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Clinical Trial Summary

The aim of the study is to identify morphological and functional biomarkers of post-operative recovery after vitreoretinal surgery, using decisional support systems (DSS), based on multimodal big-data analysis by means of machine learning techniques in daily clinical practice


Clinical Trial Description

The aim of the study is to identify morphological and functional biomarkers of post-operative recovery after vitreoretinal surgery. Identifying the biomarkers and assessing the predictivity of recovery will make it possible to highlight the categories of patients who can benefit most from surgical treatment, and to target the patient more precisely for personalised medicine and surgery. The introduction of new decisional support systems (DSS), based on multimodal big-data analysis through machine learning techniques in daily clinical practice, is providing new useful information in patient assessment for personalised surgery. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05747144
Study type Observational
Source Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Contact Maria Cristina Savastano, MD,PhD
Phone +39 3384443002
Email mariacristina.savastano@unicatt.it
Status Recruiting
Phase
Start date January 15, 2021
Completion date January 16, 2025

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