AIMC Topic: Surveys and Questionnaires
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Users with spinal cord injury experience of robotic Locomotor exoskeletons: a qualitative study of the benefits, limitations, and recommendations.
Journal of neuroengineering and rehabilitation
Sep 11, 2020
BACKGROUND: Persons with spinal cord injury (SCI) may experience both psychological and physiological benefits from robotic locomotor exoskeleton use, and knowledgeable users may have valuable perspectives to inform future development. The objective ...
Artificial Intelligence and Its Effect on Dermatologists' Accuracy in Dermoscopic Melanoma Image Classification: Web-Based Survey Study.
Journal of medical Internet research
Sep 11, 2020
BACKGROUND: Early detection of melanoma can be lifesaving but this remains a challenge. Recent diagnostic studies have revealed the superiority of artificial intelligence (AI) in classifying dermoscopic images of melanoma and nevi, concluding that th...
Attitudes and perceptions of dental students towards artificial intelligence.
Journal of dental education
Aug 26, 2020
INTRODUCTION: Artificial Intelligence (AI) is a burning topic and use of AI in our day-to-day life has increased exponentially. The purpose of this study was to evaluate the attitudes and perceptions of Turkish dental students towards AI and to provi...
Machine learning-based automated classification of headache disorders using patient-reported questionnaires.
Scientific reports
Aug 20, 2020
Classification of headache disorders is dependent on a subjective self-report from patients and its interpretation by physicians. We aimed to apply objective data-driven machine learning approaches to analyze patient-reported symptoms and test the fe...
Ordinal labels in machine learning: a user-centered approach to improve data validity in medical settings.
BMC medical informatics and decision making
Aug 20, 2020
BACKGROUND: Despite the vagueness and uncertainty that is intrinsic in any medical act, interpretation and decision (including acts of data reporting and representation of relevant medical conditions), still little research has focused on how to expl...
The FUTUREPAIN study: Validating a questionnaire to predict the probability of having chronic pain 7-10 years into the future.
PloS one
Aug 20, 2020
OBJECTIVES: The FUTUREPAIN study develops a short general-purpose questionnaire, based on the biopsychosocial model, to predict the probability of developing or maintaining moderate-to-severe chronic pain 7-10 years into the future.
Machine learning in neurosurgery: a global survey.
Acta neurochirurgica
Aug 18, 2020
BACKGROUND: Recent technological advances have led to the development and implementation of machine learning (ML) in various disciplines, including neurosurgery. Our goal was to conduct a comprehensive survey of neurosurgeons to assess the acceptance...
Role of Assistive Robots in the Care of Older People: Survey Study Among Medical and Nursing Students.
Journal of medical Internet research
Aug 12, 2020
BACKGROUND: Populations are aging at an alarming rate in many countries around the world. There has been not only a decrease in the number of births and an increase in the percentage of older people, but also an increase in the number of people livin...
Using Natural Language Processing and Sentiment Analysis to Augment Traditional User-Centered Design: Development and Usability Study.
JMIR mHealth and uHealth
Aug 7, 2020
BACKGROUND: Sarcopenia, defined as the age-associated loss of muscle mass and strength, can be effectively mitigated through resistance-based physical activity. With compliance at approximately 40% for home-based exercise prescriptions, implementing ...
Psychometric and Machine Learning Approaches to Reduce the Length of Scales.
Multivariate behavioral research
Aug 4, 2020
Brief measures are important in psychology research because they reduce participant burden. Researchers can select items from longer measures either to build a short-form or to administer items conditional on a participant's previous responses. Resea...
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