Clinical trials: Computer Aided Diagnosis
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
Colonic Polyp, Colorectal Polyp
COLO-DETECT: Can an Artificial Intelligence Device Increase Detection of Polyps During Colonoscopy?
COLO-DETECT is a clinical trial to evaluate whether an Artificial Intelligence device ("GI Genius", manufactured by Medtronic) can identify more polyps (pre-cancerous growths of the bowel lining) during colonoscopy (large bowel…
- Conditions
- Colonic Polyp, Colorectal Polyp, Colorectal Adenoma, Colorectal Adenomatous Polyp
- Trial name
- NCT04723758
- Testing
- GI Genius-assisted diagnostic colonoscopy, Diagnostic Colonoscopy
- Where
- 10 sites in United Kingdom
- Volunteers
- 2,032 people
- Sponsor
- South Tyneside and Sunderland NHS Foundation Trust
Lung Cancer
Testing of Computer Aided Detection Software for Riverain Medical Group
This is a clinical trial using retrospective data of two different software devices developed by Riverain Medical Group: Softview and OnGuard 5.0. The two studies will be run concurrently.
- Trial name
- NCT00906789
- Testing
- Software
- Where
- United States
- Volunteers
- 15 people, healthy volunteers welcome
- Sponsor
- Georgetown University
Pancreatic Adenocarcinoma, Chronic Pancreatitis
Endoscopic Ultrasound Elastography in Pancreatic Masses
The aim of the study is to assess elastography during EUS examinations of focal pancreatic masses, and to consequently differentiate benign versus malignant pancreatic masses in a prospective multi-center design.
- Trial name
- EUS-EG (NCT00909103)
- Where
- 18 sites in Belgium, Denmark and 8 more
- Volunteers
- 285 people
- Sponsor
- University of Medicine and Pharmacy Craiova
Diagnosis
Automation Bias in Physician-LLM Diagnostic Reasoning
This study aims to systematically measure the extent and patterns of automation bias among physicians when utilizing ChatGPT-4o in clinical decision-making.
- Trial name
- NCT06963957
- Testing
- ChatGPT-4o Recommendations with Hallucinations
- Where
- Pakistan
- Volunteers
- 44 people, healthy volunteers welcome
- Sponsor
- Lahore University of Management Sciences
Colonoscopy, Histology
In Vivo Computer-aided Prediction of Polyp Histology on White Light Colonoscopy
Our group, prior to the present study, developed a handcrafted predictive model based on the extraction of surface patterns (textons) with a diagnostic accuracy of over 90%24.
- Conditions
- Colonoscopy, Histology, Computer-aided Diagnosis, Artificial Intelligence
- Trial name
- NCT03775811
- Testing
- AUTOMATED POLYP CLASSIFICATION
- Where
- Spain
- Volunteers
- 90 people
- Sponsor
- Hospital Clinic of Barcelona
Colorectal Cancer
Screening for Colorectal Cancer With FOBT, Virtual Colonoscopy and Optical Colonoscopy. A Randomized Clinical Trial in the Florence District
RATIONALE: Computed tomographic colonography (CTC) has proven to be accurate in detecting colorectal neoplasms and may be a primary test in colorectal cancer screening.
- Trial name
- SAVE (NCT01651624)
- Testing
- Invitation to screening
- Where
- Italy
- Volunteers
- 16,087 people, healthy volunteers welcome
- Sponsor
- Cancer Prevention and Research Institute, Italy
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
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
Colorectal Dysplasia, Colorectal Neoplasms
CAD EYE Detection of Remaining Lesions After EMR
In the last decade, many innovative systems have been developed to support and improve the diagnosis accuracy during endoscopic studies.
- Trial name
- NCT05542030
- Testing
- EMR with CAD-Eye™, EMR without CAD-Eye™, Follow-up colonoscopy with CAD-Eye™
- Where
- Ecuador
- Volunteers
- 60 people
- Sponsor
- Instituto Ecuatoriano de Enfermedades Digestivas
Hypoplastic Left Heart Syndrome (HLHS), Aortic Arch Hypoplasia
Seeking for Perfected Aortic Arch Reconstruction Using a Graphically Designed Patient-specific Surgical Patch
Vascular Reconstruction is one of the most challenging areas of surgery, the surgeon has to create a completely watertight reconstruction without any narrowing or deformity that will restore normal flow characteristics, even at…
- Trial name
- NCT06853054
- Testing
- Personalized patch template
- Where
- Canada
- Volunteers
- 30 people
- Sponsor
- The Hospital for Sick Children
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
Sleep Apnea, Obstructive, Craniofacial Abnormalities
3D-Printed CPAP Masks for Children With Obstructive Sleep Apnea
The purpose of this study is to determine whether patient-specific computer-aided design (CAD) and three-dimensional (3D) printing can be utilized to produce personalized, effective continuous positive airway pressure (CPAP)…
- Conditions
- Sleep Apnea, Obstructive, Craniofacial Abnormalities, Pediatric Disorder
- Trial name
- NCT02261857
- Testing
- Personalized continuous positive airway pressure (CPAP) mask
- Where
- United States
- Volunteers
- 8 people
- Sponsor
- Glenn Green
Heart Murmurs, Mitral Valve Prolapse
Automated Algorithm Based Analysis of Phonocardiograms of Newborns
The purpose of this double-blind pivotal clinical utility study is to determine on a large patient population whether heart murmurs can be reliably detected with high sensitivity and specificity using a locked, automated…
- Conditions
- Heart Murmurs, Mitral Valve Prolapse, Systolic Murmurs
- Trial name
- NCT02105480
- Testing
- Computer aided auscultation (CAA)
- Where
- Austria
- Volunteers
- 220 people, healthy volunteers welcome
- Sponsor
- CSD Labs GmbH
Ventilation, ARDS
Respiratory Knowledge Portal Computer and Phone Application to Improve Quality of Mechanical Ventilation by Reducing the Number of Ventilator Associated Events, Injury Created by the Ventilator and Unsafe Setting of Alarms.
Ventilator associated events (VAE) is a quality metric defined by 48 hours of stability followed by 48 hours of escalation of ventilator settings within the ICU.
- Conditions
- Ventilation, ARDS, Respiratory Failure, Mechanical Ventilation
- Trial name
- NCT06737432
- Testing
- RKP Monitoring Software
- Where
- United States
- Volunteers
- 875 people
- Sponsor
- The University of Texas Medical Branch, Galveston
Neck Mass, Thyroglossal Duct Cysts
Computer Aided Tool for Diagnosis of Neck Masses in Children
The aim of this study was to evaluate the diagnostic efficacy of computer aided diagnostic tool for neck masses using machine learning and deep learning techniques on clinical information and radiological images in children.
- Conditions
- Neck Mass, Thyroglossal Duct Cysts, Branchial Cleft Anomalies, Dermoid and Epidermoid Cysts
- Trial name
- NCT05187923
- Testing
- Artificial Intelligence Algorithm
- Where
- China
- Volunteers
- 1,500 people
- Sponsor
- West China Hospital
Esophagogastroduodenoscopy
AQCS for Detection of Early Cancer and Precancerous Lesions on Upper Gastrointestinal Tract
The purpose of our study was to assess the performance of esophagogastroduodenoscopy automatic quality-control system in real-time quality control of EGD.
- Trial name
- NCT04720924
- Testing
- Computer-aided Real-time Automatic Quality-control System
- Where
- 6 sites in China
- Volunteers
- 1,840 people
- Sponsor
- Shandong University
Periodontal Diseases
Periodontal Disease Prediction System
The purpose of this study was to develop a periodontal disease prediction software and a patient-based gingival recession simulator for clinical practice aiming at improving oral hygiene motivation of patients with periodontal…
- Trial name
- NCT05809570
- Testing
- Clinical examination
- Where
- Turkey (Türkiye)
- Volunteers
- 1,057 people, healthy volunteers welcome
- Sponsor
- Bezmialem Vakif University
Molar Incisor Hypomineralization
Computer-aided Design/Computer-aided Manufacturing for Mild to Moderate Molar Incisor Hypomineralization Treatment
Molar Incisor Hypomineralization (MIH) is a disease causing a structural defect in the enamel of permanent teeth. The treatment of these teeth consists of the removal of the affected part of the tooth and its reconstitution.
- Trial name
- MIhCFAO (NCT04922177)
- Testing
- Indirect ceramic restoration, Direct restoration
- Where
- France
- Volunteers
- 68 people
- Sponsor
- University Hospital, Toulouse
Lung Cancer
Clinical Significance of Computer Aided Image Analysis in Treatment Response Evaluation of Lung Cancer
The investigators will evaluate the utility of computer aided image analysis in lung cancer with the aim of predicting treatment response and prognosis.
- Trial name
- NCT03954847
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology