Human-AI Cooperation in Healthcare and Rehabilitation

Abstract

Rehabilitation after injury or to manage chronic health conditions requires continuous reassessment and intervention across time scales ranging from seconds to months. Advances in sensors and data collection, coupled with new technology to administer interventions, create numerous possibilities-including at-home care. The increased capabilities enable automated analysis and control using artificial intelligence (AI). In this essay, we analyze the need, the potential and the requirements for an intense and enduring physical human-AI cooperation framework, i.e., a symbiosis, where both AI and humans contribute to realize improved solutions. The focus is the development of knowledge and expertise to realize a new generation of AI-enabled therapy for the next decades. With an aging population, prevalence of stroke and chronic diseases, there is a demand for more efficient and effective rehabilitation powered by human-AI cooperation, especially in cases that enable remote participation in areas with limited access. This essay analyzes how the potential for advances in human-AI cooperation can impact rehabilitation in Delaware.

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