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Can AI tailor recovery instructions after lung cancer surgery?

NCT ID NCT07827183

Symptom relief Sponsor: Xiamen University Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now This study
This trial is taking on new participants right now.
Not yet recruiting
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

First seen Sep 18, 2026 · Last updated Sep 18, 2026

Summary

Researchers are testing whether an AI-generated, personalized discharge plan improves the quality of discharge teaching and recovery for people who had lung cancer surgery. The trial enrolls 156 adults who had surgery for stage I to III lung cancer and are going home to recover. Half receive routine discharge education with a standard booklet, and half receive the same routine education plus an AI-personalized plan built from their surgery details, symptoms, medications, home situation, and other health information. A nurse reviews all AI-generated content before patients see it. The study measures discharge teaching quality on the day patients leave the hospital and tracks self-efficacy for rehabilitation and quality of life one month later.

What this could mean

Our plain-language read of the trial. This is informational only, not medical advice or a prediction.

Active substance
AI-personalized discharge education, an individualized recovery plan generated by an artificial intelligence system and reviewed by a nurse
What this could lead to
If it works, hospitals could give lung cancer surgery patients discharge instructions tailored to their surgery, symptoms, and home situation, which may help them manage recovery and know when to seek care.
What could go wrong
This is a single-center behavioral study of 156 people, so results may not apply to other hospitals or patient groups. Better discharge teaching may not translate into measurable differences in recovery, and AI-generated advice still depends on nurse review and patient follow-through.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Study facts

What this study's own registry entry says, in plain language.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

About 156 people

The number the study aims to enrol. It can still change while the study runs.

Started

Aug 2026

Expected to finish

Nov 2026

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Ages

18 to 80 years

Sex

Anyone

Healthy volunteers

Not accepted

This study is not open to healthy volunteers. The entry requirements below say who it is open to.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

Inclusion Criteria: 1. Pathologically confirmed primary lung cancer and underwent radical lung cancer surgery by thoracoscopic or open approach, including lobectomy, pneumonectomy, or wedge resection. 2. Age 18 to 80 years. 3. Clinical stage I to III. 4. No distant organ metastasis. 5. Clinically stable after surgery, conscious, and able to perform basic listening, speaking, and reading activities, with planned discharge to home for recovery. 6. The participant or primary caregiver is able to use a smartphone and WeChat. 7. Able and willing to provide informed consent and voluntarily participate in the study. Exclusion Criteria: 1. Recurrent lung cancer or previous treatment with targeted therapy, chemotherapy, or radiotherapy. 2. Severe aphasia, cognitive impairment (MMSE \<24), or psychiatric disorders that prevent independent completion of study questionnaires. 3. Severe cardiac, hepatic, or renal dysfunction, or another malignant tumor. 4. Severe postoperative complications requiring prolonged hospitalization, such as bronchopleural fistula or major bleeding. 5. Participation in another interventional clinical study. 6. Unable to complete the 1-month follow-up because of travel or residence outside the study area after discharge.

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Conditions

The condition(s) this trial relates to.

disease lung cancer lung neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Lung cancer (diagnosis)

How to take part

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  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

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  3. A doctor treating you

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Contacts and locations

Locations

  • Siping Central People's Hospital

    RECRUITING

    Siping, Jilin, 136000, China

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