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CT Image-assisted Detection Software for Focal Liver Lesions (MRMC)

Zhejiang University logo

Zhejiang University

Status

Completed

Conditions

Focal Liver Lesion

Treatments

Device: CT image-assisted detection software

Study type

Interventional

Funder types

Other

Identifiers

NCT06068413
2023-066

Details and patient eligibility

About

To evaluate the safety and effectiveness of the developed and produced CT image-assisted detection software for focal liver lesions before being put into the market.

Enrollment

376 patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • doctors have liver CT scanning experience more than 1 year;

Exclusion criteria

  • persons don't have the license of practicing physician; doctors don't have liver CT scanning experience or have liver CT scanning experience less than 1 year;

Trial design

Primary purpose

Diagnostic

Allocation

Randomized

Interventional model

Parallel Assignment

Masking

Single Blind

376 participants in 2 patient groups

AI-assisted diagnosis
Experimental group
Description:
Doctors diagnose the focal liver lesion with the help of AI.
Treatment:
Device: CT image-assisted detection software
common diagnosis
No Intervention group
Description:
Doctors diagnose the focal liver lesion without the help of AI.

Trial contacts and locations

1

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Central trial contact

Weilin Wang; Zhongquan Sun

Data sourced from clinicaltrials.gov

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