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Near-infrared Vision for Microcirculatory Status — NVIM  

Machine Learning Clinical Trial

Official title:
Machine Learning-Based Near-infrared Vision to Evaluate the Microcirculatory of Critical Ill Patients: A Prospective Observational Study

Clinical Trial Summary

The investigators aimed to combine the image of near-infrared vision and machine learning method to evaluate the microcirculatory status of critical ill patients.

Clinical Trial Description

The heat distribution of body is determined by the circulatory status. The investigators plan to the near-infrared vision to collect heat distribution information of limbs. Then, the machine learning method will be performed to recognize the subtle differences between images. Due to lack of golden standard of microcirculatory status, indirect parameters (such as lactate clearance, capillary refill time) and clinical outcomes will be recorded to evaluate the performance of maching learning model. ;

Study Design

Related Conditions & MeSH terms

Clinical Trial Details
NCT number NCT04399811
Study type Observational
Source Shanghai Zhongshan Hospital
Contact Zhe Luo
Phone +8613916127028
Email luo.zhe@zs-hospital.sh.cn
Status Not yet recruiting
Phase
Start date May 17, 2020
Completion date December 31, 2023
View Details
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