Clinical trials: Computer-aided Diagnosis
Polyp of Colon, Colorectal Polyp
Artificial Intelligence Development for Colorectal Polyp Diagnosis
Accurate classification of growths in the large bowel (polyps) identified during colonoscopy is imperative to inform the risk of colorectal cancer.
- Trial name
- NCT06447012
- Testing
- Colonoscopy
- Where
- United Kingdom
- Volunteers
- 4,000 people
- Sponsor
- King's College Hospital NHS Trust
Acute Respiratory Failure
Human Algorithm Interactions for Acute Respiratory Failure Diagnosis
Artificial intelligence (AI) shows promising in identifying abnormalities in clinical images. However, systematically biased AI models, where a model makes inaccurate predictions for entire subpopulations, can lead to errors and…
- Trial name
- NCT06098950
- Testing
- Artificial Intelligence model predictions without explanation, Artificial intelligence model predictions with explanation, AI model biased against heart failure
- Where
- United States
- Volunteers
- 457 people
- Sponsor
- University of Michigan
Premenopausal; Metrorrhagia
Accuracy of Endometrial Volume Measured by VOCAL Versus Office Hysteroscopy for Diagnosis of Endometrial Polyps
Endometrial volume will be assessed by 3DUS and VOCAL and compared to the results of office hysterscopy to measure the abilty of this technique to diagnose endometrial polyps in women complaining of abnormal uterine bleeding.
- Trial name
- VOCAL (NCT02300805)
- Where
- Egypt
- Volunteers
- 117 people
- Sponsor
- Ain Shams University
Dental Caries, Polymers
BioHPP and Lithium Disilicate Onlay Restorations: Clinical Evaluation
In this study, clinical data obtained from the in vivo evaluation of onlay restorations fabricated with CAD/CAM using modified PEEK (BioHPP Shade 2, Bredent group GmbH \& Co.
- Trial name
- NCT07142031
- Testing
- BioHPP, Lithium Disilicate
- Where
- Turkey (Türkiye)
- Volunteers
- 40 people
- Sponsor
- Ege University
Colorectal Cancer
Clinical Validation of PolyDeep: an Artificial Intelligence-based Computer-aided Polyp Detection (CADe) and Characterization (CADx) System. Polydeep Advance 2.
This study is a clinical validation of PolyDeep, a computer-aided polyp detection (CADe) and characterization (CADx) system. PolyDeep Advance 2 is a multicentric randomized clinical trial with a tandem colonoscopy design.
- Trial name
- NCT05512793
- Testing
- Standard technique First colonoscopy without PolyDeep, Combination technique First colonoscopy with PolyDeep
- Where
- 3 sites in Spain
- Volunteers
- 260 people
- Sponsor
- Fundacin Biomedica Galicia Sur
Melanoma (Skin), Non-melanoma Skin Cancer
Nevus Doctor Clinical Decision Support for GPs
The study investigates if a computer-based clinical decision support tool for skin cancer may improve the diagnostic accuracy of general practitioners (GPs).
- Conditions
- Melanoma (Skin), Non-melanoma Skin Cancer, Actinic Keratoses
- Trial name
- NCT03246412
- Testing
- Nevus doctor clinical decision support
- Where
- Norway
- Volunteers
- 35 people
- Sponsor
- University Hospital of North Norway
Colonic Polyp, Colonic Neoplasms
Real-World Validation of an Artificial Intelligence Characterization Support (CADx) System
Colorectal cancer (CRC) is a leading cause of cancer-related morbidity and mortality worldwide, with rates of CRC predicted to increase. Colonoscopy is currently the gold standard of screening for CRC.
- Conditions
- Colonic Polyp, Colonic Neoplasms, Colonic Dysplasia
- Trial name
- NCT05034185
- Testing
- Computer-aided diagnosis (CADx) support tool
- Where
- Singapore
- Volunteers
- 450 people
- Sponsor
- Changi General Hospital
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
Early Gastric Cancer
A Clinical Trial to Evaluate the Sensitivity and Specificity of "WAYMED Endo" Compared to the Endoscopists in Classifying Early Gastric Cancer (EGC) Based on the Depth of Invasion in Endoscopic Images
The purpose of this clinical trial is to prove that the prediction capability of 'WAYMED endo' is superior to that of the endoscopists in classifying EGC based on the depth of invasion categories in gastro-endoscopic images.
- Trial name
- NCT06317103
- Testing
- WADYMED endo, Control group (the endoscopists)
- Where
- South Korea
- Volunteers
- 653 people
- Sponsor
- WAYCEN Inc
Gastric Cancer
Evaluation of a Computer-aided Diagnosis System (CADx) in the Early Detection of Gastric Cancer in France. Cancer in France.
Upper gastrointestinal (GI) cancers are one of the most common cancers worldwide. Except for cardia cancers, the incidence of gastric cancer has decreased consistently since 1980, but remains at a high level.
- Trial name
- EGC-France (NCT05928819)
- Testing
- Evaluation of the proportion of gastric neoplastic lesions detected by a computer-aided diagnosis system (CADx) compared with experienced endoscopists.
- Where
- France
- Volunteers
- 120 people
- Sponsor
- Hospices Civils de Lyon
Cerebrovascular Diseases, Stroke
Computer-Aided Prevention System
Stroke is one of the most frequent and life-threatening diseases in Europe. About four stroke events occur per day in Luxembourg alone, and about 30% of these patients are affected by recurrent stroke within the following five…
- Conditions
- Cerebrovascular Diseases, Stroke, Cardiovascular Diseases, CVD Risk Factors
- Trial name
- CAPSYS (NCT02444715)
- Testing
- Standard care, CAPSYS
- Volunteers
- 94 people
- Sponsor
- Lübomira Spassova
Tumors, Breast
Digital Mammography: Computer-Aided Breast Cancer Diagnosis
The purpose of this study is to develop computer programs to assist radiologists in finding breast cancer on mammograms and to compare the computer's accuracy of detecting cancers on direct digital and film mammograms.
- Trial name
- NCT00732433
- Testing
- digital mammography
- Where
- United States
- Volunteers
- 433 people
- Sponsor
- University of Michigan
Hepatocellular Carcinoma (HCC), Microvascular Invasion (MVI)
Computer-Aided Diagnosis for Hepatocellular Carcinoma Microvascular Invasion
Hepatocellular carcinoma (HCC) is a common malignancy in China with a high mortality rate. Its early recurrence and long-term prognosis are closely associated with tumor aggressiveness.
- Trial name
- HCC-MVI-CAD (NCT07170345)
- Testing
- Computer-Aided Diagnosis System for Preoperative Prediction of MVI in HCC
- Where
- 19 sites in China
- Volunteers
- 400 people
- Sponsor
- Chinese Academy of Sciences
Prostate Cancer
Artificial Intelligence and Radiologists at Prostate Cancer Detection in MRI: The PI-CAI Challenge
The PI-CAI challenge aims to validate the diagnostic performance of artificial intelligence (AI) and radiologists at clinically significant prostate cancer (csPCa) detection/diagnosis in MRI, with respect to histopathology and…
- Trial name
- NCT05489341
- Testing
- Histopathology and Magnetic Resonance Imaging with Follow-Up, Histopathology and Magnetic Resonance Imaging
- Where
- Netherlands
- Volunteers
- 10,207 people, healthy volunteers welcome
- Sponsor
- Radboud University Medical Center
Edentulous Maxilla, Atrophic
Guided Pterygoid Implants: an Accuracy Study
The aim of this clinical study is to evaluate the accuracy of placing pterygoid implants using custom-made surgical guides in patients with atrophied posterior maxilla.
- Trial name
- G-PTERYGOID (NCT07840339)
- Testing
- 3D Printed Digital Surgical Guide
- Where
- Egypt
- Volunteers
- 9 people
- Sponsor
- Tanta University
Prostate Cancer
Creation of an Image Database for the Development of a Computer Aided Diagnostic (CAD) System in Patients With Prostate Cancer
Prostate cancer is currently detected by ultrasound-guided biopsy. Computer-aided diagnostic (CAD) systems based on multiparametric MRI are now capable of detecting most aggressive cancer foci non-invasively, but additional…
- Trial name
- Echo-CAD (NCT02618200)
- Testing
- 3D prostate ultrasound
- Where
- France
- Volunteers
- 2 people
- Sponsor
- Hospices Civils de Lyon
Foot Injury, Foot Deformity
Comparing Clinical Outcomes Using Two Insole Manufacture Techniques
The main purpose of this study is to find out if scanning the foot using a 3D scanner influences the effectiveness of custom made insoles, compared to the more traditional approach of taking a foam-box impression cast of the…
- Conditions
- Foot Injury, Foot Deformity, Foot Sprain, Feet, Flat
- Trial name
- NCT05444192
- Testing
- CAD/CAM insoles
- Where
- United Kingdom
- Volunteers
- 114 people
- Sponsor
- NHS Greater Glasgow and Clyde
Cancer
Development of Computer-aided Detection and Diagnosis From Imaging Techniques
This study will develop and evaluate new techniques for computer-aided detection and diagnosis (CAD) of medical problems using images from diagnostic tests such as computed tomography (CT), ultrasound, nuclear medicine and x-ray…
- Trial name
- NCT00057252
- Where
- United States
- Volunteers
- 139,692 people
- Sponsor
- National Institutes of Health Clinical Center (CC)
Colonoscopy, Colorectal Neoplasms
Efficacy of CAD in Screening Colonoscopy to Reduce the Risk of Advanced Adenoma at 3 Years.
The occurrence of interval cancers after colonoscopy raises the possibility of missed lesions. High- performance computer aided diagnosis (CAD) systems have been specially designed for the detection of colorectal lesions (CAD for…
- Conditions
- Colonoscopy, Colorectal Neoplasms, Intestinal Polyps
- Trial name
- IA-COLO 2 (NCT07299071)
- Testing
- Standard colonoscopy, Colonoscopy CADe
- Where
- 15 sites in France
- Volunteers
- 592 people
- Sponsor
- University Hospital, Bordeaux
Post Operative Ileus
Predictive Validity of Acoustic Gastrointestinal Surveillance (AGIS) in Post-Operative Feeding
This study will measure the accuracy of a disposable, non-invasive device for the continuous monitoring of abdominal sounds, called the AGIS sensor (Acoustic Gastro-Intestinal Surveillance) in predicting patients' intolerance to…
- Trial name
- AGIS (NCT02065583)
- Where
- United States
- Volunteers
- 100 people
- Sponsor
- VA Greater Los Angeles Healthcare System