bulbar symptoms, including a loss of speech and swallowing. The social and psychological impact of communication loss on the quality of life of patients with ALS is significant and a diagnostic tool to detect these changes early, accurately, and easily remains unmet. Moreover, improved speech testing tools are critically needed in ALS to (1) improve diagnostic testing and monitoring, and (2) expediting clinical trials of behavioral and pharmacologic interventions. Although speech testing is a core component of many neurological assessment batteries, few commercial digital speech monitoring tools have been developed or scientifically validated, especially for ALS. This project aims to develop and scientifically validate a digital speech assessment tool – the Modality Digital Speech Monitoring Tool (M- DSMT) - for monitoring speech decline due to ALS. The M-DSMT is fully automated, online, objective, scalable, accessible, and is used in real-time. The tool is operating-system and device-agnostic, running on commercially available laptops, tablets, or smartphones. Therefore, if demonstrated to be effective, the proposed tool can be rapidly commercialized and deployed into standard care and clinical trials for ALS. Our specific aims are to (1) optimize the quality and yield of remote audio and video recordings for automated measurement, (2) determine the analytical validity of the M-DSMT, (3) determine the clinical validity of the M-DSMT, and (4) determine the usability of the M-DSMT. This project's objectives are to improve diagnosis for patients with ALS, decrease costs of speech assessment, and allow patients who have difficulty traveling to continue to have access to regular speech assessments. Ultimately, we aim to improve the quality of care in persons with ALS and facilitate ongoing efforts to discover a cure for this fatal disease through the development of this innovative technology.

项目总结