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For: Di Basilio F, Esposisto G, Monoscalco L, Giansanti D. The Artificial Intelligence in Digital Radiology: Part 2: Towards an Investigation of acceptance and consensus on the Insiders. Healthcare (Basel) 2022;10:153. [PMID: 35052316 DOI: 10.3390/healthcare10010153] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 van de Venter R, Skelton E, Matthew J, Woznitza N, Tarroni G, Hirani SP, Kumar A, Malik R, Malamateniou C. Artificial intelligence education for radiographers, an evaluation of a UK postgraduate educational intervention using participatory action research: a pilot study. Insights Imaging 2023;14:25. [PMID: 36735172 DOI: 10.1186/s13244-023-01372-2] [Reference Citation Analysis]
2 Giansanti D. Artificial Intelligence in Public Health: Current Trends and Future Possibilities. Int J Environ Res Public Health 2022;19. [PMID: 36231208 DOI: 10.3390/ijerph191911907] [Reference Citation Analysis]
3 Patel B, Makaryus AN. Reply to Giansanti, D. Comment on “Patel, B.; Makaryus, A.N. Artificial Intelligence Advances in the World of Cardiovascular Imaging. Healthcare 2022, 10, 154”. Healthcare 2022;10:735. [DOI: 10.3390/healthcare10040735] [Reference Citation Analysis]
4 Giansanti D. Comment on Patel, B.; Makaryus, A.N. Artificial Intelligence Advances in the World of Cardiovascular Imaging. Healthcare 2022, 10, 154. Healthcare 2022;10:727. [DOI: 10.3390/healthcare10040727] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Giansanti D, Di Basilio F. The Artificial Intelligence in Digital Radiology: Part 1: The Challenges, Acceptance and Consensus. Healthcare 2022;10:509. [DOI: 10.3390/healthcare10030509] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
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