AI RESEARCH
RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care
arXiv CS.AI
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ArXi:2502.05740v2 Announce Type: replace-cross Cancer surgery is a key treatment for gastrointestinal (GI) cancers, a group of cancers that account for than 35% of cancer-related deaths worldwide, but postoperative complications are unpredictable and can be life-threatening. In this paper, we investigate how recent advancements in large language models (LLMs) can benefit remote patient monitoring (RPM) systems through clinical integration by designing RECOVER, an LLM-powered RPM system for postoperative GI cancer care.