Multimodal AI-Guided Recovery Management After Lung Cancer Surgery

Summary

This study is a multicenter, prospective, randomized controlled trial designed to evaluate the effectiveness and safety of a multimodal artificial intelligence (AI)-guided postoperative recovery management system in patients after lung cancer surgery. Eligible patients will be enrolled after surgery when their clinical condition is stable and will be randomly assigned to either an AI-guided recovery management group or a usual postoperative care group.

Patients in the AI-guided group will receive usual postoperative care plus a multimodal AI-based recovery management system. The system will collect patient-reported symptoms, vital signs, physical activity, respiratory rehabilitation information, recovery-related data, and, when needed, wound or chest-related images or short videos. Based on these data, the system will provide recovery feedback, general nursing advice, respiratory rehabilitation reminders, activity guidance, and risk stratification alerts. For red-flag symptoms or high-risk conditions, the system will advise patients to contact the clinical team or seek medical care.

Patients in the usual-care group will receive standard postoperative management after lung cancer surgery and will complete symptom assessments at the same prespecified time points, but they will not receive AI-generated individualized recovery feedback or AI-generated risk alerts.

The primary outcome is the number of MDASI-LC-derived target symptom threshold events within 30 days after surgery. Target symptoms include pain, fatigue, disturbed sleep, shortness of breath, and cough. Secondary outcomes include overall target symptom burden, quality of recovery, time to recovery to a mild-symptom state, functional interference, respiratory rehabilitation adherence, physical activity adherence, unplanned healthcare utilization, pulmonary complications, and unplanned readmission.

Conditions

• Postoperative Care
• Rehabilitation
• Artificial Intelligence (Al)
• Randomized Controlled Trial (RCT)

Interventions

BEHAVIORAL

Conventional Internet-Based Rehabilitation Information

Participants in the conventional internet group will receive routine postoperative rehabilitation nursing and use conventional internet-based information resources for rehabilitation-related information after thoracic surgery.

BEHAVIORAL

Large Language Model-Assisted Rehabilitation Nursing

Participants in the large language model-assisted rehabilitation nursing group will receive artificial intelligence-assisted postoperative rehabilitation nursing. The system will analyze postoperative patient data and generate individualized rehabilitation recommendations, including pain management, pulmonary function training, and exercise rehabilitation. The rehabilitation module will support digital entry and feedback of standardized scales and recovery-related information, including pain scores, activity monitoring, step count, symptom self-assessment, cough frequency, and dyspnea level. Healthcare professionals will remain responsible for clinical oversight and safety management.

Sponsors & Collaborators

• The First Affiliated Hospital of Guangzhou Medical University

  lead OTHER

Study Design

Allocation

RANDOMIZED

Purpose

SUPPORTIVE_CARE

Masking

NONE

Model

PARALLEL

Eligibility

Min Age

18 Years

Max Age

80 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2025-03-01

Primary Completion

2026-12-31

Completion

2026-12-31

Countries

• China

Study Locations