Clinical trials: Algorithms
Weight-Estimation
Can Habitus Adapted Length Based Body Weight Estimation be Improved by Adding Further Parameters?
The purpose of this prospective single center study is to investigate if the accuracy of length based body weight estimation by the already investigated algorithm (CLAWAR) can be improved by adding another parameter.
- Trial name
- Including MUC (NCT02930928)
- Testing
- Accuracy of weight estimation
- Where
- Switzerland
- Volunteers
- 495 people, healthy volunteers welcome
- Sponsor
- University Children's Hospital, Zurich
Attention Deficit Hyperactivity Disorder
System for Determining Ideal Drug Doses for ADHD - Stages 1 and 2
The goal of this study is to create a formal, quantitative methodology to determine what is the most beneficial dose of Central Nervous System (CNS) stimulant (Ritalin, methylphenidate) to improve cognitive and behavioral…
- Trial name
- NCT03523663
- Testing
- no intervention. measure eye movement data
- Where
- United States
- Volunteers
- 46 people, healthy volunteers welcome
- Sponsor
- University of Wisconsin, Madison
Peanut Hypersensitivity
Development of an Algorithm to Better Predict Clinical Responsiveness to Peanut
The purpose of this study is to develop a tool to better predict clinical allergy to peanut, so that those who are skin test positive but non allergic will not have to unnecessarily avoid peanut, and those with true allergy can…
- Trial name
- NCT00243555
- Testing
- allergy skin testing, venepuncture
- Where
- Canada
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Hamilton Health Sciences Corporation
Inflammatory Bowel Disease, Crohn Disease
Deep Endoscopic Remission Assessed by a Surrogate Biomarker in Patients With Inflammatory Bowel Disease
We hypothesize that the number of needed endoscopic procedure performed at IBD patients (adult and children), can be reduced by using an individualized algorithm of symptoms, blood and faecal biomarkers.
- Conditions
- Inflammatory Bowel Disease, Crohn Disease, Ulcerative Colitis
- Trial name
- NCT01861288
- Where
- Denmark
- Volunteers
- 157 people, healthy volunteers welcome
- Sponsor
- Herlev Hospital
Omphalitis
Omphalitis Community Based Algorithm Validation Study
The objective of this study is to develop and test a simple community-based diagnostic algorithm for omphalitis in sub-Saharan Africa.
- Trial name
- OCAVS (NCT01687621)
- Testing
- Diagnostic Algorithm for Community Based Worker for Omphalitis
- Where
- Zambia
- Volunteers
- 1,009 people, healthy volunteers welcome
- Sponsor
- Boston University
Blood Pressure (Low, Normal, High)
SuperSTAT 2.0 Noninvasive Blood Pressure Algorithm Enhancement
The primary objective of this study is to show that the noninvasive blood pressure software algorithm meets engineering requirements.
- Trial name
- SNIPE (NCT01482325)
- Testing
- Blood pressure monitoring with GE Healthcare DASH2500 Patient Monitor
- Where
- 2 sites in United States
- Volunteers
- 31 people, healthy volunteers welcome
- Sponsor
- GE Healthcare
Respiratory Rate, Pulse Oximetry
Validation of Respiration Rate Algorithms
Continuous accurate unobtrusive respiratory rate monitoring may lead to improved patient outcomes, as respiratory rate is thought to be a sensitive marker of patient deterioration.
- Trial name
- NCT01472133
- Testing
- Recording of 12 lead ECG, Recording of lying and standing blood pressure, Recording of chest wall movement
- Where
- United Kingdom
- Volunteers
- 130 people, healthy volunteers welcome
- Sponsor
- Guy's and St Thomas' NHS Foundation Trust
Length, Weight
A Growth Artificial Intelligence Algorithm for leNgth and Weight Study
This is a data collection and machine learning accuracy testing project that aims to a) collect training data to enhance, by machine learning, an artificial intelligence (AI) algorithm for measuring length in infants and young…
- Trial name
- GAINS (NCT06920550)
- Where
- 4 sites in Netherlands, Poland and 1 more
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Nutricia Research
Tuberculosis, Child Health
The DECIDE-TB Trial; Validation of Treatment Decision Algorithms for Childhood Tuberculosis
The Decide-TB project aims to generate evidence for the implementation of a comprehensive Treatment Decision Algorithms (TDA) based approach for TB in children living in high TB burden and resource-limited countries, at District…
- Conditions
- Tuberculosis, Child Health, HIV, Severe Acute Malnutrition
- Trial name
- DTB (NCT06593080)
- Testing
- The comprehensive TDA based approach
- Where
- 29 sites in Zambia
- Volunteers
- 30,240 people, healthy volunteers welcome
- Sponsor
- Chishala Chabala
Difficult Intubation, Complications
Difficult Intubation With Glidescope Video Laryngoscope
A prospective observational study on predictors available and on variables of difficult intubation adopting Gliscope video laryngoscope routinely.
- Trial name
- NCT01789034
- Where
- Italy
- Volunteers
- 2,600 people, healthy volunteers welcome
- Sponsor
- Fondazione I.R.C.C.S. Istituto Neurologico Carlo Besta
Segmentation
Intelligent Segmentation Algorithm of Ultrasonic Image
This project aims to enhance the performance of ultrasonic image analysis by optimizing and refining neural network algorithms, while also collecting and constructing extensive datasets relevant to ultrasonic imagery.
- Trial name
- NCT06646679
- Testing
- Ultrasonic imaging
- Where
- China
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Tongji Hospital
Myopia
Effect of Using Myopia Prediction Algorithm on Myopia School-aged Children
In this study, the investigators aim to perform a prospective, randomized controlled study to compare the myopia development between myopia children using myopia prediction algorithm and myopia children without using myopia…
- Trial name
- NCT04045951
- Testing
- Myopia prediction algorithm
- Where
- China
- Volunteers
- 2,138 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Keratoconus, Eye Diseases
Development of a Keratoconus Detection Algorithm by Deep Learning Analysis and Its Validation on Eyestar Images
Monocentric clinical study to develop an imaging analysis algorithm for the Eyestar 900 to identify keratoconus corneas and improve biometry for intraocular lens calculations
- Conditions
- Keratoconus, Eye Diseases, Cataract, Corneal Ectasia
- Trial name
- DKDA (NCT04763785)
- Testing
- Corneal tomography with Eyestar 900, Corneal tomography with Pentacam, Biometry with IOL-Master
- Where
- Switzerland
- Volunteers
- 4,800 people, healthy volunteers welcome
- Sponsor
- Insel Gruppe AG, University Hospital Bern
Sepsis
Algorithm for Predicting the Unfavorable Course of Sepsis in Children
A comprehensive strategy will be used to investigate the relationship and correlation between 4 diagnostically significant markers relevant for early diagnosis and prediction of complications and death in the development of…
- Trial name
- NCT05908162
- Testing
- Bood leukocyte subsets
- Where
- Belarus
- Volunteers
- 185 people, healthy volunteers welcome
- Sponsor
- The Republican Research and Practical Center for Epidemiology and Microbiology
ADHD
A Comparative Study to Evaluate a Novel Algorithm As a Diagnostic Aid for ADHD in Youth Ages 6-17.
This study aims to demonstrate the accuracy of the MT1 algorithm using the MindTension biometric sensor device as a diagnostic aid for healthcare providers in diagnosing ADHD in youth ages ≥ 6 to ≤17 years.
- Trial name
- NCT06728969
- Testing
- MT1 Auditory startle response patterns analysis algorithm, T.O.V.A. Continuous Performance Test
- Where
- United States
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- MindTension
Heart Murmurs, Mitral Valve Prolapse
Automated Algorithm Based Analysis of Phonocardiograms of Newborns
The purpose of this double-blind pivotal clinical utility study is to determine on a large patient population whether heart murmurs can be reliably detected with high sensitivity and specificity using a locked, automated…
- Conditions
- Heart Murmurs, Mitral Valve Prolapse, Systolic Murmurs
- Trial name
- NCT02105480
- Testing
- Computer aided auscultation (CAA)
- Where
- Austria
- Volunteers
- 220 people, healthy volunteers welcome
- Sponsor
- CSD Labs GmbH
Eye--Refractive Errors
Effect of Using Myopia Prediction Algorithm
In this study, the investigators aim to perform a prospective, randomized controlled study to compare the myopia development between children using myopia prediction algorithm and children without using myopia prediction…
- Trial name
- NCT04005014
- Testing
- Myopia prediction algorithm
- Volunteers
- 1,680 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Autosomal Recessive Cerebellar Ataxia
Validation of the RADIAL Algorithm for Diagnosis of Autosomal Recessive Cerebellar Ataxia
RADIAL is an algorithm which has been developed following a review of the literature on 67 autosomal recessive cerebellar ataxias (ARCA) and personal clinical experience.
- Trial name
- RADIAL-VALID (NCT04261127)
- Testing
- Genetic diagnosis (PMDA panel), Use of RADIAL algorithm
- Where
- 8 sites in France
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- University Hospital, Strasbourg, France
Brain Injuries, Traumatic, Concussion, Mild
Validation of Brain Function Assessment Algorithm for mTBI/Concussion
This study is Part 2 of data collection from 13-25 years old subject population for validation of previously derived algorithms.
- Conditions
- Brain Injuries, Traumatic, Concussion, Mild, Concussion, Severe, Concussion, Intermediate
- Trial name
- CAS13-25V (NCT03671083)
- Testing
- BrainScope Ahead 300iP
- Where
- 5 sites in United States
- Volunteers
- 309 people, healthy volunteers welcome
- Sponsor
- BrainScope Company, Inc.
Atherosclerosis, Wounds and Injuries
Machine Learning for Handheld Vascular Studies
The use of handheld arterial 'stethoscopes' (continuous wave Doppler devices) are ubiquitous in clinical practice. However, most users have received no formal training in their use or the interpretation of the returned data.
- Trial name
- DopplerZAM (NCT02932176)
- Testing
- Non-invasive vascular testing, machine-learning algorithm
- Where
- United States
- Volunteers
- 155 people, healthy volunteers welcome
- Sponsor
- Duke University