Clinical Trials Search | Clareo Health

Showing 1-2 of 2 trials

Diagnostic Efficacy of CNN in Predicting Intraoperative Complications and Postoperative Outcomes in SMILE

NCT06204926

To evaluate the diagnostic efficiency of the neural network in predicting complications of Small Incision Lenticule Extraction in a multi-center cross-sectional study.

Deep Convolutional Neural NetworkSmall-incision Lenticule Extraction (SMILE) SurgeryIntraoperative Complications+1 more

Second Affiliated Hospital of Nanchang University1,250 participantsStarted Jun 2021

Nanchang, Jiangxi, China

COMPLETED

Diagnostic Efficacy of CNN in Differentiation of Visual Field

NCT03759483

Glaucoma is currently the leading cause of irreversible blindness in the world. The multi-center study is designed to evaluate the efficacy of the convolutional neural network based algorithm in differentiation of glaucomatous from non-glaucomatous visual field, and to assess its utility in the real world.

Diagnositic Efficacy of Deep Convolutional Neural Network in Differentiation of Glaucoma Visual Field From Non-glaucoma Visual Field

Sun Yat-sen University437 participantsStarted Mar 2019

Guangzhou, Guangdong, China

Data from ClinicalTrials.govTerms

Showing 1-2 of 2 trials

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Diagnostic Efficacy of CNN in Predicting Intraoperative Complications and Postoperative Outcomes in SMILE

NCT06204926

To evaluate the diagnostic efficiency of the neural network in predicting complications of Small Incision Lenticule Extraction in a multi-center cross-sectional study.

Deep Convolutional Neural NetworkSmall-incision Lenticule Extraction (SMILE) SurgeryIntraoperative Complications+1 more

Second Affiliated Hospital of Nanchang University1,250 participantsStarted Jun 2021

Nanchang, Jiangxi, China

COMPLETED

Diagnostic Efficacy of CNN in Differentiation of Visual Field

NCT03759483

Glaucoma is currently the leading cause of irreversible blindness in the world. The multi-center study is designed to evaluate the efficacy of the convolutional neural network based algorithm in differentiation of glaucomatous from non-glaucomatous visual field, and to assess its utility in the real world.

Diagnositic Efficacy of Deep Convolutional Neural Network in Differentiation of Glaucoma Visual Field From Non-glaucoma Visual Field

Sun Yat-sen University437 participantsStarted Mar 2019

Guangzhou, Guangdong, China

Data from ClinicalTrials.govTerms

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Diagnostic Efficacy of CNN in Predicting Intraoperative Complications and Postoperative Outcomes in SMILE

Diagnostic Efficacy of CNN in Differentiation of Visual Field

Diagnostic Efficacy of CNN in Predicting Intraoperative Complications and Postoperative Outcomes in SMILE

Diagnostic Efficacy of CNN in Differentiation of Visual Field