What is it about?
This paper reviews various modalities of health information that are useful for developing remote clinical assessments in the real world at scale. It argues that combining multiple modalities of health information allows for improved scientific interpretability, improved performance on downstream health applications like early detection and progress monitoring, improved technological robustness and improved user experience (UX). It also illustrates how these principles can be leveraged for remote clinical assessment at scale using a real-world case study of the Modality assessment platform.
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Why is it important?
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 post the COVID-19 pandemic. This paper reviews various modalities of health information that are useful for developing such remote clinical assessments in the real world at scale.
Perspectives
This paper 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.
Vikram Ramanarayanan
Modality.AI, Inc.
Read the Original
This page is a summary of: Multimodal Technologies for Remote Assessment of Neurological and Mental Health, Journal of Speech Language and Hearing Research, July 2024, American Speech-Language-Hearing Association (ASHA),
DOI: 10.1044/2024_jslhr-24-00142.
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