AI Help for Doctors Reading Chest CT Scans in Lung Cancer
Tests whether an AI tool helps doctors interpret chest CT scans for lung cancer.
Plain-language title generated from the registry record
Registry title: AI-Assisted Chest CT Interpretation Across the Lung Cancer Care Continuum
Key facts
- Where
- Wuhan, ChinaSee the site
AI summary: who the study is looking for
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 physicians who have experience reading chest CT scans. They will read scans twice: once on their own and once with AI help.
- Age
- 18 years or older
- Sex
- All sexes can join
Main reasons for not taking part
- Did not complete the required study training
- Cannot or will not complete both reading sessions
- A protocol deviation likely to compromise the validity of the reader-study data
Read by machine on 12 November 2026.
Where in China
- Union Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhan, ChinaContact: Lian Yang, PhDNo longer taking part
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
- Trial code
- NCT07829640
- Record updated
- 21 September 2026
- Original description
This investigator-initiated, single-center study consists of a retrospective artificial intelligence model-development stage and a prospective physician reader-study stage. Deidentified chest CT examinations acquired during routine clinical care between January 1, 2021, and December 31, 2024, will be used to develop, validate, and lock artificial intelligence models for lung cancer-related imaging tasks.Read full original descriptionShow less
Development of a Chest CT-Based Artificial Intelligence Model Across the Lung Cancer Care Continuum and a Prospective Randomized Crossover Reader Study of Its Clinical Decision-Support Performance
This investigator-initiated, single-center study consists of a retrospective artificial intelligence model-development stage and a prospective physician reader-study stage. Deidentified chest CT examinations acquired during routine clinical care between January 1, 2021, and December 31, 2024, will be used to develop, validate, and lock artificial intelligence models for lung cancer-related imaging tasks.
In the prospective stage, approximately 12 to 15 physicians with experience in chest CT interpretation will complete two reading sessions in randomized order: unaided interpretation and AI-assisted interpretation. The sessions will be separated by a washout period of at least 4 weeks. The primary objective is to compare diagnostic performance between AI-assisted and unaided interpretation. Secondary objectives include reading time, diagnostic confidence, inter-reader agreement, and errors related to incorrect AI suggestions.
All readings will be performed in an offline research environment. AI outputs will not be used for patient care, and the study will not add imaging examinations, treatment, or follow-up for patients.
Inclusion: Physicians with education or training relevant to medical imaging; Experience in interpreting chest CT examinations; Ability to complete the required study training and both reading sessions; Willingness to provide written informed consent and comply with study procedures.
Exclusion: Failure to complete the required study training; Inability or unwillingness to complete both reading sessions as required; Any protocol deviation likely to compromise the validity of the reader-study data.