AI-guided recovery management after lung cancer surgery
Official title: Multimodal Artificial Intelligence-Guided Symptom Monitoring and Recovery Management After Lung Cancer Surgery: A 20-Center Prospective Randomized Controlled Trial
Run by The First Affiliated Hospital of Guangzhou Medical University · NCT07588737 · Data updated 2026-11-12
A multicenter randomized trial tests whether adding a multimodal AI-guided recovery system to standard postoperative care helps people recover faster after lung cancer surgery.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 80 Years |
| Sex | All |
| Enrollment | 868 (estimated) |
| Sponsor | The First Affiliated Hospital of Guangzhou Medical University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Status | Recruiting |
| Started | March 1, 2025 |
| Main results expected | December 31, 2026 |
| Study ends | December 31, 2026 |
| Registry record updated | May 15, 2026 |
| Trial ID | NCT07588737 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults 18+ who had lung cancer surgery (any approach or extent) and are clinically stable postoperatively, with ability to use a smartphone or a helper.
✕Probably not a fit
Patients who do not engage with the AI system or require care beyond the system’s scope may not experience additional benefit.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This multicenter, prospective randomized trial compares AI-guided postoperative recovery management with usual care in adults recovering from lung cancer surgery. The AI system collects patient-reported symptoms, vital signs, activity, and rehabilitation data, and can include images or videos when needed, to provide feedback, reminders, and risk alerts. Primary aims are to assess safety and recovery outcomes, including symptom burden and adherence to rehabilitation. Eligible participants are adults who have undergone thoracic surgery for lung cancer and are clinically stable after surgery. The study will be conducted at the First Affiliated Hospital of Guangzhou Medical University, with patients randomized to receive conventional Internet-based rehabilitation information plus the AI-guided system versus usual care alone.
Why it matters
Potential benefit: If successful, patients may experience clearer recovery guidance, earlier symptom detection, and improved adherence to rehabilitation, potentially speeding up recovery.
How similar studies have gone: This approach builds on prior work showing that digital and AI-assisted rehabilitation can support recovery, though the specific multimodal AI-guided model after lung cancer surgery is novel.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Age 18 years or older. 2. Clinically or pathologically diagnosed with lung cancer. 3. Undergoing lung cancer-related thoracic surgery. 4. Surgical procedures may include video-assisted thoracoscopic surgery, robot-assisted thoracic surgery, or open thoracic surgery. 5. Surgical extent may include wedge resection, segmentectomy, lobectomy, sleeve resection, combined resection, bilobectomy, or pneumonectomy. 6. Clinically stable after surgery and able to participate in symptom assessment and postoperative recovery management. 7. Able to use a smartphone or study device, or has a caregiver who can assist with use. 8. Able to complete patient-reported symptom assessments and postoperative recovery information reporting. 9. Provides written informed consent. Exclusion Criteria: 1. Patients receiving non-surgical treatment only. 2. Patients undergoing bronchoscopy, percutaneous biopsy, or other non-surgical diagnostic or therapeutic procedures only. 3. Clinically unstable after surgery and unable to participate in symptom assessment or recovery management. 4. Requiring prolonged intensive care unit treatment, continuous advanced life support, or continuous intensive medical management. 5. Severe cognitive impairment, psychiatric disorder, language communication disorder, or other conditions that preclude completion of study assessments. 6. Unable to use a smartphone or study device and without a caregiver who can assist with use. 7. Currently participating in another interventional clinical study that may affect the primary outcome of this trial. 8. Any other condition judged by the investigator to make the patient unsuitable for participation in this study.
Where it's running
-
the First Affiliated Hospital of Guangzhou Medical University, Guangzhou,Guangdong 510120
Guangzhou, Guangdong, China Recruiting
Study contacts
- Study coordinator: Jianxing He
- Email: drjianxing.he@gmail.com
- Phone: +8618320729913
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.