Multimodal AI-Guided Recovery Management After Lung Cancer Surgery (AI-LungRecover)
Multimodal Artificial Intelligence-Guided Symptom Monitoring and Recovery Management After Lung Cancer Surgery: A 20-Center Prospective Randomized Controlled Trial
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.
調査の概要
状態
詳細な説明
Patients recovering from lung cancer surgery commonly experience postoperative symptoms such as pain, cough, shortness of breath, fatigue, disturbed sleep, reduced physical activity, and anxiety. These symptoms may affect recovery experience, daily function, adherence to respiratory rehabilitation, and timely initiation of subsequent anticancer treatment. Conventional postoperative management usually relies on inpatient nursing care, discharge education, scheduled outpatient follow-up, and patient-initiated contact with healthcare professionals. However, symptoms can change rapidly during the early postoperative period and after discharge, and conventional follow-up may not provide continuous and individualized identification of symptom burden, recovery needs, or potential risks.
This trial will evaluate whether a multimodal AI-guided postoperative recovery management system can improve early recovery after lung cancer surgery. The AI-guided system is designed to integrate multiple types of patient-generated data, including patient-reported symptoms, vital signs, physical activity, respiratory rehabilitation completion, medication and nursing adherence, and, when needed, wound, drainage-site, or chest-related images or short videos. The system will provide postoperative recovery feedback, general nursing advice, respiratory rehabilitation reminders, activity guidance, symptom management suggestions, and risk stratification alerts.
The AI system is not intended to diagnose postoperative complications, prescribe medication, recommend self-adjustment of prescription drugs, or replace the clinical judgment of physicians or nurses. For red-flag symptoms or high-risk conditions, the system will advise patients to contact the clinical team or seek medical care. Both study groups will retain access to usual clinical safety pathways throughout the trial.
Participants will be randomly assigned in a 1:1 ratio to the AI-guided recovery management group or the usual postoperative care group. The AI-guided group will receive usual postoperative care plus the multimodal AI recovery management system from postoperative intervention initiation to postoperative day 30. The usual-care group will receive standard postoperative management, including routine inpatient care, pain management, respiratory exercise instruction, activity and diet advice, medication guidance, discharge education, outpatient follow-up arrangements, and routine telephone or online follow-up where applicable. To ensure consistent outcome measurement, participants in both groups will complete patient-reported symptom assessments at the same prespecified time points.
The primary outcome is the number of MDASI-LC-derived target symptom threshold events per patient within 30 days after surgery. Target symptoms include pain, fatigue, disturbed sleep, shortness of breath, and cough. Each target symptom will be assessed using MDASI-LC items or equivalent 0-10 numeric rating scales. A target symptom threshold event is defined as any target symptom score of 4 or higher at a prespecified assessment time point. The study will also evaluate overall target symptom burden, postoperative quality of recovery, time to recovery to a mild-symptom state, MDASI-LC functional interference, adherence to respiratory rehabilitation exercises, adherence to physical activity recommendations, unplanned healthcare utilization, pulmonary complications, unplanned readmission, and AI-related safety and feasibility outcomes.
研究の種類
入学 (推定)
段階
- 適用できない
連絡先と場所
研究連絡先
- 名前：Jianxing He
- 電話番号：+8618320729913
- メール：drjianxing.he@gmail.com
研究場所
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Guangdong
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Guangzhou、Guangdong、中国
- 募集
- the First Affiliated Hospital of Guangzhou Medical University, Guangzhou,Guangdong 510120
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参加基準
適格基準
就学可能な年齢
- 大人
- 高齢者
健康ボランティアの受け入れ
説明
Inclusion Criteria:
- 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.
Exclusion Criteria:
- 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.
- Requiring prolonged intensive care unit treatment, continuous advanced life support, or continuous intensive medical management.
- Severe cognitive impairment, psychiatric disorder, language communication disorder, or other conditions that preclude completion of study assessments.
- 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.
- Any other condition judged by the investigator to make the patient unsuitable for participation in this study.
研究計画
研究はどのように設計されていますか？
デザインの詳細
- 主な目的：支持療法
- 割り当て：ランダム化
- 介入モデル：並列代入
- マスキング：なし（オープンラベル）
武器と介入
参加者グループ / アーム |
介入・治療 |
|---|---|
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アクティブコンパレータ：Conventional Internet Group
Participants in this group will receive routine postoperative rehabilitation nursing and use conventional internet-based information resources for rehabilitation-related information after thoracic surgery.
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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.
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実験的：Large Language Model-Assisted Rehabilitation Nursing Group
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.
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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.
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この研究は何を測定していますか？
主要な結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Number of MDASI-LC-Derived Target Symptom Threshold Events Within 30 Days After Surgery
時間枠：From postoperative intervention initiation to postoperative day 30
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The outcome is the number of target symptom threshold events per patient from postoperative intervention initiation to postoperative day 30.
Target symptoms include pain, fatigue, disturbed sleep, shortness of breath, and cough.
Each target symptom will be assessed using MDASI-LC items or equivalent 0-10 numeric rating scales.
A target symptom threshold event is defined as any target symptom score of 4 or higher at a prespecified assessment time point.
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From postoperative intervention initiation to postoperative day 30
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二次結果の測定
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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Overall Target Symptom Burden Within 30 Days After Surgery
時間枠：From postoperative intervention initiation to postoperative day 30
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Overall target symptom burden will be assessed using MDASI-LC target symptom items, including pain, fatigue, disturbed sleep, shortness of breath, and cough.
The outcome may be summarized as the mean score of the five target symptoms at each prespecified time point or as the area under the symptom burden curve over 30 days.
Higher scores indicate greater symptom burden.
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From postoperative intervention initiation to postoperative day 30
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Postoperative quality of recovery score
時間枠：Postoperative baseline, day 7, day 14, and day 30
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Postoperative quality of recovery will be assessed using the QoR-15 or QoR-40 questionnaire.
The questionnaire evaluates domains such as pain, physical comfort, emotional state, physical independence, and psychological support.
Higher scores indicate better postoperative recovery quality.
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Postoperative baseline, day 7, day 14, and day 30
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Time to Recovery to a Mild-Symptom State
時間枠：From postoperative intervention initiation to postoperative day 30
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Time to recovery to a mild-symptom state is defined as the time from postoperative intervention initiation to the first day when all target symptom scores are below 4 and remain below 4 for at least 3 consecutive days.
Target symptoms include pain, fatigue, disturbed sleep, shortness of breath, and cough.
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From postoperative intervention initiation to postoperative day 30
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MDASI-LC Functional Interference Score
時間枠：Postoperative baseline, day 7, day 14, and day 30
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Functional interference will be assessed using MDASI-LC interference items.
These items evaluate the extent to which postoperative symptoms interfere with daily function, including general activity, walking, work or household tasks, mood, relations with others, and enjoyment of life.
Higher scores indicate greater functional interference.
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Postoperative baseline, day 7, day 14, and day 30
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Adherence to Respiratory Rehabilitation Exercises
時間枠：From postoperative intervention initiation to postoperative day 30
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Adherence to respiratory rehabilitation exercises will be assessed as the proportion of prescribed or recommended respiratory training sessions completed by the patient.
Exercises may include deep breathing, effective coughing, pursed-lip breathing, incentive spirometer training, or other center-specific postoperative pulmonary rehabilitation exercises.
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From postoperative intervention initiation to postoperative day 30
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Adherence to Postoperative Physical Activity Recommendations
時間枠：From postoperative intervention initiation to postoperative day 30
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Adherence to postoperative physical activity recommendations will be assessed using patient self-report, smartphone step counts, wearable device records, or study logs, where available.
Activities may include early ambulation, walking, home-based light physical activity, or achievement of prespecified daily step goals.
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From postoperative intervention initiation to postoperative day 30
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Unplanned Healthcare Utilization Within 30 Days After Surgery
時間枠：Within 30 days after surgery
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Unplanned healthcare utilization is defined as any unplanned healthcare contact related to postoperative recovery within 30 days after surgery.
Events may include unplanned outpatient visits, urgent telephone or online consultations, emergency department visits, or unplanned hospital readmissions.
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Within 30 days after surgery
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Pulmonary Complications and Unplanned Readmission Within 30 Days After Surgery
時間枠：Within 30 days after surgery
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This outcome includes pulmonary complications and unplanned readmission within 30 days after surgery.
Pulmonary complications may include pneumonia, atelectasis requiring clinical intervention, respiratory failure, need for noninvasive or invasive ventilation, clinically significant pleural effusion, pneumothorax requiring treatment, prolonged air leak, or other pulmonary complications recorded by the clinical team.
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Within 30 days after surgery
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その他の成果指標
結果測定 |
メジャーの説明 |
時間枠 |
|---|---|---|
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AI High-Risk Alert Performance
時間枠：From postoperative intervention initiation to postoperative day 30
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This outcome evaluates the performance of AI-generated high-risk alerts in the AI-guided recovery management group.
It includes the incidence of AI-generated high-risk alerts and the missed high-risk alert rate.
The incidence is defined as the proportion of participants who receive at least one AI-generated high-risk alert during the postoperative monitoring period.
The missed high-risk alert rate is defined as the proportion of participants with clinically confirmed postoperative complications, severe symptom deterioration, or conditions requiring escalation of care who did not receive an AI-generated high-risk alert within the prespecified monitoring window.
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From postoperative intervention initiation to postoperative day 30
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Incidence of Clinically Inappropriate AI-Generated Recommendations
時間枠：From postoperative intervention initiation to postoperative day 30
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This outcome evaluates the proportion of AI-generated recommendations judged by an independent clinical safety review committee to be clinically inappropriate, unsafe, potentially misleading, or inconsistent with prespecified postoperative recovery management rules.
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From postoperative intervention initiation to postoperative day 30
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AI Monitoring Feasibility and Data Quality
時間枠：From postoperative intervention initiation to postoperative day 30
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This outcome evaluates the feasibility of AI-based recovery monitoring and the adequacy of uploaded data in the AI-guided recovery management group.
It includes patient adherence to AI-based recovery monitoring and the data quality adequacy rate.
Patient adherence is defined as the proportion of prespecified monitoring days on which participants complete symptom reporting, vital sign upload, rehabilitation behavior recording, and required image or video upload, where applicable.
Data quality adequacy is defined as the proportion of uploaded symptom data, vital sign data, rehabilitation records, and image or video data that meet prespecified quality criteria, including completeness, clarity, interpretability, and timestamp completeness.
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From postoperative intervention initiation to postoperative day 30
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協力者と研究者
研究記録日
主要日程の研究
研究開始 (実際)
一次修了 (推定)
研究の完了 (推定)
試験登録日
最初に提出
QC基準を満たした最初の提出物
最初の投稿 (実際)
学習記録の更新
投稿された最後の更新 (実際)
QC基準を満たした最後の更新が送信されました
最終確認日
詳しくは
本研究に関する用語
キーワード
その他の研究ID番号
- ES-2025-144-01
個々の参加者データ (IPD) の計画
個々の参加者データ (IPD) を共有する予定はありますか?
IPD プランの説明
De-identified individual participant data underlying the results reported in the primary trial publication may be shared with qualified researchers upon reasonable request and approval by the study steering committee. Shared data may include baseline characteristics, group allocation, prespecified outcome data, adverse event data, and analysis datasets used for the primary and secondary outcome analyses.
Data sharing will exclude directly identifiable information, raw images or videos that may contain identifiable information, free-text data with privacy risks, and proprietary components of the AI system. Data requestors will be required to submit a methodologically sound proposal, obtain approval from the study steering committee, and sign a data use agreement before data access is granted.
IPD 共有サポート情報タイプ
- STUDY_PROTOCOL
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