Ethical Challenges in Research Involving Hospitalized Patients: A Phenomenological Study.

Hospital-based research plays a crucial role in advancing medical knowledge, but it also presents significant ethical challenges, particularly when involving hospitalized patients. Ethical concerns such as informed consent, patient autonomy, and the power dynamics between healthcare providers and patients are critical to maintaining the integrity of such research. The aim of this research was to explore and analyze the ethical considerations in conducting research involving hospitalized patients.

Artificial Intelligence in Healthcare: A Scoping Review of Medical Professionals' Acceptance and Institutional Challenges in Implementation.

Background: Artificial intelligence (AI) is transforming healthcare at a fast pace, showing promising potential to enhance medical diagnosis, inform treatment strategies, and support patient care. These advancements have the potential to improve clinical outcomes, streamline workflows, and reduce errors. However, comprehending the level of acceptance among medical professionals and the institutional challenges involved in implementing AI is essential.

Nursing Educators' Perspectives on the Integration of Artificial Intelligence Into Academic Settings.

Background: The integration of artificial intelligence (AI) into education has the potential to revolutionize teaching and learning practices, especially in nursing education, which combines theoretical and practical knowledge. However, challenges such as infrastructural limitations, ethical considerations, and a lack of educator preparedness hinder its widespread adoption in settings with limited access to technology, insufficient funding, and inadequate training opportunities for educators.

Aims: This study explores nursing educators' perspectives on integrating AI into academic settings.

Nursing Students' Perspectives on Integrating Artificial Intelligence Into Clinical Practice and Training: A Qualitative Descriptive Study.

Background: The integration of artificial intelligence (AI) into healthcare has introduced transformative tools to enhance clinical decision-making and streamline workflows. In nursing, a profession characterized by human-centric care, AI adoption offers both significant opportunities and notable challenges. However, the perspectives of nursing students, future professionals, on integrating AI into clinical practice and education remain underexplored.

The Role of Artificial Intelligence in Nursing Care: An Umbrella Review.

Artificial intelligence (AI) is revolutionizing nursing by enhancing decision-making, patient monitoring, and efficiency. Machine learning, natural language processing (NLP), and predictive analytics claim to improve safety and automate tasks. However, a structured analysis of AI applications is necessary to ensure their effective implementation in nursing practice.

Artificial intelligence in psychiatry: A systematic review and meta-analysis of diagnostic and therapeutic efficacy.

Background: Artificial Intelligence (AI) has demonstrated significant potential in transforming psychiatric care by enhancing diagnostic accuracy and therapeutic interventions. Psychiatry faces challenges like overlapping symptoms, subjective diagnostic methods, and personalized treatment requirements. AI, with its advanced data-processing capabilities, offers innovative solutions to these complexities.

Healthcare workers' knowledge and attitudes regarding artificial intelligence adoption in healthcare: A cross-sectional study.

Background: The convergence of healthcare and artificial intelligence (AI) introduces a transformative era in medical practice. However, the knowledge and attitudes of healthcare workers concerning the adoption of artificial intelligence in healthcare are currently unknown.

Aims: The primary objective was to investigate the knowledge and attitudes of healthcare professionals in Dhaka city, Bangladesh, regarding the adoption of AI in healthcare.

Nurses' perspectives on privacy and ethical concerns regarding artificial intelligence adoption in healthcare.

Background: With the increasing integration of artificial intelligence (AI) technologies into healthcare systems, there is a growing emphasis on privacy and ethical considerations. Nurses, as frontline healthcare professionals, are pivotal in-patient care and offer valuable insights into the ethical implications of AI adoption.

Objectives: This study aimed to explore nurses' perspectives on privacy and ethical concerns associated with the implementation of AI in healthcare settings.

Perceptions and attitudes of nurse practitioners toward artificial intelligence adoption in health care.

Background: With the ever-increasing integration of artificial intelligence (AI) into health care, it becomes imperative to gain an in-depth understanding of how health care professionals, specifically nurse practitioners, perceive and approach this transformative technology.

Objectives: This study aimed to gain insights into nurse practitioners' perceptions and attitudes toward AI adoption in health care.

Methods: This qualitative research employed a descriptive and phenomenological approach using in-depth interviews.

The long-term effects of childhood circumstances on older individuals: A systematic review.

Childhood experiences are known to shape individuals' development and can influence various aspects of life later on. Understanding the long-term effects is crucial for informing interventions and policies aimed at promoting healthy aging. This review aimed to explore the long-term effects of childhood experiences on older individuals.

Artificial intelligence in future nursing care: Exploring perspectives of nursing professionals - A descriptive qualitative study.

Background: The healthcare landscape is rapidly evolving, with artificial intelligence (AI) emerging as a transformative force. In this context, understanding the viewpoints of nursing professionals regarding the integration of AI in future nursing care is crucial.

Aims: This study aimed to provide insights into the perceptions of nursing professionals regarding the role of AI in shaping the future of healthcare.