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Assessing Nurses' Knowledge Regarding the Application of Artificial Intelligence Among Nursing Practice.
Nurs Res Pract
January 2025
Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Unlabelled: Artificial intelligence (AI) is constantly improving the quality of medical procedures. Despite the application of AI in the healthcare industry, there are conflicting opinions among professionals, and limited research on its practical application in Saudi Arabia was conducted.
Aim: To assess the nurses' knowledge regarding the application of AI in practice at one of the Ministry of Health hospitals in Saudi Arabia.
A reproducible framework for monitoring the impact of randomized clinical trials on clinical practice using large-scale real-world data: application to gynaecological surgical trials using the French national healthcare database.
EClinicalMedicine
February 2025
Department of Breast and Gynaecological Surgery, Institut Curie, Paris, France.
Background: Randomized clinical trials (RCTs) are fundamental to evidence-based medicine, but their real-world impact on clinical practice often remains unmonitored. Leveraging large-scale real-world data can enable systematic monitoring of RCT effects. We aimed to develop a reproducible framework using real-world data to assess how major RCTs influence medical practice, using two pivotal surgical RCTs in gynaecologic oncology as an example-the LACC (Laparoscopic Approach to Cervical Cancer) and LION (Lymphadenectomy in Ovarian Neoplasms) trials.
View Article and Find Full Text PDFGenerative artificial intelligence in graduate medical education.
Front Med (Lausanne)
January 2025
Clinical Informatics Fellowship Program, Baylor Scott & White Health, Round Rock, TX, United States.
Generative artificial intelligence (GenAI) is rapidly transforming various sectors, including healthcare and education. This paper explores the potential opportunities and risks of GenAI in graduate medical education (GME). We review the existing literature and provide commentary on how GenAI could impact GME, including five key areas of opportunity: electronic health record (EHR) workload reduction, clinical simulation, individualized education, research and analytics support, and clinical decision support.
View Article and Find Full Text PDFA Preliminary Screening Tool for High-Risk Frailty in Older Adults Patients with Pulmonary Tuberculosis.
Clin Interv Aging
January 2025
Department of Infectious Diseases, Wenzhou Central Hospital, Wenzhou, People's Republic of China.
Objective: To understand the current status and analyse the factors influencing frailty in older adults patients with pulmonary tuberculosis.
Methods: This retrospective case-control study included 204 older adults patients with pulmonary tuberculosis. The enrolled patients were divided into a frailty group (n = 101) and a non-frailty group (n = 103).
Objective: This study was conducted to investigate the social media practices and attitudes towards e-professionalism among undergraduate medical students in a medical college of Pakistan.
Methods: This cross-sectional study was conducted on 220 undergraduate medical students from 2 to final-year MBBS, at CMH Lahore Medical College from March to August 2022. After ethical approval, a printed questionnaire was distributed among students, selected by stratified random sampling technique.
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