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X-ray examination is one of the most commonly used imaging modalities, especially chest X-ray, which is routinely performed for hospitalized patients. However, due to the low density resolution of X-ray images, radiologists' ability to diagnose diseases-particularly small lesions-is often affected. Studies have shown that the diagnostic accuracy of radiologists using chest X-rays is only around 70%, which does not meet clinical demands.
Based on this, we developed an artificial intelligence model to assist radiologists in interpreting X-ray images and generating reports, with the aim of improving diagnostic accuracy and reducing interpretation time.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Radiologist diagnostic group | After the patient undergoes an X-ray examination, a radiologist generates the report and makes the diagnosis. |
| |
| AI-assisted radiologist diagnostic group | After the patient undergoes an X-ray examination, an AI-assisted radiologist generates the report and makes the diagnosis. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| AI-assisted radiologist diagnostic group | Diagnostic Test | Based on the previously developed X-ray image diagnosis and report generation model, radiologists are assisted in interpreting X-ray images and generating reports. |
| Measure | Description | Time Frame |
|---|---|---|
| Area Under the Curve | The primary outcome was the AUC to evaluate diagnostic performance, comparing radiologists with and without AI assistance. | From enrollment to the end of X-ray image acquisition at 1 week |
| Measure | Description | Time Frame |
|---|---|---|
| X-ray report generation time | X-ray report generation time refers to the amount of time required to produce a diagnostic report after an X-ray examination has been performed. It typically measures the interval from when the X-ray images are acquired to when the radiologist (with or without AI assistance) completes and finalizes the report. | From enrollment to the end of X-ray image acquisition at 1 week |
| Measure | Description | Time Frame |
|---|---|---|
| Radiologist score | Radiologist score refers to the evaluation or rating assigned by senior radiologists based on imaging findings generated by AI or AI+radiologist. | From enrollment to the end of X-ray image acquisition at 4 weeks |
Inclusion Criteria:
Exclusion Criteria:
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Patients scheduled to undergo X-ray examination
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Huangxuan Zhao, PhD | Contact | 18971676985 | zhao_huangxuan@sina.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Wuhan Union Hospital | Wuhan | Hubei | 430022 | China |
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| Radiologist diagnostic group | Diagnostic Test | After the patient undergoes an X-ray examination, a radiologist generates the report and makes the diagnosis. |
|
| Wuhan Union Jinyin Lake Hospital | Wuhan | Hubei | 430022 | China |
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| Wuhan Union West Hospital | Wuhan | Hubei | 430022 | China |
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| The First Affiliated Hospital of Zhengzhou University | Zhengzhou | China |
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