Clinical trials: AI
Postoperative Complications, Cardiovascular Diseases
Comparing Traditional Risk Scores and an AI-Based Multimodal Model for Predicting Cardiovascular Events After Gastrointestinal Surgery
The goal of this observational study is to develop and evaluate an artificial intelligence (AI)-based multimodal model for predicting major cardiovascular events within 30 days after gastrointestinal surgery in adults at Bach Mai…
- Conditions
- Postoperative Complications, Cardiovascular Diseases, Digestive System Surgical Procedures
- Trial name
- GI-MACE-AI (NCT07539532)
- Where
- Vietnam
- Volunteers
- 5,000 people
- Sponsor
- Bach Mai Hospital
Breast Cancer
Research on AI Models for Predicting Breast Cancer Treatment Effectiveness to Guide Her-2 Targeted ADC Therapy
This study aims to develop an AI-based predictive tool to help clinicians more accurately determine whether breast cancer patients can benefit from HER-2-targeted antibody-drug conjugate (T-DXd) therapy before treatment.
- Trial name
- NCT07689929
- Where
- China
- Volunteers
- 900 people
- Sponsor
- Zhejiang Cancer Hospital
Malocclusion, Angle Class I, Malocclusion, Angle Class II
AI-Assisted Versus Conventional Orthodontic Diagnosis and Treatment Planning
This study compared an artificial intelligence-assisted orthodontic diagnostic workflow using WebCeph with a conventional clinician-based workflow.
- Conditions
- Malocclusion, Angle Class I, Malocclusion, Angle Class II, Malocclusion, Angle Class III
- Trial name
- AI-OrthoDx (NCT07690774)
- Where
- Yemen
- Volunteers
- 120 people
- Sponsor
- Ben Hafeed Dental Center
Keratoconus, Keratoconus, Artificial Intelligence, Support Vector Machine
Predicting Manifest Astigmatism in Keratoconus Patients.
The cornea of the human eye has several functions. It is transparent to allow light into the eye and its shape focuses the incoming light onto the retina.
- Trial name
- NCT06798779
- Testing
- Glasses, Corneal topography
- Where
- United Kingdom
- Volunteers
- 800 people
- Sponsor
- Royal Devon and Exeter NHS Foundation Trust
MPS IIIB (Sanfilippo B Syndrome)
Evaluation of Blood Brain Barrier Integrity and Structural Abnormalities in MPS IIIB Patients Using Multimodal Magnetic Resonance Imaging
The purpose of the study is to characterize structural abnormalities in the brain and the integrity of the blood brain barrier in patients with mucopolysaccharidosis type IIIB (MPS IIIB).
- Trial name
- NCT02090179
- Where
- United Kingdom
- Volunteers
- 5 people
- Sponsor
- Alexion Pharmaceuticals, Inc.
Tetanus
Real-time Artificial Intelligent (AI)-Assisted Muscle Ultrasound for Monitoring Muscle Mass Reduction in ICU Patients
This study aims to investigate the feasibility of using a real-time artificial intelligent (AI)-assisted tool for Rectus Femoris cross sectional area measurement from muscle ultrasound to improve reliability, reduce inter- and…
- Trial name
- RAIMUS (NCT06034093)
- Testing
- Real-time AI-assisted muscle ultrasound
- Where
- Vietnam
- Volunteers
- 254 people
- Sponsor
- Oxford University Clinical Research Unit, Vietnam
Ophthalmology
The Clinical Application of Artificial Intelligent(AI) Visual Inspection System
In this study, the investigators provide participants from ophthalmic clinic the AI visual inspection system and EDTRS in the purpose of seeking out a better way of visual inspection with high efficiency and accuracy, and report…
- Trial name
- AI (NCT03310216)
- Testing
- Order I of visual inspection, Order II of visual inspection
- Where
- China
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
Diabetic Retinopathy, Glaucoma
AI for the Detection of Retinal Disease and Glaucoma in Patients With Diabetes Mellitus in Primary Care
Background: Diabetic retinopathy (DR) is one of the most important causes of blindness worldwide, especially in developed countries.
- Conditions
- Diabetic Retinopathy, Glaucoma, Age-Related Macular Degeneration, Choroidal Nevus
- Trial name
- NCT04132401
- Testing
- algorithm
- Where
- Spain
- Volunteers
- 902 people
- Sponsor
- Fundacio d'Investigacio en Atencio Primaria Jordi Gol i Gurina
Surgical Procedures, Operative, Artificial Intelligence (AI)
Artificial Intelligence for Surgical Care in War-Torn Sudan: Feasibility, Barriers, and Ethical Perspectives
This study is designed to examine how artificial intelligence (AI) could be applied to support surgical care in Sudan during the ongoing armed conflict.
- Conditions
- Surgical Procedures, Operative, Artificial Intelligence (AI), War Injury, Wounds and Injuries
- Trial name
- NCT07149012
- Testing
- Artificial Intelligence Awareness and Feasibility Assessment
- Where
- Sudan
- Volunteers
- 185 people
- Sponsor
- Sudan Medical Specialization Board
Bacterial Infections
Development and Accuracy Evaluation of Gram Staining Analysis AI
The investigators use Gram-stained specimens provided from clinical settings to develop and evaluate the accuracy of Gram staining analysis AI
- Trial name
- NCT06377592
- Testing
- Sample collection without intervention
- Where
- Japan
- Volunteers
- 18,000 people
- Sponsor
- GramEye
Multiple Myeloma
AI-Based Fine Morphological Subtyping of Myeloma Single Cells for Predicting FISH Abnormalities
This study developed an artificial intelligence (AI)-based methodology for the quantitative analysis of single-cell morphological data in multiple myeloma (MM).
- Trial name
- AI (NCT07410403)
- Where
- China
- Volunteers
- 10 people
- Sponsor
- Fuling Zhou
Obsessive-Compulsive Disorder
A Wearable AI Feedback Tool for Pediatric OCD
To test the feasibility of implementing digitally enhanced psychotherapy and research in a community child and adolescent mental health center including the acceptability of the digital technology to patients, parents and…
- Trial name
- NCT05064527
- Testing
- wearable biosensor, Treatment as usual (TAU), Exposure and response prevention (ERP)
- Where
- Denmark
- Volunteers
- 36 people
- Sponsor
- Mental Health Centre Copenhagen, Bispebjerg and Frederiksberg Hospital
Endodontic Retreatment, Non-surgical Retreatment
Development and Validation of a Deep Learning Model to Predict Endodontic Retreatment Difficulty From Periapical Radiographs
The aim of this study is to develop and evaluate an artificial intelligence-based model capable of analyzing periapical radiographs of maxillary and mandibular molars to predict the difficulty level of non-surgical root canal…
- Conditions
- Endodontic Retreatment, Non-surgical Retreatment, Endodontics, AI (Artificial Intelligence)
- Trial name
- Ai Retreatment (NCT07611279)
- Testing
- Deep Learning Model to Predict Endodontic Retreatment Difficulty from Periapical Radiographs
- Volunteers
- 123 people
- Sponsor
- Cairo University
Root Canal Treatment in Children Primary Molars, Postoperative Pain
Efficiency of Sonic Activation During Root Canal Treatment of Primary Molars on Postoperative Pain and Facial Expressions
This study was conducted to evaluate the efficiency of sonic activation of 5%sodium hypochlorite during root canal treatment of primary molars on postoperative pain and facial expressions.
- Conditions
- Root Canal Treatment in Children Primary Molars, Postoperative Pain, Facial Expressions, Facial Emotions
- Trial name
- NCT07138937
- Testing
- Root canal treatment in primary molars with irreversible pulpitis, EDDY system for sonic activation of irrigation, side-vented needle
- Where
- Egypt
- Volunteers
- 30 people
- Sponsor
- Suez Canal University
Congenital Anomalies, Neonatal Complications
AI-Powered Neonatal Risk Assessment for Improved Perinatal Outcomes
This study aims to develop advanced artificial intelligence (AI) models that predict neonatal risks and complications based on historical multimodal health data, including ultrasound and MRI scans.
- Conditions
- Congenital Anomalies, Neonatal Complications, Perinatal Outcomes, Perinatal Outcomes of the Mother and Fetus
- Trial name
- NCT07064356
- Volunteers
- 50,000 people, healthy volunteers welcome
- Sponsor
- FetalFirst Limited
Chest Pain, Stroke Acute
Evaluation and Optimization of Telephone Triage Using Artificial Intelligence (AI) Models for the Detection of Demands for Time-dependent Pathology at the Emergency and Urgent Care Coordination Center (CCUE).
Improving Telephone Triage in Emergency Calls with AI The Coordinating Centre for Urgencies and Emergencies in Andalusia (CCUE) handles thousands of calls every day.
- Conditions
- Chest Pain, Stroke Acute, Respiratory Failure, Cardiac Arrest (CA)
- Trial name
- TrIAje Project (NCT07247669)
- Where
- Spain
- Volunteers
- 5,000,000 people
- Sponsor
- Centro de Emergencias Sanitarias 061 Andalucía
Depressive Symptoms, Mental Health (Depression)
Using a School-Based Depression Literacy Psychoeducation Program With AI Chatbot to Improve Depression Literacy and Help-Seeking Among High School Students
The primary purpose of this randomized controlled trial is to evaluate the effectiveness of an AI chatbot enhanced school-based depression literacy psychoeducational program, combined with a resource navigation booklet, on high…
- Trial name
- NCT07790731
- Testing
- school-based depression literacy program
- Where
- Taiwan
- Volunteers
- 720 people, healthy volunteers welcome
- Sponsor
- Chang Hsiu-Ju
Occupational Therapy
AI-Supported Occupational Therapy for Handwriting
Aim: This study investigates the impact of an AI-supported occupational therapy program, developed using the Model of Human Occupation (MOHO), on handwriting skills in children at risk for Developmental Coordination Disorder…
- Trial name
- NCT06871566
- Testing
- Artificial Intelligence-Supported Occupational Therapy Program
- Where
- Turkey (Türkiye)
- Volunteers
- 42 people
- Sponsor
- Hacettepe University
Dental Education, Artificial Intelligence (AI)
AI Virtual Patient Training for Dental Student History Taking
This randomized study evaluated whether an artificial intelligence-assisted virtual patient could support third-year dental students in practicing medical and dental history taking.
- Conditions
- Dental Education, Artificial Intelligence (AI), Virtual Patient, History Taking
- Trial name
- NCT07688668
- Testing
- Gemini-Based AI Virtual-Patient Training, Conventional Role-Play Training
- Where
- Vietnam
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Hue University of Medicine and Pharmacy
Medical Student
AI-Assisted Learning in Medicine
This multi-center retrospective cohort study investigates the real-world impact of integrating MetaGP-Edu, a proprietary AI tool fine-tuned for medical education, into the undergraduate Internal Medicine curriculum.
- Trial name
- NCT06945159
- Where
- 2 sites in China
- Volunteers
- 1,632 people, healthy volunteers welcome
- Sponsor
- Kang Zhang