RECOVER introduces an innovative LLM-powered system for remote monitoring of gastrointestinal cancer patients after surgery, addressing critical postoperative complications.

• Integrates clinical expertise with AI capabilities to provide continuous patient monitoring
• Enables early detection of potentially life-threatening complications
• Creates a supportive care framework that connects patients with clinical staff remotely
• Demonstrates practical application of LLMs in high-stakes medical contexts

This research represents a significant advancement in postoperative care for GI cancers, which account for over 35% of global cancer-related deaths, showing how AI can enhance patient outcomes while reducing healthcare burden.

RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care