Clinical trials: Deep Learning, open to volunteers
Gingival Phenotype Assessment
Comparison of Artificial Intelligence and Clinicians With Different Experience Levels in Assessing Gingival Phenotype
The goal of this observational study is to compare the performance of clinicians with different experience levels and a deep learning-based artificial intelligence (AI) model in assessing gingival phenotype using two diagnostic…
- Trial name
- NCT07570290
- Testing
- Periodontal Probe Transparency Method, Visual Assessment Method, Deep Learning-Based Artificial Intelligence Model
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Ondokuz Mayıs University
Glioma
MR Based Survival Prediction of Glioma Patients Using Artificial Intelligence
This registry aims to collect clinical, molecular and radiologic data including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, MGMT methylation, IDH and TERTp mutations, etc) and…
- Trial name
- NCT04215211
- Testing
- Survival prediction for glioma patients
- Where
- China
- Volunteers
- 2,500 people
- Sponsor
- The First Affiliated Hospital of Zhengzhou University
Renal Tumor, Kidney Neoplasm
An MRI-Based Study of Intelligent Pathological Subtyping and Grading of Renal Tumors
This retrospective + prospective, non-interventional study aims to develop and evaluate artificial intelligence methods for the detection, pathological subtyping, and histological grading of renal tumors using magnetic resonance…
- Trial name
- NCT07743749
- Testing
- MRI-Based Artificial Intelligence Analysis
- Where
- China
- Volunteers
- 900 people
- Sponsor
- Cancer Institute and Hospital, Chinese Academy of Medical Sciences
Diabetes (Insulin-requiring, Type 1 or Type 2), Pediatric Diabetes
A Novel Miniature Equine-Assisted Diabetes Education Program for Youth: Evaluating the Diabetes Equine Empowerment Program (DEEP).
The Diabetes \& Equine Empowerment Program (DEEP) is a research study evaluating a novel diabetes education program that combines hands-on interactions with miniature horses and evidence-based diabetes self-management education…
- Conditions
- Diabetes (Insulin-requiring, Type 1 or Type 2), Pediatric Diabetes, Diabetes (DM)
- Trial name
- DEEP (NCT07822555)
- Testing
- Diabetes & Equine Empowerment Program (DEEP)
- Volunteers
- 50 people
- Sponsor
- Nemours Children's Clinic
Glioma
Histopathology Images Based Survival Prediction of Glioma Patients Using Artificial Intelligence
This registry aims to collect clinical, molecular and histopathology imaging including detailed survival data, clinical parameters, molecular pathology (1p/19q codeletion, MGMT methylation, IDH and TERTp mutations, etc) and…
- Trial name
- NCT04215224
- Testing
- Histopathology images based survival prediction for glioma patients
- Where
- China
- Volunteers
- 3,500 people
- Sponsor
- The First Affiliated Hospital of Zhengzhou University
Cardiovascular Disease
Deep Learning of Retinal Photographs and Atherosclerotic Cardiovascular Disease
The research team has developed a deep learning algorithm that predicts anthropometric factors from fundus photographs and an algorithm that predicts cardiovascular disease risk.
- Trial name
- NCT04749927
- Where
- South Korea
- Volunteers
- 2,400 people, healthy volunteers welcome
- Sponsor
- Yonsei University
Lung Cancer
Integrating Artificial Intelligence Into Lung Cancer Screening.
Lung cancer (LC) screening using low-dose chest CT (LDCT) has already proven its efficacy. The mortality reduction associated with LC screening is around 20%, much higher than the reduction in mortality associated with screening…
- Trial name
- DACAPO (NCT05704920)
- Testing
- IA, Not IA
- Where
- France
- Volunteers
- 2,722 people
- Sponsor
- Centre Hospitalier Universitaire de Nice
Hepatocellular Carcinoma
Deep Learning-Based Multidimensional Body Composition Mapping for Outcome Prediction in HCC Patients Undergoing TACE
Hepatocellular carcinoma (HCC) is a common liver cancer, and many patients cannot receive surgery. For these patients, transarterial chemoembolization (TACE) is an important treatment.
- Trial name
- NCT07235410
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Endodontic Working Length Determination
AI-Based Working Length Determination in Curved Root Canals
This study tests whether artificial intelligence (AI) can accurately measure the length of curved root canals from dental x-rays.
- Trial name
- AI-CURL (NCT07787078)
- Volunteers
- 200 people
- Sponsor
- Alanya Alaaddin Keykubat University
Proliferative Vitreoretinopathy
Imaging and Predictive Modelling of Proliferative Vitreoretinopathy.
Patients with retinal detachment are at risk of recurrence and failure of surgery requiring multiple surgeries due to a condition called proliferative vitreoretinopathy (PVR).
- Trial name
- NCT07682025
- Where
- United Kingdom
- Volunteers
- 100 people
- Sponsor
- University College, London
Parkinson Disease, Multiple System Atrophy
Facilitating Diagnostics and Prognostics of Parkinsonian Syndromes Using Neuroimaging
The goals of this study are: 1) to identify biomarkers using neuroimaging that are associated with progression rate using statistical methods, and 2) to identify biomarkers that are associated with the differential diagnosis of…
- Conditions
- Parkinson Disease, Multiple System Atrophy, Progressive Supranuclear Palsy
- Trial name
- NCT03872102
- Where
- United States
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- University of Texas Southwestern Medical Center
Neoplasms (Cancer / Tumors), Colorectal Neoplasms
A Preregistered Multi-Cohort Evaluation of the FATHOM AI System for Molecular Testing Prioritization to Support Clinical Trial Enrollment
Many clinical trials evaluating cancer treatments require patients to undergo testing for specific molecular markers as part of eligibility screening, typically using immunohistochemistry or sequencing.
- Conditions
- Neoplasms (Cancer / Tumors), Colorectal Neoplasms, Lung Neoplasms, Endometrial Neoplasms
- Trial name
- FATHOM (NCT07814872)
- Where
- United States
- Volunteers
- 30,000 people
- Sponsor
- Harvard Medical School (HMS and HSDM)
Epilepsy Intractable
Neuronal Mechanisms of Learning and Utilizing Abstract Representations
The purpose of this study is to examine how memories of past experiences are used to guide behavior in novel situations through the cognitive process of abstraction.
- Trial name
- NCT07454785
- Testing
- Cedrus RB-844 response pad; Adtech Behnke-Fried micro-electrodes; Neurolynx electrophysiology system; Blackrock Cerestim stimulator
- Where
- United States
- Volunteers
- 114 people
- Sponsor
- Cedars-Sinai Medical Center
Pulmonary Nodules
Multicenter Prospective Validation of AI Models for Malignancy Risk Prediction in Pulmonary Nodules
This multicenter prospective diagnostic accuracy study will compare the performance of three artificial intelligence (AI) models (MVCS, LungDoc, and a United Imaging AI model) for predicting the malignancy risk of pulmonary…
- Trial name
- NCT07727122
- Where
- 5 sites in China
- Volunteers
- 3,000 people
- Sponsor
- Guangdong Provincial People's Hospital
Colon Cancer Patients
Spectral Precise Image-Colon Cancer
This is a single-center, comparative, observational study. Datasets will be collected from patients with pathologically confirmed colon cancer who undergo abdomen-pelvis enhanced spectral CT scan.
- Trial name
- NCT07620444
- Testing
- This is an observational study
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Philips Clinical & Medical Affairs Global
Non-Small Cell Lung Cancer, Brain Metastases
Retrospective Multicenter Study of Patient-level T1CE/FLAIR MRI Deep Learning to Predict EGFR/ALK Driver Status in NSCLC Brain Metastases With External Validation and Survival Analysis
This retrospective multicenter observational study aims to develop and externally validate a noninvasive deep learning model based on routine brain MRI to identify actionable driver alterations in patients with non-small cell…
- Trial name
- DL-DriverBM (NCT07373951)
- Where
- China
- Volunteers
- 380 people
- Sponsor
- Ming Yang
Artificial Intelligence (AI), Deep Learning
The Construction and Effect Verification of a Deep Learning-based Automated Semantic Segmentation Model for Medical Imaging
Hepatocellular Carcinoma(HCC) is a common disease in China, ranking as the fourth most prevalent malignant tumor and the third leading cause of cancer-related deaths in the country.
- Conditions
- Artificial Intelligence (AI), Deep Learning, Laparoscopic Surgery
- Trial name
- NCT06864702
- Testing
- Whether the patient received diagnosis and treatment at Zhujiang Hospital of Southern Medical University and retained medical images such as abdominal
- Where
- China
- Volunteers
- 220 people, healthy volunteers welcome
- Sponsor
- Zhujiang Hospital
Lung Cancer, Health Screening
Deep Learning Using Chest X-Rays to Identify High Risk Patients for Lung Cancer Screening CT
The goal of this clinical trial is to evaluate whether an AI tool that alerts providers to patients at high 6-year risk of lung cancer based on their chest x-ray images will improve lung cancer screening CT participation.
- Conditions
- Lung Cancer, Health Screening, Early Cancer Detection, Deep Learning
- Trial name
- NCT06910956
- Testing
- CXR-LC
- Where
- United States
- Volunteers
- 1,500 people
- Sponsor
- Massachusetts General Hospital
Chronic Insomnia, Epilepsy
PREDiction of Different Variants of Sleep Stages for the Diagnosis Support of Chronic Insomnia and Epilepsy
The objective of this study is to develop and validate deep learning algorithms for automated sleep stage and sub-stage classification using overnight polysomnography data.
- Conditions
- Chronic Insomnia, Epilepsy, Sleep Disorders
- Trial name
- PREDSomADICE (NCT07547501)
- Volunteers
- 1,500 people
- Sponsor
- Assistance Publique - Hôpitaux de Paris
Coronary Disease, Coronary Artery Disease
Evaluation and Treatment Strategy Development of Coronary Heart Disease Guided by OCT Based on Multimodal Deep Learning
This is a retrospective, multicenter, observational study aimed at assessing stent apposition for coronary stent implantation by an optical coherence tomography system constructed by deep learning algorithms and evaluating the…
- Trial name
- NCT06544681
- Testing
- Coronary stenting with planned drug eluting stent (DES).
- Volunteers
- 2,000 people
- Sponsor
- Xiang Ma