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Accuracy of Artificial Intelligence Based Chatbots in Analyzing Orthopedic Pathologies: An Experimental Multi-Observer Analysis.
Diagnostics (Basel)
January 2025
Center for Musculoskeletal Surgery, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 13353 Berlin, Germany.
The rapid development of artificial intelligence (AI) is impacting the medical sector by offering new possibilities for faster and more accurate diagnoses. Symptom checker apps show potential for supporting patient decision-making in this regard. Whether the AI-based decision-making of symptom checker apps shows better performance in diagnostic accuracy and urgency assessment compared to physicians remains unclear.
View Article and Find Full Text PDFDevelopment and validation of the eHealth Literacy and Use Scale (eHLUS) to measure medical app literacy.
Public Health
January 2025
Technical University of Munich, TUM School of Medicine and Health, Department Health and Sport Sciences, Social Determinants of Health, Munich, Germany.
Objectives: This study aimed to develop and validate the eHealth Literacy and Use Scale (eHLUS), a German assessment tool designed to measure health literacy in the context of using medical apps. This scale enhances traditional eHealth literacy tools by focusing on the unique requirements of medical app use, such as integration into everyday life, and self-efficacy.
Study Design: This study employed a mixed-method design.
Design and evaluation of screening and self-care (mobile) application for oral and dental problems and emergencies.
J Oral Biol Craniofac Res
January 2025
Department of Restorative Dentistry, School of Dentistry, Tehran University of Medical Sciences, Tehran, Iran.
Introdution: Although oral and dental diseases may occur in unexpected or even emergency conditions, but some of the diagnosis and treatments can be algorithmically done following some guidelines. The development and implementation of a system that provides users with a record of history and a proposal of required actions can be not only efficiently practical, but also virtually simple.
Materials And Method: A system made up of web and mobile apps is proposed and evaluated for screening and self-care of oral and dental problems and for providing advice on dental emergencies and therapeutic measures.
A User-Centered Design Approach for a Screening App for People With Cognitive Impairment (digiDEM-SCREEN): Development and Usability Study.
JMIR Hum Factors
January 2025
Medical Informatics, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Background: Dementia is a widespread syndrome that currently affects more than 55 million people worldwide. Digital screening instruments are one way to increase diagnosis rates. Developing an app for older adults presents several challenges, both technical and social.
View Article and Find Full Text PDFThe persian version of mhealth app usability questionnaire (MAUQ) for patients: a psychometric assessment study.
BMC Med Inform Decis Mak
January 2025
Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Introduction: The growing importance of mobile apps in osteoporosis management highlights the crucial need for evaluating their utility and usability, particularly for Osteoporosis support apps. Addressing this need, the mHealth App Usability Questionnaire (MAUQ) was crafted in four different versions, categorized based on the nature of the app (interactive or standalone) and the intended user (patient or provider). Due to its usage by diverse users with varying languages, this questionnaire requires psychometric assessment in multiple languages.
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