首页|Studies from University of Southern California Keck School of Medicine in the Area of Artificial Intelligence Described (Radiology As a Specialty In the Era of Artificial Intelligence: a Systematic Review and Meta-analysis On Medical Students, ...)
Studies from University of Southern California Keck School of Medicine in the Area of Artificial Intelligence Described (Radiology As a Specialty In the Era of Artificial Intelligence: a Systematic Review and Meta-analysis On Medical Students, ...)
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Researchers detail new data in Artificial Intelligence. According to news reporting originating from Los Angeles, California, by NewsRx correspondents, research stated, “Artificial intelligence (AI) is changing radiology by automating tasks and assisting in abnormality detection and understanding perceptions of medical students, radiology trainees, and radiologists is vital for preparing them for AI integration in radiology. A systematic review and meta-analysis were conducted following established guidelines.” Our news editors obtained a quote from the research from the University of Southern California Keck School of Medicine, “PubMed, Scopus, and Web of Science were searched up to March 5, 2023. Eligible studies reporting outcomes of interest were included, and relevant data were extracted and analyzed using STATA software version 17.0. A meta-analysis of 21 studies revealed that 22.36% of individuals were less likely to choose radiology as a career due to concerns about advances in AI. Medical students showed higher rates of concern (31.94%) compared to radiology trainees and radiologists (9.16%) (P <.01). Radiology trainees and radiologists also demonstrated higher basic AI knowledge (71.84% vs 35.38%). Medical students had higher rates of belief that AI poses a threat to the radiology job market (42.66% vs 6.25%, P<.02). The pooled rate of respondents who believed that ‘AI will revolutionize radiology in the future’ was 79.48%, with no significant differences based on participants’ positions. The pooled rate of responders who 43 believed in the integration of AI in medical curricula was 81.75% among radiology trainees and radiologists and 70.23% among medical students.”
Los AngelesCaliforniaUnited StatesNorth and Central AmericaArtificial IntelligenceEmerging TechnologiesHealth Occupations StudentsHealth and MedicineMachine LearningMedical StudentsRadiologyUniversity of Southern California Keck School of Medicine
NETL
NSTL
Elsevier
