Clinical trials: Computer Aided Diagnosis
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
Diagnosis
Physician Reasoning on Diagnostic Cases With Large Language Models
This study will evaluate the effect of providing access to GPT-4, a large language model, compared to traditional diagnostic decision support tools on performance on case-based diagnostic reasoning tasks.
- Trial name
- NCT06157944
- Testing
- GPT-4
- Where
- United States
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Stanford University
Genetic Disorders
Face Anthropometric Pattern Recognition Technology for Computer Aided Diagnosis of Human Genetic Disorders.
The hypothesis to be tested: After the construction of a database of anthropometric measurements, the system would extract important features of a given facial surface and be able to match it with existing morphometric figures.
- Trial name
- DW-6/2007 (NCT00705055)
- Where
- 2 sites in Israel
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Carmel Medical Center
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
Breast Cancer, Breast Neoplasms
The Diagnostic Efficacy of Computer-Aided Detection (CAD) in Full-Field Digital Mammography (FFDM)- A Prospective Study
The purpose of this study is to evalute whether CAD (computer-aided detection) in FFDM (full-field digital mammography) can facilitate the detection rate of breast cancer on mammography compared with FFDM without CAD.
- Trial name
- NCT00173303
- Where
- Taiwan
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
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
Breast Cancer
Computer-Aided Breast Cancer Detection in Women Undergoing Screening Mammography
RATIONALE: A computer-aided detection program may help doctors find breast cancer sooner, when it may be easier to treat, in women undergoing screening mammography.
- Trial name
- NCT00450359
- Testing
- breast imaging study, comparison of screening methods, radiomammography
- Where
- 4 sites in United Kingdom
- Volunteers
- 30,000 people, healthy volunteers welcome
- Sponsor
- Aberdeen Royal Infirmary
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
Edentulous Mouth
Retention of Computer Aided Design and Computer Aided Manufacturing Titanium Versus Co/Cr Single Dentures.
Steps in short: Undergoing the conventional steps of maxillary single denture construction till the step of framework construction that will be designed and constructed using CAD/CAM after optical scanning of the master cast ( 2…
- Trial name
- NCT03675594
- Testing
- CAD/CAM titanium denture base, CAD/CAM cobalt/chromium denture bases
- Where
- Egypt
- Volunteers
- 12 people, healthy volunteers welcome
- Sponsor
- Cairo 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
TB - Tuberculosis, PTLD
Intergrated Service Delivery for Lung Health Conditions
The Advancing Lung Health in Zambia project aims to improve access to integrated screening, diagnosis, and management of tuberculosis (TB) and other priority respiratory diseases at community and primary healthcare levels.
- Conditions
- TB - Tuberculosis, PTLD, COPD (Chronic Obstructive Pulmonary Disease), Computer Aided Diagnosis
- Trial name
- TB REACH W11 (NCT07816523)
- Testing
- Intergrated lung health screening, AI-Enabled Cough Sound Screening for Tuberculosis, Post-TB Lung Disease evaluation
- Where
- Zambia
- Volunteers
- 20,300 people, healthy volunteers welcome
- Sponsor
- Centre for Infectious Disease Research in Zambia
Decision Making, Computer Aided Diagnosis
Project 3 Example: Human-AI Collaboration Tester (HAICT) Exp. 7
The study is one part of a "bundle" of experiments that constitute Project Three of a National Eye Institute grant. Project Three includes a series of experiments that investigate how changing the input from a simulated AI can…
- Trial name
- NCT05272189
- Testing
- Simulated Second Reader AI, Target Prevalence
- Where
- United States
- Volunteers
- 12 people, healthy volunteers welcome
- Sponsor
- Brigham and Women's Hospital
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
Lung Cancer
Chest Imaging, Breath, and Biomarkers in a Screening Trial
The investigators would like to see if lung cancer screening with chest x-rays,computer aided detection (CAD)and a lose dose CT scan can detect lung cancer in early stages when it is more responsive to treatment.
- Trial name
- NCT01663155
- Testing
- chest x-ray with or without CAD, lose dose CT scan
- Where
- United States
- Volunteers
- 1,424 people, healthy volunteers welcome
- Sponsor
- The Cleveland Clinic
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.
Osteoarthritis of the Knee
Computer Aided Gap Balancing Improves Sagittal Stability and Outcomes for Cruciate-Retaining Total Knee Arthroplasty
Computer Aided Surgery in total knee arthroplasty improves knee stability and functional outcomes more than conventional total knee arthroplasty.
- Trial name
- NCT00865865
- Testing
- Computer aided total knee arthroplasty, Conventional total knee arthroplasty
- Volunteers
- 140 people, healthy volunteers welcome
- Sponsor
- Singapore General Hospital
Diagnosis, Tuberculosis
Active Close Contact Investigation of Tuberculosis Through Computer-aided Detection and Stool Xpert MTB/RIF Among People Living in Ethiopia
Tuberculosis is the 13th cause of death from all causes, infecting roughly the 25% of the world population, and Ethiopia is listed among the 30 high-burden countries both for TB and for HIV/TB.
- Conditions
- Diagnosis, Tuberculosis, geneXpert
- Trial name
- CADOOL (NCT05818059)
- Testing
- Diagnosis of Tuberculosis with computer-aided detection (CAD) software
- Where
- Ethiopia
- Volunteers
- 231 people, healthy volunteers welcome
- Sponsor
- Doctors with Africa - CUAMM