Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy.
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| Title: | Artificial intelligence in antimicrobial stewardship: a systematic review and meta-analysis of predictive performance and diagnostic accuracy. |
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| Authors: | Pennisi F; PhD National Programme in One Health approaches to infectious diseases and life science research, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100, Pavia, Italy.; Faculty of Medicine, University Vita-Salute San Raffaele, Milan, Italy., Pinto A; Faculty of Medicine, University Vita-Salute San Raffaele, Milan, Italy., Ricciardi GE; PhD National Programme in One Health approaches to infectious diseases and life science research, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100, Pavia, Italy.; Faculty of Medicine, University Vita-Salute San Raffaele, Milan, Italy., Signorelli C; Faculty of Medicine, University Vita-Salute San Raffaele, Milan, Italy., Gianfredi V; Department of Biomedical Sciences for Health, University of Milan, Via Pascal 36, 20133, Milan, Italy. vincenza.gianfredi@unimi.it. |
| Source: | European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology [Eur J Clin Microbiol Infect Dis] 2025 Mar; Vol. 44 (3), pp. 463-513. Date of Electronic Publication: 2025 Jan 06. |
| Publication Type: | Journal Article; Meta-Analysis; Systematic Review |
| Journal Info: | Publisher: Springer Country of Publication: Germany NLM ID: 8804297 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1435-4373 (Electronic) Linking ISSN: 09349723 NLM ISO Abbreviation: Eur J Clin Microbiol Infect Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1435-4373 |
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| DOI: | 10.1007/s10096-024-05027-y |
