AIMC Topic: Surveys and Questionnaires
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Investigating the Accuracy and Completeness of an Artificial Intelligence Large Language Model About Uveitis: An Evaluation of ChatGPT.
Ocular immunology and inflammation
Feb 23, 2024
PURPOSE: To assess the accuracy and completeness of ChatGPT-generated answers regarding uveitis description, prevention, treatment, and prognosis.
Identifying definite patterns of unmet needs in patients with multiple sclerosis using unsupervised machine learning.
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Feb 23, 2024
INTRODUCTION: People with multiple sclerosis (PwMS) exhibit a spectrum of needs that extend beyond solely disease-related determinants. Investigating unmet needs from the patient perspective may address daily difficulties and optimize care. Our aim w...
Perceptions of vulnerable roadway users on autonomous vehicle regulations.
Journal of safety research
Feb 23, 2024
INTRODUCTION: Development and implementation of autonomous vehicle (AV) related regulations are necessary to ensure safe AV deployment and wide acceptance among all roadway users. Assessment of vulnerable roadway users' perceptions on AV regulations ...
Improving Access to Eye Care Through Community Health Screenings Using Artificial Intelligence.
Ophthalmic epidemiology
Feb 21, 2024
PURPOSE: To the best of our knowledge, implementation of artificial intelligence (AI)-based vision screening in community health fair settings has not been previously studied. This prospective cohort study explored the incorporation of AI in a commun...
A systematic review on the application of machine learning models in psychometric questionnaires for the diagnosis of attention deficit hyperactivity disorder.
The European journal of neuroscience
Feb 20, 2024
Attention deficit hyperactivity disorder is one of the most prevalent neurodevelopmental disorders worldwide. Recent studies show that machine learning has great potential for the diagnosis of attention deficit hyperactivity disorder. The aim of the ...
Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire.
Computers in biology and medicine
Feb 19, 2024
BACKGROUND: Health-related patient-reported outcomes (HR-PROs) are crucial for assessing the quality of life among individuals experiencing low back pain. However, manual data entry from paper forms, while convenient for patients, imposes a considera...
Quality of information about urologic pathology in English and Spanish from ChatGPT, BARD, and Copilot.
Actas urologicas espanolas
Feb 17, 2024
INTRODUCTION AND OBJECTIVE: Generative artificial intelligence makes it possible to ask about medical pathologies in dialog boxes. Our objective was to analyze the quality of information about the most common urological pathologies provided by ChatGP...
Artificial intelligence: ChatGPT as a disruptive didactic strategy in dental education.
Journal of dental education
Feb 15, 2024
PURPOSE: To evaluate the influence of ChatGPT on academic tasks performed by undergraduate dental students.
Evaluation of Informative Content on Cerebral Palsy in the Era of Artificial Intelligence: The Value of ChatGPT.
Physical & occupational therapy in pediatrics
Feb 15, 2024
AIMS: In addition to the popular search engines on the Internet, ChatGPT may provide accurate and reliable health information. The aim of this study was to examine whether ChatGPT's responses to frequently asked questions concerning cerebral palsy (C...
Updating design guidelines for cognitive ergonomics in human-centred collaborative robotics applications: An expert survey.
Applied ergonomics
Feb 13, 2024
Within the framework of Industry 5.0, human factors are essential for enhancing the work conditions and well-being of operators interacting with even more advanced and smart manufacturing systems and machines and increasing production performances. N...
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