Clinical trials: Artificial Intelligence
Proximal Caries, Tooth Caries
Detection of Proximal Caries in Bitewing Radiography Using Artificial Intelligence
Using a sequence of bitewing radiographs, Artificial intelligence assists in identifying interproximal caries. For the identification of dental caries in bitewing, periapical, and panoramic radiographs, a trained deep learning…
- Trial name
- NCT07404007
- Testing
- Artificial Intelligence (AI): Deep learning that is applied in Diagnosis of the proximal Caries, Manual annotation of Digital Bitewing Radiograph by human experts
- Where
- Egypt
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Cairo University
Coronary Artery Calcification, Cardiovascular Risk
Artificial Intelligence - Based Opportunistic Coronary Artery Calcium Scoring on Routine Chest-CT Scan
This retrospective, non-interventional study externally validates a pre-trained open-weight deep-learning algorithm (Swin-UNETR) for the opportunistic quantification of coronary artery calcium (CAC) on non-gated routine chest CT…
- Conditions
- Coronary Artery Calcification, Cardiovascular Risk, Coronary Artery Disease, End-Stage Renal Disease Requiring Haemodialysis
- Trial name
- NCT07808593
- Volunteers
- 1,950 people
- Sponsor
- University of Cologne
Hypertansion
Generative AI-Supported Personalized Education Compared With Printed Material for Adults With Hypertension
This study evaluates whether generative artificial intelligence-supported personalized education can improve hypertension knowledge and medication adherence in adults with hypertension compared with standard printed educational…
- Trial name
- GenAI-HYPER (NCT07776834)
- Testing
- Standard Hypertension Education, Generative AI-Supported Personalized Hypertension Education
- Where
- Turkey (Türkiye)
- Volunteers
- 88 people
- Sponsor
- Akdeniz University
Heart Failure, Atrial Fibrillation (AF)
AI-Based Cardiac Analysis Using 12-Lead and 1-Lead ECG
This pilot study is designed to evaluate the clinical performance and utility of the SmartECG-EF software in patients undergoing evaluations at Inha University Hospital.
- Conditions
- Heart Failure, Atrial Fibrillation (AF), Electrocardiogram
- Trial name
- NCT07844434
- Testing
- SmartECG-EF
- Where
- South Korea
- Volunteers
- 300 people
- Sponsor
- Inha University Hospital
Melanoma (Skin Cancer), Artificial Intelligence (AI)
Artificial Intelligence Based Melanoma Early Diagnosis and Risk Prediction in Children, Adolescents and Young Adults
The goal of this study is to develop supportive diagnostic artificial intelligence algorithms to distinguish melanoma from nevi or other benign pigmented skin lesions, especially in younger patients (below the age of 30).
- Conditions
- Melanoma (Skin Cancer), Artificial Intelligence (AI), Pediatric Cancer
- Trial name
- AI-MEL (NCT06621810)
- Where
- 3 sites in Germany, Italy and 1 more
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- German Cancer Research Center
Type 2 Diabetes Mellitus (T2DM)
Virtual Health Coaching With Artificial Intelligence for Glycemic Control in Type 2 Diabetes
This study aims to evaluate the effectiveness of a virtual health coaching program based on artificial intelligence (AI) in improving blood sugar control among people with type 2 diabetes in primary health care settings in…
- Trial name
- DIACOACH-AI (NCT07165730)
- Testing
- Virtual Health Coaching with Artificial Intelligence (DIACOACH), Standard Diabetes Education
- Where
- Indonesia
- Volunteers
- 206 people
- Sponsor
- Hasanuddin University
Atrial Fibrillation, Stroke
AI-Assisted Workflow for Occult Atrial Fibrillation Detection After Ischemic Stroke: A Prospective Randomized Trial
We hypothesize that an AI-guided AF risk stratification approach, particularly when combined with intensified rhythm monitoring using wearable devices and extended ECG patches, will significantly increase AF detection rates…
- Conditions
- Atrial Fibrillation, Stroke, Artificial Intelligence
- Trial name
- AI-AFIS (NCT07540065)
- Testing
- Active Follow-up Group, Standard Follow-up Group
- Where
- Taiwan
- Volunteers
- 400 people
- Sponsor
- National Taiwan University Hospital
Surveillance Endoscopy for Colorectal Cancer, Artificial Intelligence
Surveillance Modified by Artificial Intelligence in Endoscopy (SMARTIE)
Evaluation of an artificial intelligence system for polyp detection (CADe)
- Conditions
- Surveillance Endoscopy for Colorectal Cancer, Artificial Intelligence, Polyps of Colon, CADe
- Trial name
- SMARTIE (NCT05006092)
- Testing
- ENDOMIND
- Where
- Germany
- Volunteers
- 1,149 people, healthy volunteers welcome
- Sponsor
- Wuerzburg University Hospital
Pancreatic Cystic Lesion, Mucinous Cystadenoma of Pancreas
Management of Pancreatic Cystic Lesions Using Artificial Intelligence Based on EUS and Multimodal Data
The primary objective is to construct a multimodal AI model (Cyst-AI) based on EUS images and clinical data such as imaging features(CT or MRI) and laboratory tests to assist endoscopists in the diagnosis of pancreatic cystic…
- Conditions
- Pancreatic Cystic Lesion, Mucinous Cystadenoma of Pancreas, Intraductal Papillary Mucinous Neoplasm of Pancreas, Pseudocyst Pancreas
- Trial name
- NCT07463872
- Testing
- Cyst-AI model
- Where
- 2 sites in China
- Volunteers
- 500 people
- Sponsor
- Huazhong University of Science and Technology
Ophthalmic Imaging, Deep Learning
Diagnostic Performance of an AI-based Model for TCM Constitution Classification Using Ophthalmic Imaging
To evaluate the diagnostic performance of a multimodal deep learning model for identifying biased Traditional Chinese Medicine (TCM) constitutions using ophthalmic imaging
- Conditions
- Ophthalmic Imaging, Deep Learning, Artificial Intelligence (AI), Traditional Chinese Medicine Constitution
- Trial name
- NCT07127939
- Testing
- AI-based Ocular Diagnosis Model for TCM Constitutions
- Where
- China
- Volunteers
- 1,024 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital of Nanchang University
Gastric Cancers
Validation of a Model for Predicting Duodenal Stump Leakage After Gastrectomy
This study aims to validate a machine learning model for predicting duodenal stump leakage after laparoscopic radical gastrectomy for gastric cancer.
- Trial name
- NCT06807372
- Where
- China
- Volunteers
- 1,200 people
- Sponsor
- Jichao Qin
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
Pain
Visual Stimulation for Pain Relief
The goal of this study is to investigate a novel neuromodulatory approach utilizing visual stimulation to impact pain perception in healthy participants.
- Trial name
- NCT06276881
- Testing
- Visual Stimulation
- Where
- United States
- Volunteers
- 75 people, healthy volunteers welcome
- Sponsor
- Dandelion Science Sàrl
Jaw Tracking, Occlusion
Evaluation of the Impact of Integrating Dynamic Patient-Specific Motion and Implementing a Jaw Tracking System in the Attribution of the Occlusion in Full-Arch Restorations Through a Digital Workflow: A Clinical Study
The maxillomandibular relationship of diagnostic and definitive casts is a fundamental procedure in prosthodontics. Depending on the prosthodontic treatment involvement, different maxillomandibular relationship records can be…
- Trial name
- NCT06773728
- Testing
- Record occlusal contacts, Tracking of jaw movement
- Where
- Greece
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- National and Kapodistrian University of Athens
Emergency Care, Clinical Decision Support
Artificial Intelligence(AI) in the Emergency Department (ED) in Cologne
This retrospective, non-interventional study evaluates the prognostic performance of open-weight Large Language Models (LLMs) in the setting of a German academic emergency department.
- Conditions
- Emergency Care, Clinical Decision Support, Triage
- Trial name
- KINA-CO (NCT07725965)
- Where
- Germany
- Volunteers
- 100,000 people
- Sponsor
- University of Cologne
Heart Failure
AI-Based Personalized Self-Management for Patients With Heart Failure
This study aims to evaluate the effectiveness of an AI-based personalized self-management intervention on self-care behaviors and health-related quality of life among patients with chronic heart failure.
- Trial name
- NCT07841665
- Testing
- Experimental: AI-Based Personalized Self-Management Intervention, Behavioral: AI-Based Personalized Self-Management Intervention
- Where
- 2 sites in Egypt
- Volunteers
- 150 people
- Sponsor
- Alexandria University
Colonic Polyp
Review of the Impact of a Computer-aided Real-time Polyp Detection System on Adult Colonoscopy
Background: Removal of adenomatous polyps during colonoscopy is associated with long-term prevention of colorectal cancer-related deaths.
- Trial name
- COPILOT (NCT05822895)
- Testing
- CADe enabled programme (GI Genius)
- Where
- Singapore
- Volunteers
- 764 people
- Sponsor
- Sengkang General Hospital
Acute Myeloid Leukemia
Multi-omics Approach of Risk Stratification for Patients With de Novo Acute Myeloid Leukemia
The investigators will use machine learning to identify features on bone marrow smears and select features that are related to gene mutations, gene expression, or prognosis.
- Trial name
- NCT05983172
- Where
- Taiwan
- Volunteers
- 1,500 people
- Sponsor
- National Taiwan University Hospital
Ovarian Cancer, Metastatic Ovarian Carcinoma
Prediction of Ovarian Cancer Histotypes and Surgical Outcome
The standard treatment for advanced ovarian cancer (AOC) is primary cytoreductive surgery (PCS) followed by adjuvant chemotherapy.
- Trial name
- PANtHer-AI (NCT07057167)
- Testing
- Diagnostic Laparoscopy videos
- Volunteers
- 100 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Cognitive Dysfunction, Stroke
Vascular mEchanisms in, Stroke, dePression, dementiA, and deliRum: The VESPAR Project
The goal of this observational study is to determine the feasibility of using integrated Transcranial Doppler Ultrasonography or Near Infrared Spectroscopy to detect changes in cerebral autoregulation and neurovascular coupling…
- Conditions
- Cognitive Dysfunction, Stroke, Dementia, Depression
- Trial name
- VESPAR (NCT05649800)
- Where
- 2 sites in United Kingdom
- Volunteers
- 140 people, healthy volunteers welcome
- Sponsor
- University of Leicester