Clinical trials: Computer Aided Diagnosis
COVID-19
COVID-19 Volumetric Quantification on Computer Tomography Using Computer Aided Diagnostics
The aim of the study is to asses the influence of computer aided diagnostic to the process of lung affection quantification on computer tomography in COVID-19 confirmed patients.
- Trial name
- NCT05282056
- Testing
- CAD analysis
- Where
- Romania
- Volunteers
- 200 people
- Sponsor
- Bogdan Bercean
Carotid Atherosclerosis, Peripheral Arterial Disease
Non-invasive Computer-Aided Phenotyping of Vasculopathy
The investigators use MRI and/or CT to evaluate the extent, as well as, the structure, composition, and functional aspects of atherosclerotic plaques in human carotid and femoral arteries in patients scheduled to undergo an…
- Trial name
- Q-CAMP (NCT02143102)
- Where
- 2 sites in United States
- Volunteers
- 125 people
- Sponsor
- Elucid Bioimaging Inc.
Breast Cancer
Case Collection Study for Collecting Images for the Development and Validation of Computer Aided Detection Software
The study objective is to assess the performance of the MammoDetector Pro to correctly mark biopsy-proven breast cancers imaged on the Siemens Mammomat Novation FFDM system compared to conventional film-screen mammography.
- Trial name
- NCT00756834
- Testing
- Screening
- Where
- United States
- Volunteers
- 135 people, healthy volunteers welcome
- Sponsor
- Siemens Medical Solutions
Glioma, Primary Brain Tumor
MRI-based Computer Aided Diagnosis Software (V1) for Glioma
The goal of this multi-center clinical trial is to evaluate the effectiveness of MRI-based computer-aided diagnosis software (V1) for glioma segmentation, gene prediction, and tumor grading.
- Trial name
- NCT05739500
- Where
- China
- Volunteers
- 250 people
- Sponsor
- Mingge LLC
Covid19
Detection of SARS-CoV-2 in Nasopharyngeal Swabs by Using Multi-Spectral Screening System
The aim of this research is to use the Multi-Spectral method to measure the biomolecular fingerprint of the virus directly instead of the virus's RNA (RT-PCR) or the body's immune response (antibody) measurement methods to…
- Trial name
- NCT04860895
- Testing
- AP-23
- Where
- Turkey (Türkiye)
- Volunteers
- 4,400 people, healthy volunteers welcome
- Sponsor
- Fable Biyoteknoloji San ve Tic A.S
Colorectal Cancer
Safety and Efficacy of the Olympus CADe System in Real-time Colonoscopy
This is a prospective, multicenter, randomized Trial to assess the safety and efficacy of the Olympus Endoscopy Computer-Aided Detection (CADe) system, OIP-1, in the detection of colorectal neoplasia's during real-time…
- Trial name
- EuroCADe (NCT05943288)
- Testing
- OIP-1
- Where
- 6 sites in Belgium, Germany and 2 more
- Volunteers
- 850 people
- Sponsor
- Olympus Europe SE & Co. KG
Colo-rectal Cancer, Polyp of Colon
Computer Aided Detection of Polyps During Colonoscopy Procedures
The focus of the study is to evaluate impact on Adenomas Per Colonoscopy (APC) with a Computer Aided Detection (CAD) software assisting the gastroenterologist during a colonoscopy procedure.
- Conditions
- Colo-rectal Cancer, Polyp of Colon, Adenomatous Polyps
- Trial name
- NCT04195646
- Testing
- EndoVigilant CAD Software
- Where
- 2 sites in United States
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- EndoVigilant Inc
Colorectal Neoplasms, Colonic Polyps
Clinical Validity Verification on Diagnostic Assistance for Presence and Severity of Colorectal Cancer and Polyps Using Artificial Intelligence-based Medical Device Software Endoscopic Imaging Assistance
This completed retrospective study evaluated the clinical performance of ENAD-CADx-01, an artificial intelligence-based medical device software intended to assist healthcare professionals in characterizing colorectal lesions in…
- Conditions
- Colorectal Neoplasms, Colonic Polyps, Hyperplastic Polyps, Sessile Serrated Lesions
- Trial name
- NCT07744607
- Where
- South Korea
- Volunteers
- 1,114 people
- Sponsor
- Ainex Corporation
Diabetic Retinopathy, Diabetic Macular Edema
OphtAI Diagnostic Performance Validation for Automated Screening of Eye Diseases
Evolucare OphtAI is a medical device offering automated, artificial intelligence powered, screening capabilities for Diabetic Retinopathy, Diabetic Macular Edema, Glaucoma, ARM and AMD, whose performances will by tested through…
- Conditions
- Diabetic Retinopathy, Diabetic Macular Edema, Age-Related Macular Degeneration, Age-related Maculopathy
- Trial name
- OPHTAI-EVAL (NCT05752045)
- Testing
- Eye Fundus Double Capture for Eye Diseases Screening with OphtAI Medical Device
- Where
- 12 sites in France
- Volunteers
- 1,389 people
- Sponsor
- Evolucare Technologies
Diabetic Retinopathy, Retinal Vein Occlusion
Computer Aided Diagnosis of Multiple Eye Fundus Diseases From Color Fundus Photograph
Blindness can be caused by many ocular diseases, such as diabetic retinopathy, retinal vein occlusion, age-related macular degeneration, pathologic myopia and glaucoma.
- Conditions
- Diabetic Retinopathy, Retinal Vein Occlusion, Retinal Artery Occlusion, Central Serous Chorioretinopathy
- Trial name
- NCT04723160
- Testing
- Software assisted imaging diagnosis
- Where
- 5 sites in China
- Volunteers
- 748 people, healthy volunteers welcome
- Sponsor
- Visionary Intelligence Ltd.
Screening Colonoscopy, Surveillance Colonoscopy
Study to Evaluate the Diagnostic Performance of of MAGENTIQ-COLO During Colonoscopy.
This is an international, multicenter, study to evaluate the diagnostic performance of the CADx polyp sizing modality of the MAGENTIQ-COLO.
- Trial name
- NCT06568523
- Testing
- MAGENTIQ-COLO.
- Where
- 5 sites in United States, Israel and 1 more
- Volunteers
- 330 people, healthy volunteers welcome
- Sponsor
- Magentiq Eye LTD
Lung Cancer
Evaluation of Contextflow DETECT Lung CT Nodule Detection Software in Chest CT Scans
contextflow DETECT Lung CT is a Artificial Intelligence (AI)-based computed-aided detection (CADe) system, intended to support radiologists in the detection of lung nodules in chest computed tomography (CT) scans.
- Trial name
- NCT05481762
- Testing
- Aided read with contextflow DETECT Lung CT
- Where
- Austria
- Volunteers
- 337 people, healthy volunteers welcome
- Sponsor
- contextflow GmbH
Alzheimer Disease, Mild Cognitive Impairment
Evaluating the Efficacy of Artificial Intelligence-based Computer Aided Diagnosis Software That Assists in Determining Whether or Not to Conduct Amyloid PET for the Diagnosis of Alzheimer's Disease by Predicting Amyloid PET Positivity in Mild Cognitive Impairment Patients
Purpose of clinical trial; This clinical trial is designed to evaluate the effectiveness of 'NeuroAI' prediction accuracy compared to the amyloid PET test results by retrospectively collecting medical data of patients with mild…
- Trial name
- NCT05383053
- Testing
- NeuroAI
- Where
- South Korea
- Volunteers
- 227 people
- Sponsor
- Neurozen Inc.
Colorectal Cancer, Adenoma Colon
Real-time Computer-Aided Detection of Colonic Adenomas With NEC WISE VISION® Endoscopy
This is a prospective, multicenter, randomized study to evaluate the clinical performance of a novel CADe device, WISE VISION® Endoscopy System, in patients undergoing high-definition white light (HDWL) colonoscopy for screening…
- Conditions
- Colorectal Cancer, Adenoma Colon, Polyp of Colon
- Trial name
- COLOWISE (NCT05611151)
- Testing
- Computer Aided Detection (CADe)
- Where
- 5 sites in United States, Germany and 2 more
- Volunteers
- 830 people
- Sponsor
- NEC Corporation
Colorectal Adenoma, Sessile Serrated Lesion
Evaluation of 'WAYMED Endo CL CS' for Automated Detection and Diagnosis of Colorectal Adenoma and Non-Adenoma Lesions
The purpose of this clinical trial is to evaluate the effectiveness of the computer-aided diagnosis (CADx) software, 'WAYMED endo CL CS', which assists medical specialists by automatically analyzing colorectal endoscopic images…
- Conditions
- Colorectal Adenoma, Sessile Serrated Lesion, Hyperplastic Polyp, Carcinoma
- Trial name
- NCT07470827
- Testing
- WAYMED endo CL CS, Reference standard review
- Where
- South Korea
- Volunteers
- 1,178 people
- Sponsor
- WAYCEN Inc
Breast Cancer, Benign Breast Condition
ATUSA Ultrasound Diagnostic Imaging for Breast Lesions Evaluation (AUDIBLE) - iSono Health
AUDIBLE is a multi-site, clinical study conducted in the United States aimed at gathering data on 3D Automated Breast Ultrasound imaging using the iSono Health ATUSA system.
- Conditions
- Breast Cancer, Benign Breast Condition, Breast Fibroadenoma, Breast Neoplasms
- Trial name
- AUDIBLE (NCT07505797)
- Testing
- ATUSA 3D Automated Breast Ultrasound System
- Where
- 2 sites in United States
- Volunteers
- 800 people
- Sponsor
- iSono Health, Inc.
Breast Cancer
Xpress Digital Mammography System Images for Computer Aided Detection Development
The primary objective of this study is to acquire digital mammography images produced by the Xpress Digital Mammography System in order to develop Computer Aided Detection software and systems.
- Trial name
- NCT01061138
- Where
- 5 sites in United States
- Volunteers
- 597 people, healthy volunteers welcome
- Sponsor
- Konica Minolta Medical Imaging, USA
Glioma, Malignant, Computer-Assisted
Radiomics-Based Visualization and Quantitative Validation of IDH1 Heterogeneity in Gliomas
The goal of this clinical trail is to non-invasively visualise and quantitatively validate an radiomics model of genetic heterogeneity in adult patients with diffuse glioma to help clinicians better guide surgical resection and…
- Trial name
- NCT05969691
- Testing
- Validation of IDH1 mutations from the radiomics model
- Where
- China
- Volunteers
- 18 people
- Sponsor
- Mingge LLC
Pneumothorax, Pulmonary Nodule, Solitary
Multi-Reader Retrospective Study Examining Carebot AI CXR 2.0.21-v2.01 Implementation in Everyday Radiology Clinical Practice
The primary objective is to evaluate the performance parameters of the proposed DLAD (Carebot AI CXR) in comparison to individual radiologists.
- Conditions
- Pneumothorax, Pulmonary Nodule, Solitary, Atelectasis, Subcutaneous Emphysema
- Trial name
- NCT05963945
- Testing
- Carebot AI CXR
- Where
- Czechia
- Volunteers
- 956 people
- Sponsor
- Carebot s.r.o.
Colorectal Polyp
Computer Aided Detection of Polyps in Colonoscopy
The aim of this study is to evaluate the clinical benefit and safety of using a computer aided detection device, Skout, for real-time polyp detection in colonoscopy procedures with the indication of screening or surveillance.
- Trial name
- NCT04754347
- Testing
- Computer Aided Detection device
- Where
- 5 sites in United States
- Volunteers
- 1,472 people
- Sponsor
- Iterative Scopes, Inc