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Investigating Emotional Intelligence: A Cross-Sectional Study of Pune's Postgraduate Medical Scholars.
Cureus
November 2024
Medicine, Dr. D. Y. Patil Medical College, Hospital and Research Centre, Dr. D. Y. Patil Vidyapeeth (Deemed to Be University), Pune, IND.
Introduction Emotional intelligence (EI), which encompasses the ability to perceive, understand, and manage emotions, is crucial for effective human interaction. In healthcare, especially in medicine, compassion and empathy are prioritized qualities associated with enhanced patient outcomes, increased patient compliance, and overall improved healthcare experiences. This study focused on postgraduate medical students to assess their EI levels and identify influencing factors.
View Article and Find Full Text PDFAlterations of Sensory-related Functional Brain Network Connectivity in Homozygous Knockout Mice.
Phenomics
October 2024
Human Phenome Institute, Institute of Medical Genetics and Genomics, MOE Key Laboratory of Contemporary Anthropology, Zhangjiang Fudan International Innovation Center, Fudan University, 825 Zhangheng Road, Shanghai, 201203 China.
Unlabelled: () is a neuro-specific gene linked to neurodevelopmental disorders and has recently been reported to function as a bidirectional emotional regulator, highlighting its molecular roles in the nervous system. However, the connections between , brain architecture, and functionality remain to be fully elucidated. Our study utilized 11.
View Article and Find Full Text PDFMetacognitive processes, situational factors, and clinical decision-making in nursing education: a quantitative longitudinal study.
BMC Med Educ
December 2024
Shanxi Provincial People's Hospital, No. 29 Shuangta East Street, Yingze District, Taiyuan City, Shanxi Province, China.
Objective: This study examined the longitudinal development of metacognitive skills and clinical decision-making abilities in nursing students, focusing on the interactions between metacognitive processes, situational factors, and individual differences.
Methods: A longitudinal, quantitative design was employed, following 185 third-year nursing students from a major university in China over one academic year. Data were collected at six time points using the Metacognitive Awareness Inventory, Nursing Decision-Making Instrument, and custom-designed clinical scenario assessments.
Anxiety about artificial intelligence from patient and doctor-physician.
Patient Educ Couns
December 2024
Beijing Hepingli Hospital, Beijing, China.
Objective: This paper investigates the anxiety surrounding the integration of artificial intelligence (AI) in doctor-patient interactions, analyzing the perspectives of both patients and healthcare providers to identify key concerns and potential solutions.
Methods: The study employs a comprehensive literature review, examining existing research on AI in healthcare, and synthesizes findings from various surveys and studies that explore the attitudes of patients and doctors towards AI applications in medical settings.
Results: The analysis reveals that patient anxiety encompasses algorithm aversion, robophobia, lack of humanistic care, challenges in human-machine interaction, and concerns about AI's universal applicability.
Can artificial intelligence improve patient educational material readability? A systematic review and narrative synthesis.
Intern Med J
December 2024
Department of Interventional Neuroradiology, Austin Health, Melbourne, Victoria, Australia.
Enhancing patient comprehension of their health is crucial in improving health outcomes. The integration of artificial intelligence (AI) in distilling medical information into a conversational, legible format can potentially enhance health literacy. This review aims to examine the accuracy, reliability, comprehensiveness and readability of medical patient education materials (PEMs) simplified by AI models.
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