AI Medical Compendium Topic

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

Attitude of Health Personnel

Showing 41 to 50 of 247 articles

Clear Filters

Health professionals' perspectives on the use of Artificial Intelligence in healthcare: A systematic review.

Patient education and counseling
INTRODUCTION: Artificial Intelligence (AI) is fast emerging as a crucial tool for improving patient care and treatment outcomes; however, concerns persist among health professionals about potential compromises in quality care and loss of jobs. The av...

Digital health competences and AI beliefs as conditions for the practice of evidence-based medicine: a study of prospective physicians in Canada.

Medical education online
BACKGROUND: The practice of evidence-based medicine (EBM) has become pivotal in enhancing medical care and patient outcomes. With the diffusion of innovation in healthcare organizations, EBM can be expected to depend on medical professionals' compete...

Nursing Student and Faculty Attitudes, Perceptions, and Behavioral Intentions of Artificial Intelligence Use in Nursing Education: An Integrative Review.

Nursing education perspectives
AIM: This integrative review critiques and synthesizes current research on nursing faculty and students' attitudes, perceptions, and behavioral intentions toward artificial intelligence (AI)-based tools in nursing education.

Health profession students' perceptions of ChatGPT in healthcare and education: insights from a mixed-methods study.

BMC medical education
OBJECTIVE: The aim of this study was to investigate the perceptions of health profession students regarding ChatGPT use and the potential impact of integrating ChatGPT in healthcare and education.

Medical students' attitudes toward AI in education: perception, effectiveness, and its credibility.

BMC medical education
BACKGROUND: The rapid advancement of artificial intelligence (AI) has revolutionized both medical education and healthcare by delivering innovative tools that enhance learning and improve overall outcomes. The study aimed to assess students' percepti...

Current Practices and Perspectives of Artificial Intelligence in the Clinical Management of Eating Disorders: Insights From Clinicians and Community Participants.

The International journal of eating disorders
OBJECTIVE: Artificial intelligence (AI) could revolutionize the delivery of mental health care, helping to streamline clinician workflows and assist with diagnostic and treatment decisions. Yet, before AI can be integrated into practice, it is necess...

Understanding Providers' Attitude Toward AI in India's Informal Health Care Sector: Survey Study.

JMIR formative research
BACKGROUND: Tuberculosis (TB) is a major global health concern, causing 1.5 million deaths in 2020. Diagnostic tests for TB are often inaccurate, expensive, and inaccessible, making chest x-rays augmented with artificial intelligence (AI) a promising...

Physician Perspectives on the Potential Benefits and Risks of Applying Artificial Intelligence in Psychiatric Medicine: Qualitative Study.

JMIR mental health
BACKGROUND: As artificial intelligence (AI) tools are integrated more widely in psychiatric medicine, it is important to consider the impact these tools will have on clinical practice.

German surgeons' perspective on the application of artificial intelligence in clinical decision-making.

International journal of computer assisted radiology and surgery
PURPOSE: Artificial intelligence (AI) is transforming clinical decision-making (CDM). This application of AI should be a conscious choice to avoid technological determinism. The surgeons' perspective is needed to guide further implementation.