Clinical trials: Computer-aided System
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
Colorectal Cancer, Colorectal Adenoma
Accuracy of Real Time Characterization in Artificial Intelligence-assisted Colonoscopy
The goal of this substudy is to investigate the accuracy of a computer-aided polyp characterization (CADx) system. The main question[s] it aims to answer are: How high is the specificity of the AI system when characterizing…
- Conditions
- Colorectal Cancer, Colorectal Adenoma, Colorectal Neoplasms
- Trial name
- NCT05754229
- Testing
- AI-assisted colonoscopy
- Where
- 4 sites in Denmark
- Volunteers
- 395 people, healthy volunteers welcome
- Sponsor
- Ismail Gögenur
Colonic Polyp, Colorectal Cancer
Computer Aided Diagnosis of Colorectal Polyps
The purpose of this study is to assess whether computer aided technology (CAD) can help in the diagnosis of polyps found the bowel compared with visual inspection alone and therefore whether it is beneficial in helping clinicians…
- Trial name
- EndoBrain (NCT04510545)
- Testing
- Endobrain, Computer Aided Diagnosis (CAD)
- Where
- United Kingdom
- Volunteers
- 89 people, healthy volunteers welcome
- Sponsor
- King's College Hospital NHS Trust
Small Bowel Disease, Gastrointestinal Diseases
Anonymous Data Sharing for Small Bowel
Crohn's disease is characterised by an abnormal immunological response within the bowel wall leading to abnormal wall thickening, stricturing (narrowing), fistulation (abnormal connections) to adjacent organs and strictures…
- Trial name
- NCT06868875
- Where
- United Kingdom
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- University College, London
Colorectal Carcinoma
Artificial Intelligence in Colonoscopy
N = 264 patients (50% female) aged 75 years and above undergoing colonoscopy were enrolled. Patients were randomly assigned into one of the three intervention groups: the primary intervention arm (CADe in combination with the…
- Trial name
- AIColonoscopy (NCT06621225)
- Testing
- Artificial Intelligence, Mucosal Exposure Device
- Where
- United States
- Volunteers
- 264 people, healthy volunteers welcome
- Sponsor
- Pankaj Patel
Colon Adenomas, Colon Polyps
Impact of Computer-aided Detection System on the Right Colon Adenoma Miss Rate
This is a prospective, multicenter randomized controlled trial designed to determine whether the use of computer-aided detection system could reduce the miss rates of adenomas, SSLs, and polyps in the proximal colon during tandem…
- Conditions
- Colon Adenomas, Colon Polyps, Sessile Serrated Lesion
- Trial name
- NCT07308743
- Testing
- Computer-aided detection-assisted colonoscopy, Conventional white-light colonoscopy
- Where
- China
- Volunteers
- 686 people, healthy volunteers welcome
- Sponsor
- Nanfang Hospital, Southern Medical University
Colonic Diseases
Computer Aided Detection, Tandem Colonoscopy Study
The purpose of this project is to examine the role of machine learning and computer aided diagnostics in automatic polyp detection and to determine in real-time how a computer-aided detection (CADe) algorithm will perform when…
- Trial name
- NCT04074577
- Testing
- Standard technique First, combination technique First
- Where
- United States
- Volunteers
- 32 people, healthy volunteers welcome
- Sponsor
- NYU Langone Health
Dental Caries
Investigation of the Effect of Deep Margin Elevation Technique on the Clinical Performance of Endocrown Restorations Produced by Computer-Aided Design and Computer-Aided Manufacturing (CAD/CAM) System
The aim of this clinical study is to investigate the impact of the deep margin elevation technique on the clinical performance of CAD/CAM endocrown restorations in deep Class II cavities.
- Trial name
- NCT06222918
- Testing
- Deep Margin Elevation (G-ænial Universal Injectable)
- Where
- Turkey (Türkiye)
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Hacettepe University
Focus of Study: Computer-Aided Design/Instrumentation
MGUIDE MORE Dental Implant Planning System- Clinical Accuracy Study
The aim of the present study is to assess the accuracy of MGUIDE MORE System (MGS), consisting of MGUIDE MORE software, MGUIDE MORE surgical kit and MGUIDE MORE template by evaluating the difference between planned and actual…
- Trial name
- NCT02217774
- Testing
- MGUIDE MORE
- Where
- Israel
- Volunteers
- 10 people, healthy volunteers welcome
- Sponsor
- Rambam Health Care Campus
Colorectal Polyp, Linked Color Imaging
Computer-assisted Diagnosis System Based on Linked Colour Imaging
Linked color imaging (LCI)，a new endoscopy modality, creates clear and bright images by using short wavelength narrow band laser light. LCI can make red area appear redder and white areas appear whiter.
- Conditions
- Colorectal Polyp, Linked Color Imaging, Computer-aided Diagnosis
- Trial name
- NCT03359343
- Where
- 2 sites in China
- Volunteers
- 250 people, healthy volunteers welcome
- Sponsor
- Affiliated Hospital to Academy of Military Medical Sciences
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.
Adenoma Colon, Polyp of Colon
Computer-aided Detection of Colorectal Polyps
In this observational pilot study, we assess the diagnostic performance of an artificial intelligence sytem for automated detection of colorectal polyps.
- Trial name
- NCT04359355
- Testing
- Artificial Intelligence System for Detection of colorectal polyps
- Where
- Germany
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- University of Erlangen-Nürnberg Medical School
Breast Neoplasms, Breast Diseases
Construction of a Benchmark for Breast Ultrasound AI Interpretation and Performance Evaluation of Multimodal AI Models
This single-center, retrospective, observational study aims to construct a standardized benchmark evaluation system for intelligent breast ultrasound image interpretation and to systematically assess the diagnostic performance of…
- Conditions
- Breast Neoplasms, Breast Diseases, Ultrasonography
- Trial name
- BUST-AI Bench (NCT07500428)
- Testing
- Multimodal AI Model Diagnostic Evaluation
- Where
- China
- Volunteers
- 1,380 people, healthy volunteers welcome
- Sponsor
- Peking Union Medical College Hospital
Motivational Interviewing, Computer-Aided Design
Assessment of the Effect of Periodontal Disease Prediction System on Oral Hygiene Motivation
The aim of this trial is to evaluate the effect of patient specific periodontal disease prediction (PDP) system, a part of motivational interview, (MI) on probing depth (PD), Rustogi modified Navy Plaque Index (RMNPI), and…
- Conditions
- Motivational Interviewing, Computer-Aided Design, Periodontal Diseases
- Trial name
- NCT06577246
- Testing
- scaling root planing, Three-Dimensional Animation (video1-2), Three-Dimensional Animation (video 3)
- Where
- Turkey (Türkiye)
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Bezmialem Vakif University
Molar Hypomineralization, Dental Restoration Failure of Marginal Integrity
CAD-CAM or Adhesive Approaches for MIH Treatment
Aim: This randomized controlled clinical study aimed to compare direct composite resin restorations and Computer Aided Design-Computer Aided Manufacturing (CAD-CAM) supported inlay or onlay restorations in young permanent molar…
- Trial name
- NCT06456619
- Testing
- Tooth restoration
- Where
- Turkey (Türkiye)
- Volunteers
- 22 people, healthy volunteers welcome
- Sponsor
- Baskent University
Trauma, Diabetes
Long Term Clinical Evaluation of SLS Transtibial Sockets
The overall long-term goal of this project is the development of a clinically practical system for rapid prosthetic limb provision that integrates computer-aided design with solid freeform fabrication techniques.
- Trial name
- NCT00167570
- Testing
- Prosthetic socket fabricated using selective laser sintering
- Where
- United States
- Volunteers
- 11 people, healthy volunteers welcome
- Sponsor
- The University of Texas Health Science Center at San Antonio
Colonic Polyps
Evaluation of Computer-assisted, Non-cathartic CT Colonography
The purpose of this study is to evaluate the performance of a non-cathartic, computer-assisted form of CT Colonography (Virtual Colonoscopy) for detection of pre-cancerous colon polyps in a group of asymptomatic screening…
- Trial name
- ncCTC (NCT01200303)
- Testing
- non-cathartic CTC
- Where
- 3 sites in United States
- Volunteers
- 605 people, healthy volunteers welcome
- Sponsor
- Massachusetts General Hospital
Gastrointestinal Neoplasms
Evaluation of Neoplasia With Artificial Intelligence in Gastrointestinal Endoscopy
This study aims to validate and evaluate AI algorithms for detection and characterization of early GI neoplasia.
- Trial name
- NEW-AGE (NCT04937647)
- Testing
- collection of endoscopic images and videos
- Where
- United Kingdom
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- Portsmouth Hospitals NHS Trust
Barrett Esophagus, Barrett Adenocarcinoma
Real-time Computer Aided Detection of Barrett's Neoplasia
In the real-time pilot study, the performance of a recently developed Computer Aided Detection (CADe) system will be investigated in 30 patients during real-time live endoscopic examination.
- Trial name
- NCT05628441
- Testing
- Computer Aided Detection system for Barrett's neoplasia
- Where
- Netherlands
- Volunteers
- 30 people, healthy volunteers welcome
- Sponsor
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
Colorectal Cancer (CRC) Screening
A Novel Multi-functional Artificial Intelligence System on Treatment Efficacy and Implementation in Colonoscopy
To overcome non-neoplastic polyp (NNP) resections, computer-aided diagnosis (CADx) systems have been developed. In a meta-analysis, the performance of CADx systems was superior to endoscopists.
- Trial name
- mAInstream (NCT07844252)
- Testing
- CADe/CADx
- Volunteers
- 2,818 people, healthy volunteers welcome
- Sponsor
- Chinese University of Hong Kong