Clinical trials: Deep Learning
Bowel Obstruction, Artificial Intelligence
Deep Learning-based Artificial Intelligence for the Diagnosis of Small Bowel Obstruction
The study will compare the diagnostic accuracy and time to diagnosis of computed tomography images of patients with suspected intestinal obstruction seen in the emergency room by residents and surgeons, with and without…
- Trial name
- NCT06481358
- Testing
- Artificial intelligence
- Where
- Japan
- Volunteers
- 17 people, healthy volunteers welcome
- Sponsor
- Nagoya University
Periodontal Diseases
Deep Learning-Based Measurement of Keratinized Gingiva Width Using Smartphone-Acquired Clinical Images
This study aims to develop and validate an artificial intelligence-based system for automated measurement of keratinized gingiva width using smartphone-acquired intraoral clinical photographs.
- Trial name
- NCT07689552
- Testing
- Artificial Intelligence-Based Keratinized Gingiva Width Assessment
- Where
- Egypt
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Al-Azhar University
Glioma
MR Based Prediction of Molecular Pathology in Glioma Using Artificial Intelligence
This registry aims to collect clinical, molecular and radiologic data including detailed clinical parameters, molecular pathology (1p/19q co-deletion, MGMT methylation, IDH and TERTp mutations, etc) and conventional/advanced/new…
- Trial name
- NCT04217018
- Testing
- Prediction of molecular pathology
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- The First Affiliated Hospital of Zhengzhou University
Colorectal Neoplasms, Colonic Polyp
Effectiveness of Artificial Intelligence-Assisted Colonoscopy for Adenoma Detection in Routine Clinical Practice : a Prospective Multicenter Randomized Trial
This study is a multi-center, randomized controlled trial designed to evaluate whether an artificial intelligence (AI) system can assist endoscopists to improve the detection rate of colorectal adenomas and cancers during…
- Conditions
- Colorectal Neoplasms, Colonic Polyp, Adenoma, Colorectal Cancer
- Trial name
- AI-COLOADR (NCT07307547)
- Testing
- AI-Assisted Colonoscopy
- Where
- China
- Volunteers
- 3,300 people, healthy volunteers welcome
- Sponsor
- Zhejiang University
High-risk Cardiac Patients
Registry Study for the Evaluation of High-risk Cardiac Patients by WILLEM AI-based ECG Platform
The WILLEM Registry is a large-scale, single-group, observational, registry study to collect continuous clinical evidence of Willem in real-world settings.
- Trial name
- WILLEMRegistry (NCT07333547)
- Testing
- Willem AI ECG assessment
- Where
- 5 sites in United States, Ecuador and 1 more
- Volunteers
- 200,000 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
Scoliosis Patients
Artificial Intelligence and Scoliosis
The aim of the study to use artificial intelligence technology in assessment of scoliosis degree of severity and to personalize for treatment plan for each pa tient .
- Trial name
- NCT06589583
- Where
- Egypt
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Delta University for Science and Technology
Healthy Individual
CDSS-assisted UGI Endoscopy vs. Routine Screening Endoscopy
This study aimed to find the CDSS-assisted upper GI endoscopy has clinical benefit compared to conventional routine screening upper GI endoscopy. Investigators will conduct a pilot randomized controlled study.
- Trial name
- NCT05452473
- Testing
- CDSS-assisted upper GI endoscopy, no intervention
- Where
- South Korea
- Volunteers
- 1,200 people, healthy volunteers welcome
- Sponsor
- Chuncheon Sacred Heart Hospital
Heart Failure, Heart Failure With Reduced Ejection Fraction
AI-ECG for Time-Resolved Prediction of HFrEF
This study aims to develop and validate a deep learning-based electrocardiogram (ECG) model for predicting the future risk of heart failure with reduced ejection fraction (HFrEF).
- Conditions
- Heart Failure, Heart Failure With Reduced Ejection Fraction, Left Ventricular Dysfunction, Cardiac Remodeling
- Trial name
- NCT07519434
- Where
- China
- Volunteers
- 286,709 people, healthy volunteers welcome
- Sponsor
- Shanghai Zhongshan Hospital
Artificial Intelligence, Diagnostic Imaging
Real-time Artificial Intelligence System for Detecting Multiple Ocular Fundus Lesions by Ultra-widefield Fundus Imaging
This prospective multicenter study will evaluate the efficacy of a real-time artificial intelligence system for detecting multiple ocular fundus lesions by ultra-widefield fundus imaging in real-world settings.
- Conditions
- Artificial Intelligence, Diagnostic Imaging, Abnormality of the Fundus, Diagnostic Screening Programs
- Trial name
- NCT04859634
- Testing
- Taking an ultra-widefield fundus image
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Osteoporosis
AI Model for Bone Mineral Density Prediction From X-Ray Images
Osteoporosis, a pervasive skeletal disorder characterized by diminished bone strength predisposing individuals to an increased risk of fractures, presents a substantial public health challenge globally.
- Trial name
- NCT06652061
- Testing
- Dual Energy X-Ray Absorptiometry Scan (DEXA Scan), X-Ray (Hip and Spine)
- Where
- Bangladesh
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Bangladesh University of Engineering and Technology
Gastrointestinal Disease
Deep Learning Algorithm for the Diagnosis of Gastrointestinal Diseases Depending on Tongue Images
The purpose of this study is to analysize the relationship between the characteristics of tongue image and the diagnosis of gastrointestinal diseases , then develop and validate a deep learning algorithm for the diagnosis of…
- Trial name
- NCT04811599
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Shandong University
Otosclerosis
Interest of Using Deep Learning Algorithm for Otosclerosis Detection on Temporal Bone High Resolution CT
Otosclerosis is a relatively frequent pathology, of multifactorial origin with genetic and hormonal part, predominantly in women.
- Trial name
- OtoIA (NCT05987215)
- Testing
- Radiologic diagnosis, Artificial intelligence diagnosis
- Where
- France
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- Hospices Civils de Lyon
Keratoconus, Eye Diseases
Development of a Keratoconus Detection Algorithm by Deep Learning Analysis and Its Validation on Eyestar Images
Monocentric clinical study to develop an imaging analysis algorithm for the Eyestar 900 to identify keratoconus corneas and improve biometry for intraocular lens calculations
- Conditions
- Keratoconus, Eye Diseases, Cataract, Corneal Ectasia
- Trial name
- DKDA (NCT04763785)
- Testing
- Corneal tomography with Eyestar 900, Corneal tomography with Pentacam, Biometry with IOL-Master
- Where
- Switzerland
- Volunteers
- 4,800 people, healthy volunteers welcome
- Sponsor
- Insel Gruppe AG, University Hospital Bern
Scoliosis Idiopathic Adolescent, Scoliosis
Deep Learning for Early Scoliosis Detection Using mmWave Radar Gait Data
Scoliosis is a sideways curvature of the spine that often develops during childhood and adolescence. When detected early, scoliosis can be managed effectively with non-invasive approaches such as bracing and physiotherapy, while…
- Trial name
- ScoliRadar-AI (NCT07593560)
- Testing
- mmWave Radar Gait Assessment
- Where
- Turkey (Türkiye)
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Gebze Technical University
Non-Alcoholic Fatty Liver Disease
Feasibility Study of Deep Learning-based MDixon Quant for Quantitative Assessment of Chemotherapy-induced Fatty Liver
The purpose of this study is to quantitatively assess the changes in liver fat content in cancer patients before and after treatment.
- Trial name
- NCT06735118
- Testing
- Neoadjuvant chemotherapy
- Where
- China
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Yunnan Cancer Hospital
Extra Canals
AI Detection Model of Extra Root Canals in Mandibular Premolars Using CBCT Scans
Successful endodontic treatment depends on the complete identification and management of the entire root canal system. Missed root canals are a major cause of endodontic failure, particularly in mandibular premolars, which…
- Trial name
- NCT07689708
- Testing
- AI Model to detect any extra canals in mandibular premolars
- Volunteers
- 272 people, healthy volunteers welcome
- Sponsor
- Cairo University
AKI - Acute Kidney Injury
Risk Factors and Deep Learning Model for CI-AKI
Contrast-associated acute kidney injury (CI-AKI) is a sudden and significant decline in renal function resulting from the use of a contrast agent.
- Trial name
- NCT06596785
- Where
- China
- Volunteers
- 2,000 people, healthy volunteers welcome
- Sponsor
- Xiao Li，MD
Mental Disorders
Brain MRI (Magnetic Resonance Imaging) Scans of Patients With Treatment Resistant Depression (TRD) and Healthy Controls
Treatment resistant depression (TRD) is a major health concern, with 10% of patients with major depressive disorder not responding to conventional treatments.
- Trial name
- NCT01162434
- Where
- United Kingdom
- Volunteers
- 21 people, healthy volunteers welcome
- Sponsor
- University of Bristol
Parkinson Disease, Alzheimer Disease
Application of AI Technology for the Diagnosis and Treatment of Geriatric Diseases
1) Characteristics of handwriting, gait, speech, eye movements, biological samples (blood, urine, stool, saliva, etc.), images, EEG, and other relevant markers in patients with Alzheimer's disease.
- Conditions
- Parkinson Disease, Alzheimer Disease, Nervous System Diseases, Geriatric Diseases
- Trial name
- NCT06295263
- Testing
- Handwriting, gait, speech, eye movements, biological samples (blood, urine, stool, saliva, etc.), images, EEG, and other relevant markers
- Where
- China
- Volunteers
- 460 people, healthy volunteers welcome
- Sponsor
- Qilu Hospital of Shandong University
Type2 Diabetes
Social Network Analysis to Identify Community Health Workers
The objective of this study is to recruit influential community members using Snowball Sampling Methods. Community members identified through social network analysis as influential and well-connected will be trained as community…
- Trial name
- NCT04210024
- Testing
- Diabetes Empowerment Education Program
- Where
- 2 sites in United States
- Volunteers
- 91 people, healthy volunteers welcome
- Sponsor
- Brittany L Smalls