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The Role of Artificial Intelligence in Nursing Education, and Practice: An Umbrella Review.
J Med Internet Res
March 2025
Inverness College, University of the Highlands and Islands, Inverness, GB.
Background: Artificial intelligence (AI) is rapidly transforming healthcare, offering significant advancements in patient care, clinical workflows, and nursing education. While AI has the potential to enhance health outcomes and operational efficiency, its integration into nursing practice and education raises critical ethical, social, and educational challenges that must be addressed to ensure responsible and equitable adoption.
Objective: This umbrella review aims to evaluate the integration of AI into nursing practice and education, with a focus on ethical and social implications, and to propose evidence-based recommendations to support the responsible and effective adoption of AI technologies in nursing.
AAPM-RSS Medical Physics Practice Guideline 9.b: SRS-SBRT.
J Appl Clin Med Phys
March 2025
Radiation Oncology, Duke University Medical Center, Durham, North Carolina, USA.
The purpose of this Medical Physics Practice Guideline (MPPG) is to describe the minimum level of medical physics support deemed prudent for the practice of linear-accelerator, photon-based (linac) stereotactic radiosurgery (SRS), and stereotactic body radiation therapy (SBRT) services. This report is an update of MPPG 9.a published in 2017.
View Article and Find Full Text PDFERS Congress 2024: highlights from the Allied Respiratory Professionals Assembly.
ERJ Open Res
March 2025
Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
https://bit.ly/3ZPrlZw.
View Article and Find Full Text PDFArtificial Intelligence and Machine Learning: An Updated Systematic Review of Their Role in Obstetrics and Midwifery.
Cureus
March 2025
Department of Midwifery, Faculty of Health and Caring Sciences, University of West Attica, Athens, GRC.
Artificial intelligence (AI) and machine learning (ML) are rapidly evolving technologies with significant implications in obstetrics and midwifery. This systematic review aims to evaluate the latest advancements in AI and ML applications in obstetrics and midwifery. A search was conducted in three electronic databases (PubMed, Scopus, and Web of Science) for studies published between January 1, 2022, and February 20, 2025, using keywords related to AI, ML, obstetrics, and midwifery.
View Article and Find Full Text PDFArtificial intelligence (AI) in radiological paediatric fracture assessment: an updated systematic review.
Eur Radiol
March 2025
Department of Clinical Radiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.
Background: Recognising bone injuries in children is a critical part of children's imaging, and, recently, several AI algorithms have been developed for this purpose, both in research and commercial settings. We present an updated systematic review of the literature, including the latest developments.
Methods/materials: Scopus, Web of Science, Pubmed, Embase, and Cochrane Library databases were queried for studies published between 1 January 2011 and 6 September 2024 matching search terms 'child', 'AI', 'fracture,' and 'imaging'.
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