AIMC Topic: Artificial Intelligence
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Foundation Model and Radiomics-Based Quantitative Characterization of Perirenal Fat in Renal Cell Carcinoma Surgery.
Academic radiology
Mar 24, 2025
RATIONALE AND OBJECTIVES: To quantitatively characterize the degree of perirenal fat adhesion using artificial intelligence in renal cell carcinoma.
Artificial Intelligence and Qualitative Analysis of Emergency Department Telemental Health Care Implementation Survey.
Telemedicine journal and e-health : the official journal of the American Telemedicine Association
Mar 24, 2025
: Implementation of telemental health care in emergency departments (EDs) in the United States (U.S.) has been increasing. Artificial intelligence (AI) can augment traditional qualitative research methods; little is known about its efficiency and acc...
Using Generative Artificial Intelligence When Writing Letters of Recommendation.
Academic medicine : journal of the Association of American Medical Colleges
Mar 24, 2025
Artificial intelligence (AI) provides an opportunity to streamline tasks within academic medicine. Generative AI (genAI) models, specifically, have the capacity to generate new written content, follow detailed instructions for product improvement, an...
The future of artificial intelligence in cardiovascular monitoring.
Current opinion in critical care
Mar 24, 2025
PURPOSE OF REVIEW: Cardiovascular monitoring is essential for managing hemodynamic instability and preventing complications in critically ill patients. Conventional monitoring approaches are limited by predefined thresholds, dependence on clinician e...
Perceived Barriers and Facilitators of Use of Artificial Intelligence in Eating Disorder Care: A Commentary on Linardon et al. (2025).
The International journal of eating disorders
Mar 24, 2025
Artificial intelligence (AI) has the potential to revolutionize mental health care, including for eating disorders, but there are still a number of concerns focused on ethics, governance, and regulation. As the authors found in their preliminary surv...
The AI-environment paradox: Unraveling the impact of artificial intelligence (AI) adoption on pro-environmental behavior through work overload and self-efficacy in AI learning.
Journal of environmental management
Mar 24, 2025
This study examines the complex relationships among artificial intelligence (AI) adoption in organizations, employee work overload, and pro-environmental behavior at work (PEBW), while examining the moderating role of self-efficacy in AI learning. Dr...
The good, the bad, and the binary: Ethical impact of AI on nursing practice.
Nursing
Mar 24, 2025
Artificial intelligence (AI) promises significant advancements in patient care, burden reduction, and nursing efficiency. This article examines the multifaceted impact of AI on nursing practice; its benefits and potential ethical issues; and ways for...
Artificial intelligence in nursing: A journey from data to wisdom.
Nursing
Mar 24, 2025
Artificial intelligence (AI) can enhance nursing practice by assisting in clinical decisions, patient outcomes, and operational efficiencies. This article explores the role of AI in decision-making, data management, and task automation within the Dat...
Towards AI-Powered Applications: The Development of a Personalised LLM for HRI and HCI.
Sensors (Basel, Switzerland)
Mar 24, 2025
In this work, we propose a novel Personalised Large Language Model (PLLM) agent, designed to advance the integration and adaptation of large language models within the field of human-robot interaction and human-computer interaction. While research in...
Role of artificial intelligence-powered conversational agents (chatbots) in musculoskeletal disorders: a scoping review protocol.
BMJ open
Mar 24, 2025
INTRODUCTION: Musculoskeletal disorders (MSDs) represent a significant global health burden that leads to substantial disability with socioeconomic impact. With the rise of artificial intelligence (AI), particularly large language model-driven conver...
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