Comparing large language models for antibiotic prescribing in different clinical scenarios: Author's response Correspondence

  

Authors:	De Vito, A.; Geremia, N.; Bavaro, D. F.; Seo, S. K.; Laracy, J.; Mazzitelli, M.; Marino, A.; Maraolo, A. E.; Russo, A.; Colpani, A.; Bartoletti, M.; Cattelan, A. M.; Mussini, C.; Parisi, S. G.; Vaira, L. A.; Nunnari, G.; Madeddu, G.
Title:	Comparing large language models for antibiotic prescribing in different clinical scenarios: Author's response
Keywords:	treatment outcome; antibiotic agent; clinical feature; comparative study; letter; clinical practice; accuracy; allergy; risk assessment; fever; lymphedema; chronic disease; antibiotic resistance; artificial intelligence; clinical decision making; hospital admission; gentamicin; staphylococcus aureus; linezolid; vancomycin; doxycycline; microbiological examination; cotrimoxazole; rifampicin; antibiotic sensitivity; erythromycin; moxifloxacin; cellulitis; medical history; clindamycin; blood culture; trust; ampicillin; daptomycin; oxacillin; teicoplanin; amoxicillin plus clavulanic acid; clinician; workflow; hydroxychloroquine sulfate; clinical significance; human; cefoxitin; tigecycline; prescribing practice; large language model; prompt engineering; ceftaroline fosamil; ceftobiprole
Journal Title:	Clinical Microbiology and Infection
Volume:	31
Issue:	8
ISSN:	1198-743X
Publisher:	Elsevier Inc.
Date Published:	2025-08-01
Start Page:	1410
End Page:	1414
Language:	English
DOI:	10.1016/j.cmi.2025.04.041
PUBMED:	40345619
PROVIDER:	scopus
DOI/URL:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-105010626929&doi=10.1016%2fj.cmi.2025.04.041&partnerID=40&md5=d08250ac70002f7ed03d6da84bfad656
Notes:	Letter -- Source: Scopus

https://synapse.mskcc.org/synapse/works/has_related_data_chk/227232