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http://dx.doi.org/10.1007/s00198-024-07374-0 | DOI Listing |
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 PDFClin Chem
January 2025
Centre de Recherche des Cordeliers, Equipe labélisée Ligue Contre le Cancer, Sorbonne Université, Université Paris Cité, INSERM, Paris France.
Osteoporos Int
January 2025
Department of Geriatric Medicine, Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, 113-8655, Japan.
Osteoporos Int
January 2025
First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300381, China.
Int Urol Nephrol
December 2024
First Department of Nephrology, Hippokration Hospital, Aristotle University of Thessaloniki, Konstantinoupoleos 49, 54642, Thessaloniki, Greece.
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