Study of AI-Guided Recovery Support After Lung Cancer Surgery Using Multimodal Data A Randomized Trial Comparing AI Assistance With Standard Postoperative Care

What this Trial Is About

Researchers are evaluating a multimodal artificial intelligence AI-guided postoperative recovery management system for patients after lung cancer surgery. This multicenter, prospective, randomized controlled trial aims to assess the effectiveness and safety of the AI system in improving recovery by monitoring symptoms such as pain, fatigue, disturbed sleep, shortness of breath, and cough. The study compares AI-guided recovery management with usual postoperative care to better support patient recovery and timely intervention. Participants are randomly assigned to either an AI-guided recovery group or a usual care group. The AI-guided group receives standard postoperative care plus an AI system that collects patient symptoms, vital signs, physical activity, respiratory rehab data, and images or videos when needed. The system offers personalized recovery feedback, nursing advice, rehab reminders, activity guidance, and alerts for high-risk conditions. The usual care group receives standard postoperative management and completes symptom assessments but does not get AI-generated feedback. Throughout the 30 days after surgery, participants provide symptom assessments at scheduled times. Researchers monitor symptom threshold events, overall symptom burden, quality of recovery, adherence to rehabilitation and physical activity, healthcare use, pulmonary complications, and readmissions. Safety and feasibility of the AI system are also evaluated. Participants remain connected to usual clinical safety pathways during the study, which lasts from intervention initiation to postoperative day 30.

Multimodal AI-Guided Recovery Management After Lung Cancer Surgery