AI innovations in healthcare have produced significant advances supporting the diagnosis and treatment of disease, but relatively little research has explored the potential of AI technologies for understanding and helping to improve people's experience of function and disability.
Disability is a near-universal experience: one in four adults worldwide have been estimated to experience long-term disability, and many more experience temporary disability due to illness or injury. Functional outcomes, including impairments in body functions or structures, activity limitations, or restrictions in social participation, are central to patients' experience of their own health, and key aspects of quality of life. As population aging and increasing prevalence of chronic diseases fuel continued growth in global impacts on function and need for rehabilitation, the development of AI technologies to analyze information on function and support better functional outcomes is becoming increasingly important.
This Research Topic builds on the Workshop Series on AI for Function and Disability (AI4Function; https://ai4function.github.io/) to focus on advances in AI and data science technologies for analyzing information on human function and disability. This information can come from many different sources: clinical observations in medical records, consumer activity monitors, mobile health (mHealth) technologies and patient-reported outcome (PRO) measures, sensors and video monitoring systems, and more.
We aim to build a research collection that captures the breadth of research on this important topic and brings together academics and practitioners using AI methods to study all aspects of function and disability. Submissions may include a variety of AI techniques, including machine learning, computer vision, natural language processing, and expert systems, and multidisciplinary teams of authors are encouraged.
Topics of interest include but are not limited to:
• Informatics and AI methods applied to functional status information, including information extraction, information retrieval, and classification (e.g. to the International Classification of Functioning, Disability, and Health, ICF)
• Applications of AI for functional status measurement and/or clinical decision support related to function (e.g. in rehabilitation or primary care)
• Development of new AI tools and techniques to analyze information on function and disability
• Usage of functional status information to model health outcomes/resource utilization
• Terminologies and ontologies related to function and disability
• Analysis of functional activity data, such as wearable device measurements or video recordings
• Applications of AI to analyze mHealth data or patient-reported outcome measures of function
• Combinations of multi-modal data to capture functional status
• Functional status and/or disability-related bias and consequences of AI
• Human-computer interaction to support functional status measurement and decision support systems
AI innovations in healthcare have produced significant advances supporting the diagnosis and treatment of disease, but relatively little research has explored the potential of AI technologies for understanding and helping to improve people's experience of function and disability.
Disability is a near-universal experience: one in four adults worldwide have been estimated to experience long-term disability, and many more experience temporary disability due to illness or injury. Functional outcomes, including impairments in body functions or structures, activity limitations, or restrictions in social participation, are central to patients' experience of their own health, and key aspects of quality of life. As population aging and increasing prevalence of chronic diseases fuel continued growth in global impacts on function and need for rehabilitation, the development of AI technologies to analyze information on function and support better functional outcomes is becoming increasingly important.
This Research Topic builds on the Workshop Series on AI for Function and Disability (AI4Function; https://ai4function.github.io/) to focus on advances in AI and data science technologies for analyzing information on human function and disability. This information can come from many different sources: clinical observations in medical records, consumer activity monitors, mobile health (mHealth) technologies and patient-reported outcome (PRO) measures, sensors and video monitoring systems, and more.
We aim to build a research collection that captures the breadth of research on this important topic and brings together academics and practitioners using AI methods to study all aspects of function and disability. Submissions may include a variety of AI techniques, including machine learning, computer vision, natural language processing, and expert systems, and multidisciplinary teams of authors are encouraged.
Topics of interest include but are not limited to:
• Informatics and AI methods applied to functional status information, including information extraction, information retrieval, and classification (e.g. to the International Classification of Functioning, Disability, and Health, ICF)
• Applications of AI for functional status measurement and/or clinical decision support related to function (e.g. in rehabilitation or primary care)
• Development of new AI tools and techniques to analyze information on function and disability
• Usage of functional status information to model health outcomes/resource utilization
• Terminologies and ontologies related to function and disability
• Analysis of functional activity data, such as wearable device measurements or video recordings
• Applications of AI to analyze mHealth data or patient-reported outcome measures of function
• Combinations of multi-modal data to capture functional status
• Functional status and/or disability-related bias and consequences of AI
• Human-computer interaction to support functional status measurement and decision support systems
