AIMC Topic: Focus Groups
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Incorporating end-user perspectives into the development of a machine learning algorithm for first time perinatal depression prediction.
Journal of the American Medical Informatics Association : JAMIA
Jul 1, 2025
OBJECTIVE: Machine learning algorithms can advance clinical care, including identifying mental health conditions. These algorithms are often developed without considering the perspectives of the affected populations. This study describes the process ...
Ethical aspects and user preferences in applying machine learning to adjust eHealth addressing substance use: A mixed-methods study.
International journal of medical informatics
Jul 1, 2025
BACKGROUND: Digital health interventions targeting substance use disorders are being increasingly implemented. Data science methodology has the potential to enhance involvement and efficacy of these interventions, though application may raise ethical...
Seven Opportunities for Artificial Intelligence in Primary Care Electronic Visits: Qualitative Study of Staff and Patient Views.
Annals of family medicine
May 27, 2025
PURPOSE: Increased workload associated with electronic visits (eVisits) in primary care could potentially be decreased by the use of artificial intelligence (AI); however, it is unknown whether this use of AI would be acceptable to staff and patients...
Identification of needs for an assistive robotic arm in individuals with tetraplegia: a mixed-methods approach.
Journal of neuroengineering and rehabilitation
May 20, 2025
BACKGROUND: A severe spinal cord injury (SCI) can profoundly affect an individual's physical abilities and social independence. For individuals living with tetraplegia, an assistive robotic arm offers the potential to restore some autonomy and reduce...
Co-Designing a "win-win" in Predictive AI: First Results from Interviews and Focus Groups with Persons with Parkinson's Disease.
Studies in health technology and informatics
May 15, 2025
This study explored the perspectives of people with Parkinson's disease (PwP) involved in the co-design of AI tools for PD care. The aim was to understand PwP perspectives on AI tools and identify factors influencing their engagement. A qualitative t...
Patients' Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study.
Journal of medical Internet research
May 15, 2025
BACKGROUND: Artificial intelligence (AI) is increasingly used in medical care, particularly in the areas of image recognition and processing. While its practical use in other areas is still limited, an understanding of patients' needs is essential fo...
Postphenomenological Study: Using Generative Knowing and Science Fiction for Fostering Speculative Reflection on AI-nudge Experience.
Science and engineering ethics
May 14, 2025
This study presents an evidence-based argument for integrating participatory inquiry practices into AI education, using science fiction films as a primary tool for examining human-technology relationships. Through a media-enhanced co-inquiry approach...
Exploring dental faculty awareness, knowledge, and attitudes toward AI integration in education and practice: a mixed-method study.
BMC medical education
May 12, 2025
BACKGROUND: Dentistry is shifting from traditional to digital practices owing to the rapid development of "artificial intelligence" (AI) technology in healthcare systems. The dental curriculum lacks the integration of emerging technologies such as AI...
Understanding the gap: a balanced multi-perspective approach to defining essential digital health competencies for medical graduates.
BMC medical education
May 9, 2025
BACKGROUND: Rapid technological advancements have left medical graduates potentially underprepared for the digital healthcare environment. Despite the importance of digital health education, consensus on essential primary medical degree content is la...
Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers' perspectives.
BMC cancer
May 9, 2025
BACKGROUND: Mobile health (mHealth) applications (apps) integrated with artificial intelligence for skin cancer triage are increasingly available to the general public. Nevertheless, their actual uptake is limited. Although endorsement by healthcare ...
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