Clinical trials: Computer-aided Diagnosis
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
Lung Cancer
Evaluation of Contextflow DETECT Lung CT Nodule Detection Software in Chest CT Scans
contextflow DETECT Lung CT is a Artificial Intelligence (AI)-based computed-aided detection (CADe) system, intended to support radiologists in the detection of lung nodules in chest computed tomography (CT) scans.
- Trial name
- NCT05481762
- Testing
- Aided read with contextflow DETECT Lung CT
- Where
- Austria
- Volunteers
- 337 people, healthy volunteers welcome
- Sponsor
- contextflow GmbH
Diagnosis
Mitigating Automation Bias in Physician-LLM Diagnostic Reasoning Using Behavioral Nudges
The goal of this randomized controlled trial is to evaluate whether behavioral nudges can reduce automation bias, the uncritical acceptance of automated output, in physicians using large language models (LLM) like ChatGPT-5.1 for…
- Trial name
- NCT07328815
- Testing
- Behavioral Nudge Intervention
- Where
- Pakistan
- Volunteers
- 72 people, healthy volunteers welcome
- Sponsor
- Lahore University of Management Sciences
Artificial Intelligence
The Accuracy of Detection of Artificial Intelligence Second Mesio-buccal Canal of Maxillary First Molars on CBCT Images
CAD systems are computer applications that assist in the detection and/or diagnosis of diseases by providing an unbiased "second opinion" to the image interpreter, aiming at improving accuracy and reducing time for analysis.
- Trial name
- NCT05340140
- Testing
- deep learning model
- Where
- Egypt
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Cairo University
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
Polyps, Colorectal Neoplasm
Colorectal Polyps Screening With Low-dose CT Colonoscopy
This preliminary clinical trial aims to evaluate the performance of the low-dose CT colonoscopy (CTC) with computer aided detection (CAD) on polyps detection compared with optical colonoscopy (OC), and explore the possible…
- Trial name
- NCT03064828
- Testing
- CT colonoscopy(normal dose), CT colonoscopy (low dose)
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Xijing Hospital
Colon Adenoma, Colorectal Cancer
Clinical Efficacy Evaluation of a Computer-aided Colonoscopy as Compared With the Standard Colonoscopy.
Colonoscopy is clinically used as the gold standard for detection of colorectal cancer (CRC) and removal of adenomatous polyps of the colon and rectum.
- Trial name
- NCT05240625
- Testing
- "aetherAI" Computer-aided Polyp Detection (CADe) Systems for Colonoscopy, Standard colonoscopy
- Where
- Taiwan
- Volunteers
- 1,500 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Pathologic Processes, Disease
Diagnostic Reasoning With Customized GPT-4 Model
This study will assess the impact of immediate access to a customized version of GPT-4, a large language model, on performance in case-based diagnostic reasoning tasks.
- Trial name
- NCT06911645
- Testing
- Immediate access to customized version of GPT-4, Access to customized version of GPT-4 following use of conventional resources
- Where
- United States
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- Stanford University
Corneal Ectasia, Corneal Disease
Computer-aided Diagnosis of Ocular Diseases Based on Corneal Biomechanics
The purpose of this study is the investigation of biomechanical properties of the cornea using computer-aided data analysis. Currently, it is known that keratoconus and glaucoma are ocular disease that are associated with…
- Conditions
- Corneal Ectasia, Corneal Disease, Corneal Astigmatism, Keratoconus
- Trial name
- EyeTwin (NCT04475900)
- Testing
- Corneal biomechanics (Corvis ST, Oculus, Wetzlar, Germany), Corneal topography and tomography (Pentacam, Oculus, Wetzlar, Germany), Optic nerve head measurement
- Where
- Germany
- Volunteers
- 372 people, healthy volunteers welcome
- Sponsor
- Technische Universität Dresden
Heart Murmurs, Mitral Valve Prolapse
Automatic Differentiation of Innocent and Pathologic Murmurs in Pediatrics
The purpose of this preliminary clinical study is to assess the quality of a computational algorithm that automatically classifies murmurs of phonocardiograms (PCGs) as either pathologic (AHA class I) or as no- or innocent (AHA…
- Conditions
- Heart Murmurs, Mitral Valve Prolapse, Systolic Murmurs
- Trial name
- NCT02512341
- Testing
- Computer Aided Auscultation (CAA)
- Where
- Canada
- Volunteers
- 106 people, healthy volunteers welcome
- Sponsor
- CSD Labs GmbH
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
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
Supernumerary Teeth
Computer-Assisted Removal of Supernumerary Teeth vs Freehand Surgery
While CBCT imaging enables the surgeon to precisely map the position of impacted supernumerary teeth relative to neighboring structures, traditional extraction methods for impacted supernumerary teeth can involve extensive bone…
- Trial name
- NCT07416851
- Testing
- extraction, extraction of impaction
- Where
- Egypt
- Volunteers
- 32 people, healthy volunteers welcome
- Sponsor
- Kafrelsheikh 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
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
Dental Plaque
Analyzing the Effect of Air Polishing on Tooth Surfaces With Two Imaging Methods
Micro-CT is a non-destructive imaging method with high resolution and allows to examine all tooth structures individually. Pre- and post-application images obtained by micro-CT can be superimposed and differences can be precisely…
- Trial name
- NCT05196490
- Testing
- Micro-CT, CAD/CAM
- Where
- Turkey (Türkiye)
- Volunteers
- 14 people, healthy volunteers welcome
- Sponsor
- Kocaeli University
Pregnancy, Sexually Transmitted Diseases
The S.A.F.E. Study : Computer-Aided Counseling to Prevent Teen Pregnancy/Sexually Transmitted Diseases (STDs)
This is a randomized clinical trial assessing the efficacy of two types of counseling (Computer-Assisted Motivational Intervention [CAMI] versus Didactic Educational Counseling [DEC]) to see which can better reduce female…
- Trial name
- NCT00151151
- Testing
- Computer-Assisted Motivational Intervention, Didactic Educational Counseling
- Where
- United States
- Volunteers
- 660 people, healthy volunteers welcome
- Sponsor
- University of Pittsburgh
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)
Colonic Neoplasms
Artificial Intelligence for Leaving in Situ Colorectal Polyps.
This two parallel-arms, randomized, multicenter trial is aimed at investigating safety and effectiveness of a Computer-Aided-Diagnosis (CADx)-assisted leave-in-situ strategy (Leave-In-Situ Arm) as opposed to a resect-all strategy…
- Trial name
- NCT05500248
- Testing
- Leave In Situ, Standard
- Where
- Italy
- Volunteers
- 919 people, healthy volunteers welcome
- Sponsor
- University of Roma La Sapienza
Breast Cancer
Case Collection Study for Collecting Images for the Development and Validation of Computer Aided Detection Software
The study objective is to assess the performance of the MammoDetector Pro to correctly mark biopsy-proven breast cancers imaged on the Siemens Mammomat Novation FFDM system compared to conventional film-screen mammography.
- Trial name
- NCT00756834
- Testing
- Screening
- Where
- United States
- Volunteers
- 135 people, healthy volunteers welcome
- Sponsor
- Siemens Medical Solutions