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Knowledge, Attitudes, Perceptions, and Practices Related to Artificial Intelligence in Radiology Among Indian Radiologists and Residents: A Multicenter Nationwide Study.
Cureus
December 2024
Community and Family Medicine, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.
Background Artificial Intelligence (AI) is revolutionizing medical science, with significant implications for radiology. Understanding the knowledge, attitudes, perspectives, and practices of medical professionals and residents related to AI's role in radiology is crucial for effective integration. Methods A cross-sectional survey was conducted among members of the Indian Radiology & Imaging Association (IRIA), targeting practicing radiologists and residents across academic and non-academic institutions.
View Article and Find Full Text PDFFeasibility of implementing a rapid-learning methodology to inform radiotherapy treatments: key professional stakeholders' views.
BMJ Oncol
March 2024
Manchester Centre for Health Psychology, Division of Psychology and Mental Health, School of Health Sciences, The University of Manchester, Manchester, UK.
Objective: Pragmatic methodologies, often termed rapid-learning, are being pursued that can match the pace of innovation in radiotherapy and generate evidence from the real-world treatment setting. It is important to understand the feasibility of implementing such pragmatic approaches before their application in practice. This study investigated key professional stakeholders' perceptions and opinions of rapid-learning and real-world data (RWD).
View Article and Find Full Text PDFRevolutionizing medical education: Surgery takes the lead in virtual reality research.
Surg Open Sci
August 2024
Department of Orthopedics, Saarland University, Kirrberger Straße 100, 66421 Homburg, Saarland, Germany.
Objectives: Advancements in technology have spurred a transformative shift in medical education, with virtual reality (VR) emerging as a powerful tool for enhancing the learning experience. This study analyses the publications of VR in medical education, focusing on differences within different medical specialties.
Design: Using specific search terms, all studies published on VR in medical education listed in the Web of Science databases were included.
Exploring machine learning algorithms for predicting fertility preferences among reproductive age women in Nigeria.
Front Digit Health
January 2025
Department of Demography & Social Statistics, Federal University, Birnin-Kebbi, Kebbi State, Nigeria.
Background: Fertility preferences refer to the number of children an individual would like to have, regardless of any obstacles that may stand in the way of fulfilling their aspirations. Despite the creation and application of numerous interventions, the overall fertility rate in West African nations, particularly Nigeria, is still high at 5.3% according to 2018 Nigeria Demographic and Health Survey data.
View Article and Find Full Text PDFThe influence of social media applications on learning English as a second language.
Heliyon
January 2025
Dept of Information Science, Kuwait University, Shadadiya, Kuwait City, Kuwait.
This study aims to discover how the daily usage of social media platforms affects the users' second language learning. The study has been conducted in public high schools in Kuwait from different areas. A questionnaire has been distributed to the high school students to seek their opinions about social media usage and to test their language skills in English.
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