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AI-Guided Recovery Support After Lung Cancer Surgery

Tests an AI recovery-monitoring system in adults after lung cancer surgery.

Key facts

Who runs it
The First Affiliated Hospital of Guangzhou Medical University
Where
Guangzhou, ChinaSee the site
Trial code
Registry title
Multimodal AI-Guided Recovery Management After Lung Cancer Surgery
Status
Recruiting
People taking part
868 people, planned
Started
1 Mar 2025
Expected to end
31 Dec 2026
Type of study
Interventional, 2 groupsOne group gets an existing treatment, for comparison.
Treatments tested
  • Conventional Internet-Based Rehabilitation Information
  • Large Language Model-Assisted Rehabilitation Nursing
Record updated
15 May 2026

Who can take part

AI summary

From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.

The trial is looking for adults who had surgery for lung cancer and are stable after the operation. It tests an AI-guided recovery support system against usual care.

Age
18 to 80 years
Sex
All sexes can join.
Disease stage
Lung cancer (clinically or pathologically diagnosed) treated with chest surgery, such as wedge resection, segmentectomy, lobectomy, sleeve resection, combined resection, bilobectomy or pneumonectomy.
Earlier treatment
Must have had lung cancer-related chest surgery (thoracoscopic, robot-assisted or open).

Main reasons for not taking part

  • Only non-surgical treatment, or only bronchoscopy or biopsy
  • Not clinically stable after surgery
  • Needs long intensive care or continuous advanced life support
  • Severe cognitive, psychiatric or language problem that prevents completing the assessments
  • Cannot use a smartphone or study device and has no caregiver to help

The registry criteria, word for word

Show all 17 criteriaShow less

Who can take part

  • Age 18 years or older
  • Clinically or pathologically diagnosed with lung cancer
  • Undergoing lung cancer-related thoracic surgery
  • Surgical procedures may include video-assisted thoracoscopic surgery, robot-assisted thoracic surgery, or open thoracic surgery
  • Surgical extent may include wedge resection, segmentectomy, lobectomy, sleeve resection, combined resection, bilobectomy, or pneumonectomy
  • Clinically stable after surgery and able to participate in symptom assessment and postoperative recovery management
  • Able to use a smartphone or study device, or has a caregiver who can assist with use
  • Able to complete patient-reported symptom assessments and postoperative recovery information reporting
  • Provides written informed consent

Who cannot take part

  • Patients receiving non-surgical treatment only
  • Patients undergoing bronchoscopy, percutaneous biopsy, or other non-surgical diagnostic or therapeutic procedures only
  • Clinically unstable after surgery and unable to participate in symptom assessment or recovery management
  • Severe cognitive impairment, psychiatric disorder, language communication disorder, or other conditions that preclude completion of study assessments
  • Any other condition judged by the investigator to make the patient unsuitable for participation in this study
  • Requiring prolonged intensive care unit treatment, continuous advanced life support, or continuous intensive medical management
  • Unable to use a smartphone or study device and without a caregiver who can assist with use
  • Currently participating in another interventional clinical study that may affect the primary outcome of this trial

Check if you might fit

Answer for yourself. This is not a decision: only the study team can say whether you can take part.

  • Are you between 18 and 80 years old?

Where in China

  • the First Affiliated Hospital of Guangzhou Medical University, Guangzhou,Guangdong 510120Guangzhou, ChinaContact: Jianxing HeTaking people

About the trial

What the trial wants to find out

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.

Read full original descriptionShow less

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.

The 2 groups in the trial

  • Conventional Internet GroupExisting treatment, for comparison

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

    Treatment: Conventional Internet-Based Rehabilitation Information

  • Large Language Model-Assisted Rehabilitation Nursing GroupTreatment being tested

    Participants in this group will receive artificial intelligence-assisted postoperative rehabilitation nursing through a large language model-based system. The system will analyze postoperative patient data and provide individualized rehabilitation recommendations, including pain management, pulmonary function training, and exercise rehabilitation.

    Treatment: Large Language Model-Assisted Rehabilitation Nursing

Questions to ask the study team

  1. How often do I need to come in, and for how long each time?
  2. Are travel costs paid?
  3. Can I keep my own doctor?
  4. What happens if I want to stop?

Contact the study team: see the registry record → Contacts and Locations

Print a page for my doctor

Data and sources

Registry record
Listed on ClinicalTrials.gov.
Official title
Multimodal Artificial Intelligence-Guided Symptom Monitoring and Recovery Management After Lung Cancer Surgery: A 20-Center Prospective Randomized Controlled Trial
Plain-language title
AI-Guided Recovery Support After Lung Cancer SurgeryGenerated from the registry record. The registry title is the official one.
AI summary
From the trial's eligibility criteria. Read by machine on 12 November 2026.
Fit questions
Built from NCT07588737, who can take part
Record updated
15 May 2026