N/A N=20 Estimating Patient Size From a Single Radiograph
Testing a Computational Model to Estimate Patient Size
Primary: Accuracy of the Computational Model — 5.8 percentage agreement (est/measured)
Clinical Trial Search
Completed trials with posted results — search by concept, filter by the parameters that matter at the bedside.
N/A N=150 Generation of Prediction Equations for BIA of the Elderly
Healthy Elderly
Primary: Total Body Water — 1.85 liter
N/A N=138 Evaluation of the Accuracy of a Computer Vision-based Tool for Assessment of Total Body Fat Percentage
Obesity
Primary: Comparison of Body Fat Percentage Estimates to DXA References Classified by Body Mass Index — 2.50; 6.36; 5.75; 7.66 Total Body Fat Percentage
N/A N=642 Validation of the Mercy TAPE
Weight
Primary: Predictive Performance of the Mercy TAPE (Percent of Participants Predicted Within 20% of Their Actual Weight) — 98.1; 93.3 percentage of participants
N/A N=329 Anthropometric and US-Guided Difficult Intubation Prediction With ML Models
Difficult Endotracheal Intubation · Artificial Intelligence
Primary: Support Vector Machine Algorithm Percentage of Accuracy in Predicted Difficult Intubations — 89.39; 77.27; 87.88; 80.30 percentage of estimate
Phase 4 N=139 Use of Electrical Impedence to Measure Lean Body Weight as a Determinant of the Dose of Contrast Media for Abdominal CT
IV Contrast Dosing
Primary: Difference in Enhancement of the Liver and Blood Vessels Over Time, Measured in Hounsfield Units (HU) — 116; 124; 121; 120 Hounsfield units (HU)
N/A N=673 Verification of Prediction Algorithm
Shortness of Breath Episode · Tachycardia · Bradycardia
Primary: Number of Subjects With a Cardiopulmonary Event — 145 Participants
N/A N=2,780 Realtime Streaming Clinical Use Engine for Medical Escalation
Clinical Deterioration · Hospital Medicine · Monitoring, Physiologic
Primary: Overall Rate of Escalation — 12.3; 11.3 escalations per 1,000 patient bed days — p=< 0.001
N/A N=120 Comparing Medical Body Composition Analyzer Seca mBCA 555 With Seca mBCA 515
Bioelectrical Impedance Measurement of Healthy Adults
Primary: SMM — 0.34 kg
N/A N=60 Propofol Pharmacokinetics and Pharmacodynamics Modelling
Intravenous Anesthetic Agent Overdose
Primary: Plasma Propofol Concentration (mcg/mL) — 2.36; 3.12; 2.91 mcg/mL
N/A N=362 Validation of the Stayhealthy BC1 Body Comp Analyzer
Body Composition
Primary: Percent Body Fat — 20.3; 20.4; 32.8; 33.4 percent body fat — p=0.001
Phase 2 N=174 Association Between Body Size and Response to Hydromorphone in ED
Pain
Primary: Correlation Between Change in Pain Intensity and TBW at 30 Minutes Post-treatment — -0.03 correlation coefficient
N/A N=541 Assessment of Acute Disease to Reduce Imaging Costs
Acute Coronary Syndrome · Pulmonary Embolism
Primary: Efficiency--Mean Cost of Care — 3933; 2761 US Dollars
N/A N=20 Developing a COMputerised Bone Age Tool
Bone Diseases, Developmental
Primary: Number of Participants With Observer Agreement Between Bone Age as Assessed From Left Hand and Wrist DXA Compared to Radiographs — 20 Participants
N/A N=142 A Pilot Study to Evaluate the BodyLogic TM System (Mentor) in Augmentation Mammaplasty
Breast Augmentation · Breast Reconstruction
Primary: Reoperation Rates — 6 participants
N/A N=43 PortionSize Study 1 Laboratory-based Evaluation)
Dietary Habits
Primary: Difference in Simulated Energy (kcal) Intake Between the Criterion Measure (Weighed Food) and Two Smartphone Apps (PortionSize and MyFitness Pal). — -150.1; 79.8 kcal
N/A N=30 Effects of Body Mass Index on the Hyperemic Response to Regadenoson
Obesity · Endothelial Dysfunction · Decreased Vascular Flow
Primary: Myocardial Perfusion Reserve Measured by Quantitative Perfusion MRI (Ratio of Myocardial Blood Flow During Stress Over Myocardial Blood Flow at Rest) — 2.25; 2.44 ratio…
N/A N=1,903 Validation of an Artificial Intelligence-based Algorithm for Skeletal Age Assessment
Bone Age
Primary: Paired Difference of Skeletal Age Estimate — 5.95; 5.36 months — p=0.04
N/A N=9 Toward an Automated Method of Abdominal Fat Segmentation of MR Images
Obesity
Primary: Visceral Fat Volume With Automated Analysis — 994 cubic centimeters
N/A N=233 Utilizing CT Based Imaging Parameters of Body Composition to Understand Heterogeneity of Response to Biologic Therapies in Severe Asthma Cohorts
Asthma
Primary: Chest Wall Muscle Size — 95.49; 97.82; 87.98; 102.86 cm2
N/A N=144 Integrated Predictive Monitoring for Sepsis and Necrotizing Enterocolitis
Sepsis · Necrotising Enterocolitis Neonatal
Primary: Number of Participants With Sepsis or Necrotizing Enterocolitis — 20; 124 Participants
N/A N=86 Using Electrical Bioimpedance Assessments to Estimate Perioperative Total Body Water and Postoperative Fluid Need
Intestinal Cancer · Diverticulitis · Pancreatic Cancer
Primary: Bioimpedance Assessment — 0.53 ohms
N/A N=77 Minimally Invasive Cardiac Output Monitoring Device
Cardiac Event
Primary: Establishment of a Dataset to Create an Algorithm to Measure Cardiac Output — 75; 2 Participants
N/A N=29 Clinical Effectiveness of Body Fat Distribution Imaging in Real-World Practice: The BODY-REAL Study
Overweight and Obesity · PreDiabetes · Type 2 Diabetes
Primary: Change in BMI — 0.43; 0; 4.4; 0 kg/m2 — p=0.2
N/A N=39 Clinical Evaluation of Cardiac Output Estimation Based on Pulse Wave Transit Time
Myocardial Infarction · Myocardial Ischemia
Primary: esCCO (Estimated Continuous Cardiac Output) Monitor — 5.6 liters/minute
N/A N=222 Pilot Study for Postoperative Machine Learning
Surgery--Complications
Primary: Overall Handoff Effectiveness — 3.9; 3.9; 4.0 score on a 0-5 scale — p=0.524
N/A N=160 A Novel Way to Estimate Epidural Depth in Morbidly Obese Parturient
Obesity
Primary: Correlation Between Actual Epidural Needle Depth (ND) and Estimated Epidural Depth (Est-D) — 0.905; 0.899 correlation coefficient — p=< 0.05
N/A N=177 AI-Powered Fall Risk Prediction in Nursing Care
Accidental Falls · Risk Assessment · Nursing Assessment
Primary: Fall Risk Categories Based on the Morse Fall Scale — 131; 41; 5 Participants
N/A N=15 Testing of Computer Aided Detection Software for Riverain Medical Group
Lung Cancer
Primary: Improvement in Cancer Detection as Measured by Localized Receiver Operating Characteristic) LROC Changes Under the LROC Curve. — 0.460; 0.558 unitless — p=0.05
N/A N=735 Use of Predictive Modeling to Improve Operating Room Scheduling Efficiency
Operating Room Scheduling
Primary: Difference Between the Actual and Predicted Length of Operative Day (in Minutes) — 30.8; 7.2 Minutes — p=0.024