Clinical trials: Computer Aided Diagnosis
Osteoarthritis
Visionaire: A Prospective Study
The purpose of the current study is to validate the technology of MRI-based alignment for total knee replacements and to collect data on potential advantages of the computer aided system. 1.
- Trial name
- NCT01937572
- Testing
- Visionaire system (Knee MRI), No Knee MRI
- Where
- United States
- Volunteers
- 149 people
- Sponsor
- The Hawkins Foundation
Glioma, Glioma (Diagnosis)
AI-driven Processing and Analysis of Glioma Imaging Data
GLIOMAID is a scientific research project focused on improving how brain tumors, specifically gliomas, are diagnosed and managed. It uses Artificial Intelligence (AI) to analyze MRI brain scans and patient data.
- Trial name
- GLIOMAID (NCT07703761)
- Testing
- AI-driven analysis of brain MRI data for early, non-invasive detection, segmentation, and histological characterization of gliomas using retrospective clinical and imaging records.
- Where
- Italy
- Volunteers
- 700 people
- Sponsor
- Università degli Studi di Trento
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
Breast Cancer, Abnormal Findings on Radiological Examination of Breast
Breast Lesion Analysis for Tomosynthesis Mammography
The purpose of this study is to develop a computer-aided diagnosis system to find breast lesions, including masses and microcalcifications, which hopefully will improve breast cancer detection and classification.
- Trial name
- NCT00723541
- Testing
- Computer aided analysis of breast lesions
- Where
- United States
- Volunteers
- 872 people
- Sponsor
- University of Michigan
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
Maxillofacial Injury
Computer Modeling With Reconstruction of Maxillofacial Skeleton
Investigator initial study to evaluate the use of preoperative computer modeling and the intraoperative navigation to guide reconstruction of the maxillofacial skeleton.
- Trial name
- NCT00583856
- Where
- United States
- Volunteers
- 3 people
- Sponsor
- University of California, Davis
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
Psychosis
Computer-Aided Learning for Managing Stress
The purpose of this study is to learn whether a new family therapy using computer games with biofeedback might help people at clinical high risk for psychosis and their family members learn to experience less stress and have…
- Trial name
- CALMS (NCT02531243)
- Testing
- CALMS
- Where
- United States
- Volunteers
- 25 people
- Sponsor
- Beth Israel Deaconess Medical Center
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
Colorectal Ulcers, Computer-aided System
A Computer-aided (CADx）System in Real-time Characterization of Colorectal Ulcerative Diseases
The goal of this observational study is to construct and validate a Computer-aided (CADx）System in Real-time Characterization of Colorectal Ulcrerative Diseases.
- Trial name
- NCT06208982
- Testing
- Colonoscopy images and videos
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Nanfang Hospital, Southern Medical University
Knee Osteoarthritis
Validation of a New Technique for the Evaluation of the Patello-femoral Joint Kinematics
The objective of this study is to validate a new technique for intraoperative quantification of the patello-femoral joint kinematics in patients undergoing total knee replacement, and for postoperative quantification of implanted…
- Trial name
- CINE-FEMORO (NCT03448198)
- Testing
- Total knee replacement
- Where
- Italy
- Volunteers
- 20 people
- Sponsor
- Istituto Ortopedico Rizzoli
Solitary Skin Lesions, Skin Neoplasms
CNN-Based AI Versus Physicians for Solitary Skin Lesion Diagnosis
The goal of this observational study is to evaluate the diagnostic accuracy of a CNN-based artificial intelligence model in patients with solitary skin lesions.
- Conditions
- Solitary Skin Lesions, Skin Neoplasms, Skin Neoplasm Malignant
- Trial name
- NCT07415291
- Where
- Turkey (Türkiye)
- Volunteers
- 17,625 people
- Sponsor
- Istanbul Training and Research 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
Tuberculosis Infection, HIV Infections
Computer Aided Screening for Tuberculosis in Low Resource Environments
People living with HIV (PLHIV) who require admission to hospital in WHO Africa region have poor outcomes. TB is very common in this group, but can be difficult to diagnose.
- Trial name
- CASTLE (NCT04545164)
- Testing
- CAD4TB, FujiLAM
- Where
- Malawi
- Volunteers
- 498 people
- Sponsor
- London School of Hygiene and Tropical Medicine
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
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
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
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
Periapical Lesions
The Accuracy of Computer Aided Detection of Periapical Radiolucencies on Cone -Beam Computed Tomography Images Using Artificial Intelligence
A diagnostic accuracy study to assess the accuracy of a newly developed deep learning model in the automatic detection of periapical radiolucent lesions of upper and lower jaws by comparing it with experienced radiologists'…
- Trial name
- NCT05538104
- Volunteers
- 50 people
- Sponsor
- Cairo University
Lung Nodules, Lung Cancers
Assessing AI for Detecting Lung Nodules and Cancer: Pre- and Post-Deployment Study
The study evaluates the impact of qXR-LN compared to standard radiologist-only interpretations before and after AI deployment. The goal is to compare how well lung nodules and cancers are detected in two time periods: before and…
- Conditions
- Lung Nodules, Lung Cancers, Early-Stage Lung Cancer, Artificial Intelligence in Radiology
- Trial name
- AI-Lung (NCT06746324)
- Sponsor
- University of Florida