AIMC Topic: Focus Groups

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Students' perceptions of AI mental health chatbots: an exploratory qualitative study at Sultan Qaboos University.

BMJ open
OBJECTIVES: The aim of this study is to explore the perceptions, attitudes and previous experiences of Sultan Qaboos University (SQU) students towards artificial intelligence (AI) mental health chatbots.

Organizing Telemonitoring-Decision-Making Between Centralized and Distributed Models in the Netherlands, Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework: Case Study.

JMIR medical informatics
BACKGROUND: Telemonitoring can be implemented using either centralized or distributed organizational models. However, few published studies explore which conditions make one model preferable over the other, or how to choose between these two.

Integrating AI in Pakistani ESL classrooms: Teachers' practices, perspectives, and impact on student performance.

PloS one
The global rise of Artificial Intelligence (AI) in English as a Second Language (ESL) education has shown promise, yet its application in resource-constrained contexts like Pakistan remains underexplored. This study examines the integration of AI too...

Exploring Young Adults' Attitudes Toward AI-Driven mHealth Apps: Qualitative Study.

JMIR human factors
BACKGROUND: Artificial intelligence (AI)-driven mobile health (mHealth) apps are emerging as a promising tool for health management, yet little is known about users' psychological perceptions and attitudes toward these technologies. Understanding the...

Perception of Medical Undergraduates on Artificial Intelligence in Medical Education: Qualitative Exploration.

JMIR medical education
BACKGROUND: Artificial intelligence (AI) has revolutionized medical education by delivering tools that enhance and optimize learning. However, there is limited research on the medical students' perceptions regarding the effectiveness of AI as a learn...

Exploring Women's Perceptions of Traditional Mammography and the Concept of AI-Driven Thermography to Improve the Breast Cancer Screening Journey: Mixed Methods Study.

JMIR cancer
BACKGROUND: Breast cancer is the most common cancer among women and a leading cause of mortality in Europe. Early detection through screening reduces mortality, yet participation in mammography-based programs remains suboptimal due to discomfort, rad...

Exploring Gender Bias in AI for Personalized Medicine: Focus Group Study With Trans Community Members.

Journal of medical Internet research
BACKGROUND: This paper explores the perception and application of artificial intelligence (AI) for personalized medicine within the trans community, an often-overlooked demographic in the broader scope of precision medicine. Despite growing advanceme...

Emergency medical services providers' perspectives on the use of artificial intelligence in prehospital identification of stroke- a qualitative study in Norway and Sweden.

BMC emergency medicine
BACKGROUND: Stroke is a large and increasing health challenge, leading to acquired physical disability and mortality. A rapid diagnostic assessment in the acute phase of a stroke is crucial and highly time dependent. Studies suggest that artificial i...

AI-enabled obstetric point-of-care ultrasound as an emerging technology in low- and middle-income countries: provider and health system perspectives.

BMC pregnancy and childbirth
BACKGROUND: In many low- and middle-income countries (LMICs), widespread access to obstetric ultrasound is challenged by lack of trained providers, workload, and inadequate resources required for sustainability. Artificial intelligence (AI) is a powe...