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

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.