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Combining Signals from Multiple Modalities for Remote Assessment of Neurological and Mental Health
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.
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.