AIMC Topic: Health Personnel
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CHRONIC CRITICAL ILLNESS IN BONE TRAUMA PATIENTS: AN AI-BASED APPROACH FOR INTENSIVE CARE UNIT HEALTHCARE PROVIDERS.
Shock (Augusta, Ga.)
Jul 1, 2025
Background: Chronic critical illness (CCI) is a serious condition characterized by a prolonged course of illness, resulting in elevated morbidity and mortality. CCI presents significant challenges for healthcare providers in intensive care units (ICU...
Assessing training needs and influencing factors among personnel at centers for disease control and prevention in northeast China: a cross-sectional study framed by SDT and TPB using machine learning techniques.
BMC public health
Jun 10, 2025
OBJECTIVES: Training public health personnel is crucial for enhancing the capacity of public health systems. However, existing research often falls short in providing a comprehensive theoretical framework and fails to account for the intricate interp...
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...
'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...
Clinical Decision-Making
Female
Male
England
Forecasting
Health Personnel
Decision Support Techniques
Primary Health Care
State Medicine
Patient Acceptance of Health Care
Decision Making, Computer-Assisted
Qualitative Research
Attitude of Health Personnel
Interviews as Topic
Humans
Artificial Intelligence
Artificial intelligence (AI) use for personal protective equipment training, remediation, and education in health care.
American journal of infection control
Jun 1, 2025
BACKGROUND: Personal protective equipment (PPE) is a first-line transmission-based precaution for reducing the spread of nosocomial infections between health care workers (HCWs), patients, and staff. The COVID-19 pandemic highlighted a problematic sk...
Bridging the gap between scientists and clinicians: addressing collaboration challenges in clinical AI integration.
BMC anesthesiology
May 26, 2025
This article explores challenges for bridging the gap between scientists and healthcare professionals in artifical intelligence (AI) integration. It highlights barriers, the role of interdisciplinary research centers, and the importance of diversity,...
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).
From Healthcare Technology to Care Robot-Literate Practitioners.
Studies in health technology and informatics
May 15, 2025
Current forms of health technology literacies fail to fully address the multifaceted nature of care robot literacy (CRL). As an occupational asset for healthcare practitioners, CRL involves the ability to use and interact with mobile, artificially in...
Global Health care Professionals' Perceptions of Large Language Model Use In Practice: Cross-Sectional Survey Study.
JMIR medical education
May 12, 2025
BACKGROUND: ChatGPT is a large language model-based chatbot developed by OpenAI. ChatGPT has many potential applications to health care, including enhanced diagnostic accuracy and efficiency, improved treatment planning, and better patient outcomes. ...
Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers' perspectives.
BMC cancer
May 9, 2025
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 ...
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