Clinical Trials Logo
  1. Home
  2. Machine Learning
  3. NCT04399811

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
See also
  Status Clinical Trial Phase
Recruiting NCT05040958 - Carotid Atherosclerotic Plaque Load and Neck Circumference
Completed NCT04440553 - A Mobile App to Increase Physical Activity in Students N/A
Completed NCT04966598 - Machine Learning Predict Acute Kidney Injury in Patients Following Cardiac Surgery
Completed NCT04828655 - Analysis of Bioparametric Measures for Correlating Daily Habits and Reducing Blood Pressure N/A
Completed NCT04977687 - Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery
Recruiting NCT06277297 - Prognotic Role of CMR in Takotsubo Syndrome
Recruiting NCT06204133 - Model Study on Cervical Cancer Screening Strategies and Risk Prediction
Completed NCT05085743 - Prediction of Endotracheal Tube Depth by Using Deep Convolutional Neural Networks
Not yet recruiting NCT05809232 - Impact of Machine Learning-based Clinician Decision Support Algorithms in Perioperative Care N/A
Recruiting NCT05906719 - Machine Vision Based MDS-UPDRS III Machine Rating
Completed NCT06278272 - AI Evaluation of Pancreatic Exocrine Insufficiency in CP Patients
Withdrawn NCT05442762 - Social Media-based Vaccine Confidence and Hesitancy Monitoring
Not yet recruiting NCT06421480 - Using Machine Learning to Detect Risky Behavior in Psychiatric Clinics
Not yet recruiting NCT06423066 - Developing a Machine Learning Model to Predict Pleural Adhesion Preoperatively Using Pleural Ultrasound
Not yet recruiting NCT06428344 - Accuracy of an Artificial Intelligence-assisted Diagnostic System for Caries Diagnosis: a Prospective Multicenter Clinical Study
Not yet recruiting NCT05797064 - Establishment of a Feasibility Model for NOSE Surgery Based on Machine Learning
Recruiting NCT05410171 - Machine Learning-based Early Clinical Warning of High-risk Patients N/A
Active, not recruiting NCT04192175 - Identification of Patients Admitted With COPD Exacerbations and Predicting Readmission Risk Using Machine Learning
Completed NCT05433519 - Diagnostic Accuracy of a Novel Machine Learning Algorithm to Estimate Gestational Age
Recruiting NCT05858892 - Comparison of an Artificial Intelligence-Assisted Rehabilitation Program for Shoulder Musculoskeletal Disorders and the Clinical Decision Making of Therapists