Clinical trials: Artificial Intelligence in Education
Dental Caries
AI-Based Detection of Dental Caries in Children
This study aims to evaluate the effects of an artificial intelligence (AI)-based caries detection system on the diagnosis and categorization of dental caries in pediatric patients.
- Trial name
- NCT06984029
- Where
- Egypt
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- Noura Nageh Ramadan Ahmed
Glaucoma
Glaucoma Screening Using Artificial Intelligence Assisted Clinical Model in Singapore's Diabetic Eye Screening Program
Glaucoma is major cause of irreversible blindness and is characterized by optic nerve damage and visual field loss. Screening for glaucoma is challenging due to lack of a simple, accurate, cost-efficient and standardized process.
- Trial name
- AIGS (NCT07243665)
- Testing
- Artificial Intelligence model to detect glaucoma, No intervention
- Where
- Singapore
- Volunteers
- 1,040 people
- Sponsor
- Singapore Eye Research Institute
High-risk Pregnancy, Pregnancy
AI-Powered CURAᵀᴹ Application for Identifying At-Risk Pregnancies in Obstetric Management
It is important to identify high pregnancies early through screening so that appropriate care and intervention may be instituted.
- Conditions
- High-risk Pregnancy, Pregnancy, Antenatal Health
- Trial name
- CURAte (NCT06974188)
- Testing
- AI-risk Stratification
- Where
- Singapore
- Volunteers
- 1,700 people, healthy volunteers welcome
- Sponsor
- National University Hospital, Singapore
Cerebral Stroke
Conjunctival and Retinal Vascularization and Small Vessel Disease
The purpose of the study is to use a simple photography of conjunctival vessels to search for an association between conjunctival vessels abnormalities and the load of small vessel disease as quantified by MRI in patients with…
- Trial name
- EVACORMA (NCT04447599)
- Testing
- photography of conjunctival vessels
- Where
- France
- Volunteers
- 850 people
- Sponsor
- University Hospital, Toulouse
Prostate Cancer
The PROSECCA Study, Answering New Questions in Prostate Cancer
Nearly half of all cancer patients receive radiotherapy as part of their treatment and although it is effective at destroying cancerous lesions deep within the body, this comes at the cost of damaging healthy, or normal, tissues.
- Trial name
- PROSECCA (NCT06714630)
- Where
- United Kingdom
- Volunteers
- 15,000 people
- Sponsor
- University of Edinburgh
Learning Development, Obstetric
Adaptive Gamification in Obstetric Nursing
This pilot study, conducted at the University of Atlántico Medio, seeks to transform the training of future nurses through a "Precision Education" model, moving away from generic simulations to focus on learning adapted to the…
- Trial name
- NCT07434336
- Testing
- Adapted Gamified, Generic Gamified
- Where
- Spain
- Volunteers
- 38 people, healthy volunteers welcome
- Sponsor
- Servicio Canario de Salud
Surgical Education and Anatomical Identification in Laparoscopic Cholecystectomy
Using AI and Fluorescence Guidance to Enhance Extrahepatic Bile Duct Identification Among Junior Surgeons During Laparoscopic Cholecystectomy
The present study evaluates whether PGY trainees and surgical residents, with or without AI assistance, could accurately identify the presence and anatomical location of the CBD, as well as delineate intraoperative danger zones…
- Trial name
- NCT07188181
- Where
- Taiwan
- Volunteers
- 8 people
- Sponsor
- Chang Gung Memorial Hospital
Medical Education, Artificial Intelligence
Artificial Intelligence-Generated vs Academician-Developed Multiple True/False Questions in Anesthesiology Education
This prospective observational study aims to evaluate the effectiveness and educational value of artificial intelligence (AI)-generated multiple true/false questions compared to those developed by experienced academicians in…
- Conditions
- Medical Education, Artificial Intelligence, Assessment Methods in Medical Training
- Trial name
- NCT07522658
- Where
- Turkey (Türkiye)
- Volunteers
- 26 people, healthy volunteers welcome
- Sponsor
- Kutahya Health Sciences University
Pulmonary Hypertension, Pulmonary Arterial Hypertension
Validation of a Machine Learning Predictive Model to Distinguish Post-capillary Pulmonary Hypertension
In this study the diagnostic accuracy of a diagnostic tool for the diagnosis of post-capillary pulmonary hypertension will be investigated.
- Conditions
- Pulmonary Hypertension, Pulmonary Arterial Hypertension, HFpEF - Heart Failure With Preserved Ejection Fraction
- Trial name
- Optiek 2-0 (NCT06405126)
- Testing
- Optiek predictive model
- Where
- 4 sites in Belgium
- Volunteers
- 100 people
- Sponsor
- KU Leuven
Knowledge, Satisfaction
Deep Learning Model Detecting Pressure Injury
In the health care system, pressure injuries, which are among the quality indicators, are a serious patient safety problem that affects the length of hospital stay and the cost of care.
- Trial name
- NCT06641258
- Testing
- Control Group (Standard Procedure), Experimental Group
- Where
- Turkey (Türkiye)
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- University of Beykent
Artificial Intelligence (AI), Clinical Reasoning
Teaching Doctors in Training to Reason With Artificial Intelligence
The purpose of the TEACH-AI study is to assess whether a brief, structured workshop on artificial intelligence can improve the performance of medicine doctors in training (i.e.
- Conditions
- Artificial Intelligence (AI), Clinical Reasoning, Clinical Decision-making, Medical Education
- Trial name
- TEACH-AI (NCT07813754)
- Testing
- Workshop-First
- Where
- 4 sites in United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Beth Israel Deaconess Medical Center
COPD
Impact of the Artificial Intelligence in a Telemonitoring Programme of COPD Patients With Multiple Hospitalizations
Given the current situation concerning healthcare, population demographics and economy, it seems required to look for new approaches in the health system. The use of new technologies must be the main factor for this change.
- Trial name
- NCT04978922
- Testing
- Machine Learning: ML (Artificial Intelligence System)
- Where
- Spain
- Volunteers
- 345 people
- Sponsor
- Dr. Cristobal Esteban
Bacteremia Sepsis
Machine Learning Assisted Electrochemical Profiling to Provide Early Identification of Bloodstream Infections Pathogens
In the context of a bacteremia, although significant progress has been made in speeding up pathogen identification once a blood culture bottle turns positive, few cost-effective solutions have been proposed to improve the earlier…
- Trial name
- E-MOC (NCT06853301)
- Testing
- Blood culture sampling
- Where
- 2 sites in France
- Volunteers
- 200 people
- Sponsor
- University Hospital, Grenoble
Subarachnoid Hemorrhage, Aneurysmal
Artificial Intelligence in Subarachnoid Hemorrhage
The overall aim of this study is to, with the help of computer/data scientist and machine learning processes, analyse collected heart rate variability data in order to evaluate whether specific patterns could be found in patients…
- Trial name
- AISAH (NCT04415736)
- Testing
- No intervention, observational study
- Where
- Sweden
- Volunteers
- 64 people
- Sponsor
- Göteborg University
Respiratory Therapy Techniques, Artificial Intelligence in Education
AI-Powered Virtual Human Simulation in Students
This study aims to investigate the effects of artificial intelligence-based virtual human simulation training on students' learning outcomes in critical care knowledge and clinical skills, as well as its effects on learning…
- Conditions
- Respiratory Therapy Techniques, Artificial Intelligence in Education, Clinical Education
- Trial name
- NCT07805499
- Testing
- AI-based virtual human simulation training
- Where
- Taiwan
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Fu Jen Catholic University
Crohn Disease
AI-enabled Endoscopic Prediction of Post-operative Recurrence in Crohn's Disease
This is a multicentre prospective international observational study. This study aims to introduce a novel multidimensional approach to precision imaging, enabling the identification and stratification of high-risk patients who…
- Trial name
- PROSPER (NCT06505304)
- Testing
- Colonoscopy, Intestinal biopsies, Confocal laser endomicroscopy
- Where
- 15 sites in Belgium, Canada and 4 more
- Volunteers
- 225 people
- Sponsor
- University College Cork
Lung Cancer, Artificial Intelligence
Pathological Classification of Pulmonary Nodules in Images Using Deep Learning
This study aimed to develop a deep-learning model to automatically classify pulmonary nodules based on white-light images and to evaluate the model performance.
- Trial name
- NCT05221814
- Testing
- gross pathologic photo based deep learning model
- Where
- 2 sites in China
- Volunteers
- 2,000 people
- Sponsor
- Jiangxi Provincial Cancer Hospital
Alzheimer Disease, Preclinical Alzheimer's Disease
Amyloid Prediction in Early Stage Alzheimer's Disease Through Speech Phenotyping - FUTURE Extension
The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech, can predict change in Preclinical Alzheimer's Clinical Composite with semantic processing (PACC5)…
- Conditions
- Alzheimer Disease, Preclinical Alzheimer's Disease, Prodromal Alzheimer's Disease, Alzheimer's Disease (Incl Subtypes)
- Trial name
- FUTURE-US (NCT04951284)
- Where
- United States
- Volunteers
- 42 people, healthy volunteers welcome
- Sponsor
- Novoic Limited
Glioma
Histopathology Images 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 images of HE slices in…
- Trial name
- NCT04217044
- Testing
- Histopathology images based prediction of molecular pathology
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- The First Affiliated Hospital of Zhengzhou University
Neovascular Age-Related Macular Degeneration
A Non-interventional Study to Assess the Influence of Automated Optical Coherence Tomography Image Enrichment With Segmentation Information on Disease Activity Assessment in Patients Treated With Licensed Anti- VEGF Injections
RAZORBILL was an observational, multicenter, multinational, open-label, study designed primarily to investigate the influence of automated OCT image enrichment with segmentation information on disease activity assessment in nAMD…
- Trial name
- RAZORBILL (NCT04662944)
- Testing
- brolucizumab, ranibizumab, aflibercept
- Where
- 17 sites in Canada, Germany and 3 more
- Volunteers
- 494 people
- Sponsor
- Novartis Pharmaceuticals