AIMC Topic: Qualitative Research

Clear Filters Showing 251 to 260 of 288 articles

Unveiling the Attitudes of Medical Faculty Towards the Integration of Artificial Intelligence in Medical Education.

Journal of the College of Physicians and Surgeons--Pakistan : JCPSP
OBJECTIVE: To explore the attitude of faculty members towards integration of artificial intelligence (AI) and to accelerate the appropriate adaptation of AI tools in medical education.

Exploring Health Sciences Students' Perspectives on Using Generative Artificial Intelligence in Higher Education: A Qualitative Study.

Nursing & health sciences
The widespread adoption of artificial intelligence (AI) tools in academic settings has the potential to revolutionize learning experiences, enhance educational outcomes, and streamline academic processes. The aim of this research was to explore the p...

Learning to Teach AI: Understanding the Needs of Healthcare Professionals.

Studies in health technology and informatics
As Artificial Intelligence (AI) technologies become more integrated into clinical settings to optimize care, healthcare professionals (HCPs) will need to become more adept in responsibly using these novel technologies to augment patient care. A quali...

Healthcare Professionals' Views on the Use of Passive Sensing and Machine Learning Approaches in Secondary Mental Healthcare: A Qualitative Study.

Health expectations : an international journal of public participation in health care and health policy
INTRODUCTION: Globally, many people experience mental health difficulties, and the current workforce capacity is insufficient to meet this demand, with growth not keeping pace with need. Digital devices that passively collect data and utilise machine...

Implementing an artificial intelligence command centre in the NHS: a mixed-methods study.

Health and social care delivery research
BACKGROUND: Hospital 'command centres' use digital technologies to collect, analyse and present real-time information that may improve patient flow and patient safety. Bradford Royal Infirmary has trialled this approach and presents an opportunity to...

Equity and AI governance at academic medical centers.

The American journal of managed care
OBJECTIVES: To understand whether and how equity is considered in artificial intelligence/machine learning governance processes at academic medical centers.

Patient and Caregiver Perceptions of an Interface Design to Communicate Artificial Intelligence-Based Prognosis for Patients With Advanced Solid Tumors.

JCO clinical cancer informatics
PURPOSE: Use of artificial intelligence (AI) in cancer care is increasing. What remains unclear is how best to design patient-facing systems that communicate AI output. With oncologist input, we designed an interface that presents patient-specific, m...

Academic machine learning researchers' ethical perspectives on algorithm development for health care: a qualitative study.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVES: We set out to describe academic machine learning (ML) researchers' ethical considerations regarding the development of ML tools intended for use in clinical care.

Factors influencing clinician and patient interaction with machine learning-based risk prediction models: a systematic review.

The Lancet. Digital health
Machine learning (ML)-based risk prediction models hold the potential to support the health-care setting in several ways; however, use of such models is scarce. We aimed to review health-care professional (HCP) and patient perceptions of ML risk pred...