Clinical trials: AI (Artificial Intelligence)
Bladder Cancer, Non-muscle Invasive Bladder Cancer
Exploration of Novel AI-enabled Blue Light Enhanced Cystoscopy
Blue light cystoscopy (BLC) is a diagnostic procedure in bladder cancer where the inside of the bladder is observed with a camera to detect bladder lesions.
- Trial name
- ENAiBLE (NCT07144319)
- Where
- 12 sites in United States, Belgium and 3 more
- Volunteers
- 500 people
- Sponsor
- Photocure
Axial Spondyloarthritis (AxSpA)
Retrospective Case-Control Study for Developing an Artificial Intelligence (AI) Tool for Lesion Detection Using Magnetic Resonance Imaging (MRI) and Clinical Variables for Early Diagnosis of Axial Spondyloarthritis (axSpA)
The goal of this observational study is to develop and validate an Artificial Intelligence (AI) tool that allows the lesion detection and early diagnosis of axial spondyloarthritis (axSpA) based on Magnetic Resonance Imaging…
- Trial name
- InnovaDetect (NCT06591481)
- Where
- 7 sites in Jordan, Saudi Arabia and 2 more
- Volunteers
- 925 people, healthy volunteers welcome
- Sponsor
- Ángel Alberich Bayarri
Metabolic Dysfunction-associated Steatotic Liver Disease
Digital Pathology and AI for Liver Outcomes in MASLD
The aim of this multi-center, retrospective epidemiologic study is to confirm the prognostic performance of the Digital Pathology (DP) FibroNest Phenotypic Fibrosis Composite Score (Ph-FCS), derived from standard digital…
- Trial name
- DPAILO-1 (NCT06344364)
- Testing
- Digital Pathology FibroNest Phenotypic Fibrosis Composite Score (Ph-FCS)
- Where
- 3 sites in Hong Kong, Spain
- Volunteers
- 1,241 people
- Sponsor
- PharmaNest, Inc
Ear Infection
Application of the Belle.AI Comparative Image Reference System for Describing Chronic Ear Infections in Pediatric Patients From Low-Resource Communities
The purpose of this research is to examine the clinical effectiveness of an investigational AI-powered smartphone app that describes the physical characteristics of an otoscopy image. It is not intended to make any diagnosis.
- Trial name
- Otoscopy AI (NCT07025473)
- Testing
- Smartphone-enabled otoscopy
- Where
- United States
- Volunteers
- 20 people
- Sponsor
- BelleTorus Corporation
Clinical Documentation, Artificial Intelligence
Ambient Audio-Visual Capture for Clinical Documentation and Assessment
AI-powered tools that automatically document clinical conversations are being adopted rapidly in outpatient settings but have not been evaluated in hospital wards.
- Conditions
- Clinical Documentation, Artificial Intelligence, Surgical Education, Medical Education
- Trial name
- BLACKFRAME-AV- (NCT07649772)
- Testing
- BlackFrame ambient audio-visual capture platform
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- BlackFrame.ai
Hematologic Malignancy, Leukemia
Better Leukemia Diagnostics Through AI (BELUGA)
To the best of our knowledge, BELUGA will be the first prospective trial investigating the usefulness of deep learning-based hematologic diagnostic algorithms.
- Conditions
- Hematologic Malignancy, Leukemia, Minimal Residual Disease, Lymphoma
- Trial name
- BELUGA (NCT04466059)
- Testing
- Automated AI-Guided Diagnosis of Hematological Malignancies
- Where
- Germany
- Volunteers
- 25,000 people, healthy volunteers welcome
- Sponsor
- Munich Leukemia Laboratory
Lung Cancer Screening
Clinical Evaluation of the Lung Cancer AI-based Decision Support Tool in Low-Dose Lung CT
The goal of this observational study is to clinically validate the accuracy of an AI-based decision support tool-the Lung Cancer Detection System (LCDS)-for detecting lung nodules in asymptomatic adults aged 50-79 with a history…
- Trial name
- GenMedAILCSD1 (NCT07052773)
- Testing
- Lung Cancer Detection System (LCDS)
- Where
- Israel
- Volunteers
- 100 people
- Sponsor
- Genesis Medical AI
Hypogonadism, Male, Secondary Hypogonadism
AIM-TEST: Microbiome-Targeted Nutrition for Functional Secondary Hypogonadism
AIM-TEST is a randomized, double-blind, placebo-controlled clinical trial evaluating whether an AI-guided, microbiome-targeted nutritional intervention can increase the body's own testosterone production in men aged 30-65 years…
- Trial name
- AIM-TEST (NCT07761546)
- Testing
- Fixed-Formula Microbiome-Targeted Oral Nutritional Supplement
- Where
- Turkey (Türkiye)
- Volunteers
- 112 people
- Sponsor
- Varol TUNALI
Depression
A Feasibility Study of an AI-Powered Clinical Decision Aid for Personalized Depression Treatment Selection
The Clinical Decision Aid (CDA) is a predictive model that takes as input individual patient characteristics, called 'features', which are inputted by the physician or by patient self-report, and outputs a list of possible…
- Trial name
- NCT04061642
- Testing
- Clinical Decision Aid
- Where
- Canada
- Volunteers
- 17 people
- Sponsor
- Aifred Health Inc.
Pneumothorax, Pulmonary Nodule, Solitary
Multi-Reader Retrospective Study Examining Carebot AI CXR 2.0.21-v2.01 Implementation in Everyday Radiology Clinical Practice
The primary objective is to evaluate the performance parameters of the proposed DLAD (Carebot AI CXR) in comparison to individual radiologists.
- Conditions
- Pneumothorax, Pulmonary Nodule, Solitary, Atelectasis, Subcutaneous Emphysema
- Trial name
- NCT05963945
- Testing
- Carebot AI CXR
- Where
- Czechia
- Volunteers
- 956 people
- Sponsor
- Carebot s.r.o.
Cholecystitis, Cholelithiasis
Feasibility and Utility of Artificial Intelligence (AI) / Machine Learning (ML) - Driven Advanced Intraoperative Visualization and Identification of Critical Anatomic Structures and Procedural Phases in Laparoscopic Cholecystectomy
The goal of this study is to evaluate the utility and efficacy of an artificial intelligence (AI) model at identifying structures and phases of surgery compared to traditional white light assessment by trained surgeons.
- Conditions
- Cholecystitis, Cholelithiasis, Biliary Dyskinesia
- Trial name
- NCT05775133
- Testing
- ICG
- Where
- United States
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Activ Surgical
Enhancing Brain Lesions
MR Image Synthesis With Low Gadobutrol Dose and AI
Study 22403 is a Phase 1 / Proof of Concept exploratory investigation to assess the non-inferiority of low dose gadobutrol and SubtleGAD™, a software medical device using an Artificial Intelligence (AI) deep learning-based method…
- Trial name
- NCT06224543
- Testing
- SubtleGAD, Gadobutrol
- Where
- 5 sites in United States
- Volunteers
- 60 people
- Sponsor
- Subtle Medical
AI (Artificial Intelligence), Osteoporosis
Evaluation of Dora Care for Supporting Fracture Liaison Services (FLS)
What is the study about? This study is testing "Dora", an AI-powered assistant that can make phone calls to patients, for use in the Fracture Liaison Service (FLS).
- Conditions
- AI (Artificial Intelligence), Osteoporosis, Outpatient, Telemedicine
- Trial name
- NCT07464171
- Testing
- Dora call
- Volunteers
- 217 people
- Sponsor
- Ufonia
Heart Arrest
Clinical Validation of Vital-PICASO for Predicting Cardiac Arrest Within 24 Hours
The purpose of this retrospective study is to evaluate the clinical performance of Vital-PICASO, an artificial intelligence-based biological signal analysis software designed to predict the risk of in-hospital cardiac arrest…
- Trial name
- NCT07742943
- Where
- South Korea
- Volunteers
- 387 people
- Sponsor
- Huinno AIM
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
2019 Novel Coronavirus Disease, 2019 Novel Coronavirus Infection
Evaluation of the AudibleHealth Dx AI/ML-Based Dx SaMD Using FCV-SDS in the Diagnosis of COVID-19 Illness: Clinical Validation
The AudibleHealth Dx is a diagnostic software as a medical device (Dx SaMD) consisting of an ensemble of software subroutines that interacts with a proprietary database of Signal Data Signatures (SDS), using Artificial…
- Conditions
- 2019 Novel Coronavirus Disease, 2019 Novel Coronavirus Infection, 2019-nCoV Disease, COVID-19 Pandemic
- Trial name
- NCT05364268
- Testing
- Diagnostic Test: Diagnostic Software as Medical Device
- Where
- United States
- Volunteers
- 514 people, healthy volunteers welcome
- Sponsor
- AudibleHealth AI, Inc.
Neovascular Age-related Macular Degeneration, Retinal Vein Occlusion
A Study to Understand the Usage of an Artificial Intelligence Technology Called DARWEN for Eye Disorders and to Find Out the Factors Influencing Treatment Frequencies in People With nAMD and RVO
This is an observational study in which data already collected from people with the eye disorders below are studied. In observational studies, only observations are made without participants receiving any advice or any changes to…
- Trial name
- AIRSPEED (NCT06495203)
- Testing
- anti-VEGF treatment
- Where
- Canada
- Volunteers
- 1,350 people
- Sponsor
- Bayer
Colorectal Adenoma, Colorectal Polyp
To Compare Artificial Intelligence Software Aided Adenoma Detection in Screening Colonoscopies Versus Standard Colonoscopy Without Artificial Intelligence Software Assistance in Participants Between 45 and 75 Years of Age
The aim of this study is to assess the efficacy of Ultivision Artificial Intelligence (AI) Software in detecting adenomas in screening colonoscopy procedures. The safety of Ultivision AI Software will also be assessed.
- Conditions
- Colorectal Adenoma, Colorectal Polyp, Colorectal Adenocarcinoma, Colorectal SSA
- Trial name
- AIDA (NCT04196088)
- Testing
- Ultivision Artificial Intelligence Software, No Artificial Intelligence Software enhancement
- Where
- 9 sites in United States
- Volunteers
- 978 people, healthy volunteers welcome
- Sponsor
- Docbot, Inc.
Soil Transmitted Helminths, Schistosomiasis Mansoni
Evaluation of an AI-DP for STH Deworming Programs: a Study Protocol
The goal of this observational study is to test a new AI diagnostic tool for detection, specification and quantification of parasitic infections (Ascaris, Trichuris, hookworm and S.
- Trial name
- KAKADU (NCT06055530)
- Testing
- Artificial Intelligence Digital Pathology
- Volunteers
- 1,100 people, healthy volunteers welcome
- Sponsor
- Enaiblers AB