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Artificial intelligence and sexual reproductive health and rights: a technological leap towards achieving sustainable development goal target 3.7.
Reprod Health
December 2024
The George Institute for Global Health, Imperial College London, London, UK.
Target 3.7 of the Sustainable Development Goals (SDGs) aims for universal access to sexual and reproductive health (SRH) services by 2030, including family planning services, information, education, and integration into national strategies. In contemporary times, reproductive medicine is progressively incorporating artificial intelligence (AI) to enhance sperm cell prediction and selection, in vitro fertilisation models, infertility and pregnancy screening.
View Article and Find Full Text PDFNavigating ethical considerations in the use of artificial intelligence for patient care: A systematic review.
Int Nurs Rev
November 2024
Community Health Nursing Department, College of Nursing, Jouf University, Sakaka, Saudi Arabia.
Aim: To explore the ethical considerations and challenges faced by nursing professionals in integrating artificial intelligence (AI) into patient care.
Background: AI's integration into nursing practice enhances clinical decision-making and operational efficiency but raises ethical concerns regarding privacy, accountability, informed consent, and the preservation of human-centered care.
Methods: A systematic review was conducted, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
Exploring geriatric nurses' perspectives on the adoption of AI in elderly care a qualitative study.
Geriatr Nurs
November 2024
Community Health Nursing Department, College of Nursing, Jouf University, Sakak, Saudi Arabia. Electronic address:
This phenomenological study explored the perspectives of geriatric nurses on the adoption of artificial intelligence (AI) in elderly care. Thematic analysis of semi-structured interviews with 17 nurses revealed perceived benefits, challenges, ethical considerations, and practical implications. Participants acknowledged AI's potential for improving diagnostic accuracy, personalized care, continuous monitoring, and data pattern insights.
View Article and Find Full Text PDFBeyond algorithms: The human touch machine-generated titles for enhancing click-through rates on social media.
PLoS One
July 2024
Foki Media Co., Ltd. Hangzhou, Hangzhou, Zhejiang Province, China.
Artificial intelligence (AI) has the potential to revolutionize various domains by automating language-driven tasks. This study evaluates the effectiveness of an AI-assisted methodology, called the "POP Title AI Five-Step Optimization Method," in optimizing content titles on the RED social media platform. By leveraging advancements in natural language generation, this methodology aims to enhance the impact of titles by incorporating emotional sophistication and cultural proficiency, addressing existing gaps in AI capabilities.
View Article and Find Full Text PDFDigital Transformation of Public Health for Noncommunicable Diseases: Narrative Viewpoint of Challenges and Opportunities.
JMIR Public Health Surveill
January 2024
Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland.
The recent SARS-CoV-2 pandemic underscored the effectiveness and rapid deployment of digital public health interventions, notably the digital proximity tracing apps, leveraging Bluetooth capabilities to trace and notify users about potential infection exposures. Backed by renowned organizations such as the World Health Organization and the European Union, digital proximity tracings showcased the promise of digital public health. As the world pivots from pandemic responses, it becomes imperative to address noncommunicable diseases (NCDs) that account for a vast majority of health care expenses and premature disability-adjusted life years lost.
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