Cure My Disease

Don't miss your cure!

 Log in / Sign up

AI chest X-Rays could catch hidden lung disease in zambia

NCT ID NCT07816523

Diagnosis Sponsor: Centre for Infectious Disease Research in Zambia Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 11, 2026 · Last updated Sep 11, 2026

Summary

This project tests an integrated approach to lung health in Zambia. Community and primary care clinics screen people with cough, breathlessness or other respiratory symptoms for TB, post-TB lung disease, COPD, silicosis and pneumonia. All participants get a symptom check and a digital chest X-ray read with AI support. Researchers want to see how many people are screened and how many are diagnosed with TB or other lung conditions, and whether this model improves referrals and care.

What this could mean

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

Active substance
integrated lung health screening with AI-enabled digital chest X-ray
What this could lead to
If it works, this model could help Zambia and similar countries find TB and other lung diseases earlier, when treatment works best. It could also give health planners evidence on how common non-TB respiratory diseases are.
What could go wrong
Screening large numbers of people can miss cases or produce false alarms that strain clinics. AI chest X-ray tools need local validation, and finding a disease only helps if treatment and follow-up are available.

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.

Participants

About 20,300 people

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

Started

Mar 2025

Expected to finish

Sep 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.

Who is studied

The evaluation population comprising individuals receiving services from the five selected TB diagnostic facilities in Kafue District, namely Kafue District Hospital, Nangongwe Health Centre, Railway Clinic, Kafue Estates Clinic, and Chisankane Rural Health Centre, representing the primary TB diagnostic sites within the district. The target population including presumptive TB patients presenting with symptoms suggestive of tuberculosis, household contacts of confirmed TB patients, newly diagnosed people living with HIV (PLHIV), individuals experiencing respiratory symptoms or chronic respiratory conditions, and workers from dust-generating industries facing increased risk of occupational lung diseases such as silicosis. The study evaluating the implementation of integrated service delivery (ISD) for TB and other respiratory diseases among these high-risk populations through facility-based and community-based screening activities.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

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: For the intergrated service delivery screening for lung health conditions: 1. Presumptive TB patients (individuals with symptoms or findings suggestive of TB). 2. Household contacts of confirmed TB patients. 3. Newly diagnosed people living with HIV (PLHIV). 4. People with respiratory conditions. 5. Workers from dust-generating industries within the district, such as mining and related 6. Persons who have a history of cigarrete smoking 7. Any person who feels at risk of lung health conditions, with or without symptoms. For the nested sub-studies the following are the inclusion criteria: Evaluation of the sound AI screening tool: 1. Presumptive TB patient either by symptoms or determined by chest Xray 2. Aged 18 and above 3. Provides written informed consent to participate in the study Post-TB Lung disease sub-study 1. Persons diagnosed with bacteriologically confirmed TB with WHO Recommended Rapid Molecular diagnostic tests or sputum smear 2. Aged 18 and above 3. Provides written informed consent to participate in the sub-study Exclusion Criteria: For the nested sub-studies, the following are the exclusion criteria Evaluation of the sound AI screening tool: 1. Aged less than 18 2. Does not provide written informed consent 3. Not a presumptive TB patient by chest Xray or clinical symptoms. Post-TB Lung disease sub-study 1. Aged less than 18 2. Does not provide written informed consent 3. Clinically diagnosed TB.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Computer aided diagnosis are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

Conditions

The condition(s) this trial relates to.

chronic obstructive pulmonary disease COPD, severe early onset latent tuberculosis infection post-transplant lymphoproliferative disease respiratory system disorder tuberculosis

As listed by the trial registrant

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

Computer aided diagnosis COPD (chronic obstructive pulmonary disease) PTLD TB - tuberculosis

Contacts and locations

Locations

  • Kafue District Hospital, Nangongwe Health Centre, Railway Clinic, Kafue Estates Clinic, and Chisankane Rural Health Centre

    Kafue, Lusaka Province, 10101, Zambia

More trials for these conditions

Other studies related to the condition(s) this trial covers.