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
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)
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
Retinoblastoma
Deep Learning in Retinoblastoma Detection and Monitoring.
Retinoblastoma is the most common eye cancer of childhood. Eye-preserving therapies require routine monitoring of retinoblastoma regression and recurrence to guide corresponding treatment.
- Trial name
- NCT05308043
- Testing
- Deep learning algorism
- Where
- China
- Volunteers
- 200 people
- Sponsor
- Beijing Tongren Hospital
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
Colonic Adenoma, Colonic Polyp
Endocuff With or Without AI-assisted Colonoscopy
Colonoscopy is considered the gold standard for diagnosis of colonic polyps. However, it was reported that colonoscopy could still miss colonic polyps. Many attempts have been made to improve the detection rate of colonoscopy.
- Conditions
- Colonic Adenoma, Colonic Polyp, Colonic Cancer
- Trial name
- NCT05133544
- Testing
- Endocuff with AI, AI alone
- Where
- Hong Kong
- Volunteers
- 656 people
- Sponsor
- The University of Hong Kong
Liver Cancer, Adult
AI-Driven Quantitative Decision and Surgical Planning System for Liver Cancer
This study aims to develop and validate an integrated AI-powered system for liver cancer that includes intelligent tumor boundary detection, micro-metastasis prediction, staging, treatment decision-making, and surgical planning.
- Trial name
- NCT07042841
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Beijing Tsinghua Chang Gung Hospital
Colorectal Cancer
Clinical Validation of PolyDeep: an Artificial Intelligence-based Computer-aided Polyp Detection (CADe) and Characterization (CADx) System. Polydeep Advance 3
This study is a clinical validation of PolyDeep, a computer-aided polyp detection (CADe) and characterization (CADx) system. PolyDeep Advance 3 is a multicentric randomized clinical trial comparing high definition colonoscopy…
- Trial name
- NCT05513261
- Testing
- High definition colonoscopy (standard colonoscopy) in Adenoma Detection Rate, PolyDeep assisted high definition colonoscopy (CAD system) in Adenoma Detection Rate
- Where
- 3 sites in Spain
- Volunteers
- 857 people
- Sponsor
- Fundacin Biomedica Galicia Sur
Prostate Cancer
European Multicenter Validation of PCaVision: A Head-to-Head Diagnostic Accuracy Study Comparing Multiparametric Transrectal Ultrasound to MRI for Clinically Significant Prostate Cancer Detection
The goal of this clinical trial is to learn if a new ultrasound-based imaging method (PCaVision) can accurately detect clinically significant prostate cancer in adult men (18 years and older) who are either undergoing initial…
- Trial name
- PCaVISTA (NCT06935487)
- Testing
- transrectal ultrasound of prostate (TRUS) with AI software algorithm, MRI prostate
- Where
- 10 sites in France, Germany and 4 more
- Volunteers
- 806 people
- Sponsor
- Academisch Medisch Centrum - Universiteit van Amsterdam (AMC-UvA)
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
Colorectal Ulcers, Computer-aided System
Accuracy of Computer-aided (CADx) System in Real-time Characterization of Colorectal Ulcerative Diseases
The goal of this observational study is to test the diagnostic accuracy of the newly developed CADx system in predicting the histopathology of colorectal ulcers when compared to expert endoscopists.
- Trial name
- NCT06207825
- Testing
- Test images and videos
- Volunteers
- 495 people
- Sponsor
- Nanfang Hospital, Southern Medical University
Colon Polyp, Colon Neoplasm
A Clinical Study To Measure The Effect Of Use Of Artificial Intelligence (AI) Enabled Computer Aided Detection (CADe) Assistance Software In Detecting Colon Polyps During Standard Colonoscopy Procedures
EndoVigilant software device augments existing colonoscopy procedure video in real-time by highlighting colon polyps and mucosal abnormalities.
- Conditions
- Colon Polyp, Colon Neoplasm, Colon Adenoma
- Trial name
- ColonCADe (NCT04555135)
- Testing
- EndoVigilant Software
- Where
- 4 sites in United States
- Volunteers
- 769 people
- Sponsor
- EndoVigilant Inc
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
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
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
Colonic Polyp
Computer Aided Polyp Detection (C3PO) Trial
Computer aided detection (CADe) algorithms have been developed to overcome human errors and assist endoscopists in detecting more polyps during colonoscopy.
- Trial name
- NCT04777019
- Testing
- Not applicable as standard of care Colonoscopy
- Sponsor
- The University of Texas Health Science Center, Houston
Colorectal Polyp, Colorectal Cancer
Computer-aided Detection During Screening Colonoscopy
Nowadays, colonoscopy is considered the gold standard for the detection of lesions in the colorectal mucosa. However, around 25% of polyps may be missed during the conventional colonoscopy.
- Conditions
- Colorectal Polyp, Colorectal Cancer, Colorectal Adenoma
- Trial name
- NCT05734820
- Testing
- HD- colonoscopy, HD-colonoscopy assisted by AI
- Where
- Ecuador
- Volunteers
- 312 people
- Sponsor
- Instituto Ecuatoriano de Enfermedades Digestivas
Wilms' Tumor, Neuroblastoma
Computer Aided Diagnostic Tool on Computed Tomography Images for Diagnosis of Retroperitoneal Tumor in Children
The aim of this study was to evaluate the diagnostic efficacy of computer aided diagnostic tool for retroperitoneal tumor using machine learning and deep learning techniques on computed tomography images in children.
- Conditions
- Wilms' Tumor, Neuroblastoma, Teratoma, Lymphoma
- Trial name
- NCT05179850
- Testing
- Radiomic Algorithm
- Where
- China
- Volunteers
- 400 people
- Sponsor
- West China Hospital
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