Machine Learning Clinical Trial
Official title:
Machine Learning-Based Near-infrared Vision to Evaluate the Microcirculatory of Critical Ill Patients: A Prospective Observational Study
The investigators aimed to combine the image of near-infrared vision and machine learning method to evaluate the microcirculatory status of critical ill patients.
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. ;
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 |
NCT04977687 -
Machine Learning Predict Renal Replacement Therapy After Cardiac Surgery
|
||
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 | |
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Withdrawn |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
|