Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s40596-024-02107-1 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Comment on 'Sexual and reproductive health clinical consultations: preconception care'.
BMJ Sex Reprod Health
January 2025
Applied Health Sciences, University of Aberdeen, Aberdeen, UK.
Chirality à la carte.
Science
January 2025
Department of Applied Physics and Science Education, Eindhoven University of Technology, Eindhoven, Netherlands.
Light drives a fast switching between achiral and chiral states in a crystal.
View Article and Find Full Text PDFOsteopenic fractures, the importance of applying gender-specific bone mineral density thresholds in identifying hip fracture at-risk populations, and comments on the article of Xu .
Quant Imaging Med Surg
January 2025
Department of Imaging and Interventional Radiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
[Application of artificial intelligence in parasitic diseases and parasitology].
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi
December 2024
Department of Epidemiology, School of Public Health, Fudan University; Key Laboratory of Public Health Safety, Ministry of Education; Tropical Disease Research Center, Fudan University, Shanghai 200032, China.
The rapid development of artificial intelligence poses a huge impact on health and has become a core driving force for the new generation of the scientific and technological revolution in the field of healthcare. Recently, artificial intelligence has been gradually applied in the field of parasitic diseases and parasitology, including disease diagnosis, prognosis prediction, prediction of transmission risk, intelligent identification of vectors and intermediate hosts, and disease prevention and control, which facilitates the progress towards elimination of parasitic diseases. In addition, artificial intelligence provides highly efficient tools and approaches for healthcare workers and researchers.
View Article and Find Full Text PDFEducation Research: Making a Tweetorial Fly: Features of Educational Social Media Posts Associated With High Sharing and Engagement.
Neurol Educ
December 2024
From the Departments of Neurology and Neurosurgery (C.S.W.A., E.C.L.), Emory University School of Medicine, Atlanta, GA; Division of Biostatistics (T.M.), Rollins School of Public Health, Emory University, Atlanta, GA; Department of Neurology (G.F.P.), University of Pittsburgh, PA; Department of Neurology (A.S.Z.), Weill Cornell Medical College, New York, NY; Emory University School of Medicine (N.D.), Atlanta, GA; Consulting Web Developer (S.M.), Scotland; Department of Neurology (A.S.), Wake Forest University, Winston-Salem, NC; Departments of Neurology and Neurosurgery (N.S.D), Icahn School of Medicine at Mount Sinai, New York, NY; Department of Neurology (A.L.B.), University of California, San Francisco; Department of Neurology (N.A.M.), University of Maryland School of Medicine, Baltimore, MD; and Department of Neurology (L.K.J.), Mayo Clinic, Rochester, MN.
Background And Objectives: Social media platforms such as X (formerly Twitter) are increasingly used in medical education. Characteristics of tweetorials (threaded teaching posts) associated with higher degrees of engagement are unknown. We sought to understand features of neurology-themed tweetorials associated with high sharing and engagement.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!