AIMC Topic: Attitude of Health Personnel
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Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey.
Critical care explorations
Jun 1, 2025
IMPORTANCE: Sepsis is a major cause of morbidity and mortality, with early intervention shown to improve outcomes. Predictive modeling and artificial intelligence (AI) can aid in early sepsis recognition, but there remains a gap between algorithm dev...
Acceptance and Readiness of Critical Care Nurses to Use Artificial Intelligence: A Structural Equation Modeling Approach.
International nursing review
Jun 1, 2025
AIM: The aims of this study was to evaluate the acceptance and readiness of critical care nurses to use artificial intelligence (AI).
Perspectives of physicians, nurses, and patients on the use of artificial intelligence and robotic nurses in healthcare.
International nursing review
Jun 1, 2025
AIM: This study aims to assess the perspectives of physicians, nurses, and patients in Turkey regarding the integration of artificial intelligence (AI) and robotic nurses in healthcare settings while exploring their attitudes toward the use of robots...
'In the Midst of Every Crisis, Lies Great Opportunity': Perceptions of the Future Use of Artificial Intelligence in the UK NHS Primary Care.
Musculoskeletal care
Jun 1, 2025
BACKGROUND: Amidst a backdrop of crisis in primary healthcare, characterised by increasing patient demands and a stagnant workforce, artificial intelligence (AI) is proposed as a potential enhancer of clinical efficacy and decision-making support. In...
Decision Support Techniques
Clinical Decision-Making
Female
Male
Humans
Artificial Intelligence
Forecasting
Health Personnel
Primary Health Care
State Medicine
England
Patient Acceptance of Health Care
Decision Making, Computer-Assisted
Qualitative Research
Attitude of Health Personnel
Interviews as Topic
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...
Knowledge, perception, and attitude of Egyptian dental students toward the role of robotics and artificial intelligence in dental practices - a cross-sectional study.
BMC oral health
May 21, 2025
BACKGROUND: Rapid technological progress has made robotics (R) and artificial intelligence (AI) essential components of our everyday existence. In addition, robots designed for dental applications have been created. This study aimed to assess Egyptia...
Artificial intelligence in clinical practice: a cross-sectional survey of paediatric surgery residents' perspectives.
BMJ health & care informatics
May 21, 2025
OBJECTIVES: The aim of this study was to compare the performances of residents and ChatGPT in answering validated questions and assess paediatric surgery residents' acceptance, perceptions and readiness to integrate artificial intelligence (AI) into ...
Practical, epistemic and normative implications of algorithmic bias in healthcare artificial intelligence: a qualitative study of multidisciplinary expert perspectives.
Journal of medical ethics
May 21, 2025
BACKGROUND: There is a growing concern about artificial intelligence (AI) applications in healthcare that can disadvantage already under-represented and marginalised groups (eg, based on gender or race).
Modern artificial intelligence and large language models in graduate medical education: a scoping review of attitudes, applications & practice.
BMC medical education
May 20, 2025
BACKGROUND: Artificial intelligence (AI) holds transformative potential for graduate medical education (GME), yet, a comprehensive exploration of AI's applications, perceptions, and limitations in GME is lacking.
Exploring dental students' attitudes and perceptions toward artificial intelligence in dentistry in Iran.
BMC medical education
May 19, 2025
INTRODUCTION: AI has the potential to enhance diagnostics, optimize treatment planning, and improve patient care. However, concerns remain regarding professional autonomy, ethical considerations, and the need for adequate training. This research aims...
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