The ASHE Podcast

Episode 21: Can We Rely on AI to Guide Antimicrobial Therapy?


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In this special episode of The ASHE Podcast, we explore the potential—and limitations—of artificial intelligence in guiding antimicrobial therapy decisions. The episode features a fully AI-narrated summary of the recent ASHE article, “Can We Rely on Artificial Intelligence to Guide Antimicrobial Therapy? A Systematic Literature Review.” Using DeepSeek, an advanced AI tool, ASHE Editorial Board member Rajalakshmi Arjun transformed this article into an accessible, audio-friendly format—offering listeners a new way to engage with research.
This episode breaks down the current landscape of AI tools in clinical decision-making for infectious diseases. The review critically examines the accuracy, reliability, and clinical integration of AI models designed to recommend or guide antimicrobial use. The episode opens with a brief introduction from ASHE Editor-in-Chief Dr. Gonzalo Bearman, followed by the AI-generated narration of the article.
It’s a first for ASHE—and possibly a glimpse into the future of how research is consumed.
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The ASHE PodcastBy Society for Healthcare Epidemiology of America

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