Clinical trials: Neural Network
Endometriosis
Deep Neural Network Stratification for Use Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)
The goal of this observational study is to determine the clinical validity of a deep neural network algorithm that utilizes protein biomarker detection of Endometriosis - "EndoCheck" - as an "aid in diagnosis" for endometriosis…
- Trial name
- NCT05245695
- Testing
- Observational study, no intervention
- Where
- 10 sites in United States
- Volunteers
- 1,200 people
- Sponsor
- Aspira Women's Health
Sleep Disordered Breathing (SDB), Sleep Apnea
Detection of Sleep Stages and Arousals Using Neural Network Classifiers
The objective of this clinical study is to evaluate the accuracy of the Smart Mask V1 System (herein 'Smart Mask') in measuring sleep stages-Stage N1/N2, Stage N3, Rapid Eye Movement (herein 'REM'), and WAKE-arousals, and the…
- Trial name
- SSAM (NCT07136272)
- Testing
- SSAM, Polysomnography, EnsoSleep
- Where
- 3 sites in United States
- Volunteers
- 72 people, healthy volunteers welcome
- Sponsor
- Pathway Medtech, LLC.
COVID-19
Classification of COVID-19 Infection in Posteroanterior Chest X-rays
The objective of this study is to assess three configurations of two convolutional deep neural network architectures for the classification of COVID-19 PCX images.
- Trial name
- NCT04358536
- Testing
- CovX
- Where
- United States
- Volunteers
- 230 people, healthy volunteers welcome
- Sponsor
- Dascena
Covid19
Evaluation of a COVID-19 Pneumonia CXR AI Detection Algorithm
This study investigates the diagnostic performance of an AI algorithm in the detection of COVID-19 pneumonia on chest radiographs.
- Trial name
- NCT04561024
- Testing
- AI model
- Where
- Hong Kong
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- Ensemble Group Holdings, LLC
Infertility, Female, Ovarian Follicular Cyst
Convolutional Neural Network in Ovarian Follicle Identification
A prospective cohort trial studying patients with infertility undergoing an ovarian stimulation with exogenous gonadotropins. Ovarian monitoring will be performed with a combination of transvaginal ultrasound and 2 dimensional…
- Trial name
- NCT04545918
- Testing
- Follicle Clarity
- Where
- United States
- Volunteers
- 80 people
- Sponsor
- Cycle Clarity
COVID19
Evaluation of the AudibleHealth Dx AI/ML-Based Dx SaMD Using FCV-SDS in the Diagnosis of COVID-19 Illness
The AudibleHealth Dx is a diagnostic software as a medical device (Dx SaMD) consisting of an ensemble of software subroutines that interacts with a proprietary database of Signal Data Signatures (SDS), using Artificial…
- Trial name
- NCT05175690
- Testing
- Diagnostic Software as Medical Device
- Where
- United States
- Volunteers
- 1,126 people, healthy volunteers welcome
- Sponsor
- AudibleHealth AI, Inc.
Ventricular Dysfunction, Left, Ventricular Function, Left
Federated Learning for Point-of-Care Cardiac Ultrasound
This prospective, multicenter study will evaluate a federated machine-learning system designed to analyze focused cardiac point-of-care ultrasound examinations.
- Conditions
- Ventricular Dysfunction, Left, Ventricular Function, Left, Echocardiography, Ultrasonography
- Trial name
- FL-POCUS (NCT07800962)
- Testing
- Focused Cardiac Point-of-Care Ultrasonography, FL-POCUS Federated Machine-Learning Analysis System
- Where
- United States
- Volunteers
- 3,000 people
- Sponsor
- Truway Health, Inc.
Arrhythmias, Cardiac
Automated Diagnostic Performance of Smartwatch ECG for Arrhythmia Detection Using the PulseAI Neural Network.
The study is to evaluate the performance of the PulseAI neural network technology at interpreting ECG data recorded using a single-lead Smartwatch (Apple Watch).
- Trial name
- NCT05668377
- Testing
- PulseAI ECG Platform
- Where
- Ireland
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- PulseAI Ltd
High-Risk Multidisciplinary Care, Clinical Decision Support
ANCHOR Validation Trial in High-Risk Multidisciplinary Care
This pre-registered, pragmatic, three-arm (1:1:1) patient-level randomized controlled trial with mixed-effects analysis at the encounter level tests two questions in real high-risk multidisciplinary clinical encounters at the…
- Conditions
- High-Risk Multidisciplinary Care, Clinical Decision Support, Artificial Intelligence-Assisted Care, Telemedicine
- Trial name
- NCT07597499
- Testing
- Gemini 3.1 Pro with Safety Prompt, ANCHOR Clinical AI Verification Layer (with Gemini 3.1 Pro)
- Where
- United States
- Volunteers
- 240 people
- Sponsor
- Waymark