AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Focus Groups

Showing 1 to 10 of 96 articles

Clear Filters

Understanding the gap: a balanced multi-perspective approach to defining essential digital health competencies for medical graduates.

BMC medical education
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
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 ...

Exploring dental faculty awareness, knowledge, and attitudes toward AI integration in education and practice: a mixed-method study.

BMC medical education
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...

Ethical aspects and user preferences in applying machine learning to adjust eHealth addressing substance use: A mixed-methods study.

International journal of medical informatics
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...

Health-Promoting Effects and Everyday Experiences With a Mental Health App Using Ecological Momentary Assessments and AI-Based Ecological Momentary Interventions Among Young People: Qualitative Interview and Focus Group Study.

JMIR mHealth and uHealth
BACKGROUND: Considering the high prevalence of mental health conditions among young people and the technological advancements of artificial intelligence (AI)-based approaches in health services, mobile health (mHealth) apps for mental health are a pr...

Generative artificial intelligence in physiotherapy education: great potential amidst challenges- a qualitative interview study.

BMC medical education
BACKGROUND: Generative Artificial Intelligence (GAI) has significantly impacted education at all levels, including health professional education. Understanding students' experiences is essential to enhancing AI literacy, adapting education to GAI, an...

The use of robotic upper limb therapy in routine clinical practice for stroke survivors: Insights from Australian therapists.

Australian occupational therapy journal
INTRODUCTION: There is a limited understanding of therapist acceptance and use of robot-assisted upper limb therapy (RT-ULT) in routine practice. The aim of this study was to explore the factors that influence Australian therapist acceptance and use ...

Using a Robot to Address the Well-Being, Social Isolation, and Loneliness of Care Home Residents via Video Calls: Qualitative Feasibility Study.

JMIR formative research
BACKGROUND: About 40,000 people are living in Norwegian care homes, where a majority are living with a dementia diagnosis. Social isolation and loneliness are common issues affecting care home residents' quality of life. Due to visitation restriction...

Postphenomenological Study: Using Generative Knowing and Science Fiction for Fostering Speculative Reflection on AI-nudge Experience.

Science and engineering ethics
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...

Patients' Perceptions of Artificial Intelligence Acceptance, Challenges, and Use in Medical Care: Qualitative Study.

Journal of medical Internet research
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...