Clinical trials: Automated Computer Analysis
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
Falls-Risk
Patient Perspectives of an Automated Falls-Risk Screening and Referral Tool in the Emergency Department (ED)
The purpose of the overall study to evaluate implementation-related outcomes of a falls-risk clinical decision support (CDS) system using patient electronic health records (EHR) data to automatically screen and identify older…
- Trial name
- NCT05846685
- Testing
- Patient Phone Interviews, Patient In Person Interviews
- Where
- 3 sites in United States
- Volunteers
- 10 people
- Sponsor
- University of Wisconsin, Madison
Periodontal Diseases
Deep Learning-Based Measurement of Keratinized Gingiva Width Using Smartphone-Acquired Clinical Images
This study aims to develop and validate an artificial intelligence-based system for automated measurement of keratinized gingiva width using smartphone-acquired intraoral clinical photographs.
- Trial name
- NCT07689552
- Testing
- Artificial Intelligence-Based Keratinized Gingiva Width Assessment
- Where
- Egypt
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
Automated Computer Analysis, Neonatal Motor Pattern
neonAtal motoR paTtErn autoMatIc analySis
This project consists in developing a computerized clinical assessment system for newborns that takes into account the four major criteria of the various clinical scales: facial mimicry, cry, posture and movement.
- Trial name
- AIMOTHERNeo (NCT06337136)
- Where
- France
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Sleep Apnea/Hypopnea Syndrome
Automatic Estimation of the Apnea-hypopnea Index Using Neural Networks to Detect Sleep Apnea
The sleep apnea hypopnea syndrome (SAHS) is a respiratory disorder characterized by frequent breathing cessations (apneas) or partial collapses (hypopneas) during sleep.
- Trial name
- NCT02143297
- Where
- Spain
- Volunteers
- 322 people
- Sponsor
- Sociedad Española de Neumología y Cirugía Torácica
Acute Hypoxemic Respiratory Failure, Post-cardiac Surgery
Automated Analysis of EIT Data for PEEP Setting
First: to develop a computerized algorithm for automated analysis of the electrical impedance tomography (EIT) data. The algorithm calculates the "optimal" positive end-expiratory pressure (PEEP) and inspiratory pressure defined…
- Trial name
- NCT03653806
- Testing
- computerized algorithm for automated analysis
- Where
- Netherlands
- Volunteers
- 40 people
- Sponsor
- Maastricht University Medical Center
Traumatic Brain Injury, Acute Brain Injuries
Automated Measurement of Optic Nerve Sheath Diameter
Optic Nerve Ultrasound (ONUS) is a promising non-invasive tool for the detection of raised Intracranial Pressure (ICP). Variability in the optimal Optic Nerve Sheath Diameter (ONSD) threshold corresponding to elevated ICP in…
- Conditions
- Traumatic Brain Injury, Acute Brain Injuries, Intracranial Hypertension
- Trial name
- NCT02786706
- Testing
- Optic nerve ultrasound
- Where
- United States
- Volunteers
- 75 people
- Sponsor
- University of Michigan