Reviewnpj antimicrobials and resistance2025
Advantages and limitations of large language models for antibiotic prescribing and antimicrobial stewardship.
Review in npj antimicrobials and resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The trial behind it
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Who cites it
16 citing papers in PubMed.
- Large language models in the diagnosis and treatment of immunosuppression-related infections in rheumatic diseases: a comparative, vignette-based study.Rheumatology international · 2026Article
- Methodological considerations in the pre-implementation evaluation of AI-guided surgical antimicrobial prophylaxis.Internal medicine journal · 2026Article
- Exploring large language models as a prescription decision support tool for rational antibiotic use: A dual-framework analysis using standardized examinations and real-world clinical cases.Exploratory research in clinical and social pharmacy · 2026Article
- Performance of large language models as a source of clinical information on bacteriophage therapy.Npj viruses · 2026Article
- Addressing antimicrobial resistance: Current challenges, emerging strategies, and an AI-powered, community-driven approach.PNAS nexus · 2026Review
- Pre-implementation safety evaluation of an AI decision-support system for surgical antimicrobial prophylaxis.Internal medicine journal · 2026Article
- Do large language models differ in their pharmacology-related response quality for oral and maxillofacial surgery? a blinded expert benchmark study.BMC oral health · 2026Article
- Large Language Model Recommendations for Empiric Antibiotics Versus Clinician Prescribing: A Non-Interventional Paired Retrospective Antimicrobial Stewardship Analysis.Antibiotics (Basel, Switzerland) · 2026Article
- The Future of Antibiotics and Artificial Intelligence: Some Thoughts from Discovery to Bedside.Infectious diseases and therapy · 2026Review
- A Theoretical Framework forInfection and drug resistance · 2026Article
- Artificial intelligence in clinical microbiology: results from the first National survey by the Italian association of clinical microbiologists.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Article
- Large language models as information providers for appropriate antimicrobial use: computational text analysis and expert-rated comparison of ChatGPT, Claude and Gemini.BMJ health & care informatics · 2025Article
- Role of artificial intelligence in ICU therapeutic decision-making for severe infections.Current opinion in critical care · 2025Review
- FromFrontiers in medicine · 2025Article
- Retrospective modeling study of ChatGPT (GPT 4) warfarin dose adjustment in patients with INRs outside the therapeutic range.Digital healthArticle
- European Society of Clinical Microbiology and Infectious Diseases Study Group for Artificial Intelligence and Digitalisation consensus statements on key aspects in the interaction of clinical microbiologists and infectious disease specialists with general-purpose large language model-based systems: project protocol.Therapeutic advances in infectious diseaseArticle
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibiotic prescribing requires balancing optimal treatment for patients with reducing antimicrobial resistance. There is a lack of standardization in research on using large language models (LLMs) for supporting antibiotic prescribing, necessitating more efforts to identify biases and misinformation in their outputs. Educating future medical professionals on these aspects is crucial for ensuring the proper use of LLMs for supporting antibiotic prescribing, providing a deeper understanding of their strengths and limitations.
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.