Clinical trials: Intelligence
Achalasia Cardia, Tumor
Artificial Intelligence-Guided Detection of Blood Vessels to Enhance Safety in Third-Space Endoscopic Procedures
This prospective study aims to evaluate the performance of a novel Artificial Intelligence (AI) clinical decision support tool during third space endoscopic procedures, such as Endoscopic Submucosal Dissection (ESD) and Peroral…
- Trial name
- NCT07399652
- Testing
- AI generated segmentation mask for sub-mucosal blood vessels
- Where
- India
- Volunteers
- 40 people
- Sponsor
- Asian Institute of Gastroenterology, India
Paediatric Asthma
Design, Development and Evaluation of a Digital Health Assistant for Paediatric Asthma
This study is to evaluate the efficacy of the digital health assistant (DHA) "Alex" in improving asthma control in asthmatic children and adolescents aged 10 to 19 compared to their baseline values.
- Trial name
- ALEX (NCT07472283)
- Testing
- Phase I (months 1-3): DHA core functionality, Phase II (months 3-6): platform augmentation, Embedded qualitative study
- Where
- 5 sites in Romania
- Volunteers
- 42 people
- Sponsor
- University Children's Hospital Basel
Developmental Dysplasia of the Hip
AI-assisted Preoperative Planning Technology for THA for DDH
In this study, the investigators retrospectively collected DDH case data of THA assisted by AI 3D planning and THA assisted by traditional planning.
- Trial name
- NCT05929105
- Testing
- artificial intelligence (AI)-assisted three-dimensional preoperative planning technology, X-ray film template for 2D planning
- Where
- China
- Volunteers
- 61 people
- Sponsor
- General Hospital of Ningxia Medical University
Fetal Growth Abnormalities, Fetal Weight
Impact of AI Feedback on Ultrasound Biometry Accuracy Across the Expertise Levels
Objective: To evaluate the impact of real-time AI feedback on fetal biometry accuracy and investigate the Expertise Reversal Effect-whether AI benefits diminish as user experience increases.
- Trial name
- NCT07476638
- Testing
- AI interventional group
- Where
- 3 sites in Denmark
- Volunteers
- 75 people, healthy volunteers welcome
- Sponsor
- Copenhagen Academy for Medical Education and Simulation
Optic Neuropathy, Optic Neuropathy, Ischemic
Building Research With Artificial Intelligence in Neuro-Ophthalmology
The research team, recognized as a world leader in Artificial Intelligence for neuro-ophthalmology, has shown that it is possible to diagnose certain neuro-ophthalmologic or neurologic disorders from a single retinal fundus image…
- Conditions
- Optic Neuropathy, Optic Neuropathy, Ischemic, Optic Neuritis, Optic Nerve Diseases
- Trial name
- BRAIN (NCT06390579)
- Testing
- Deep learning algorithm applied on retrospectively collected color fundus photographs
- Where
- France
- Volunteers
- 693 people
- Sponsor
- Fondation Ophtalmologique Adolphe de Rothschild
Creativity
The Creative Team Member: A Study of the Influence of AI Integration Timing on Brainstorming and Ideation
This study aims to examine how the timing of artificial intelligence (AI) integration during group brainstorming activities affects the creativity and ideation of participants.
- Trial name
- NCT07693803
- Testing
- Artificial Intelligence First (Early Integration), Artificial Intelligence Last (Late Integration)
- Where
- Canada
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- McMaster University
Breast Cancer
Artificial Intelligence in Mammography-Based Breast Cancer Screening
Breast cancer (BC) is the most common cancer among women in worldwide and the second leading cause of cancer-related death. As the corner stone of BC screening, mammography is recognized as one of useful imaging modalities to…
- Trial name
- NCT04156880
- Testing
- mammography
- Where
- Hong Kong
- Volunteers
- healthy volunteers welcome
- Sponsor
- Chinese University of Hong Kong
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
Airway Disease, Cancer of Head and Neck
Artificial Intelligence-based Voice Assessment of Children and Adults Respiratory Conditions
Acute and Chronic respiratory conditions represent a leading cause of death and morbidity in children and adults worldwide. The diagnosis of bronchiolitis and asthmatic exacerbations is based on clinical, and mostly subjective…
- Conditions
- Airway Disease, Cancer of Head and Neck, Radiotherapy, Bronchiolitis
- Trial name
- AIRWAY-VDAP (NCT06630078)
- Testing
- Wevosys acoustic analysis
- Where
- 2 sites in Italy
- Volunteers
- 200 people
- Sponsor
- Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Radiomics, Deep Learning
Retrospective Analysis of the Correlation Between Imaging Features and Pathology, Prognosis in Renal Tumors
Renal cell carcinoma (RCC) is the most common malignant tumor in the kidney with a high mortality rate. Traditional imaging techniques are limited in capturing the internal heterogeneity of the tumor.
- Conditions
- Radiomics, Deep Learning, Artificial Intelligence, Body Composition
- Trial name
- NCT06167863
- Testing
- radiomics
- Where
- China
- Volunteers
- 1,000 people
- Sponsor
- Zhen Li
Parent-Child Relations, Dental Fear
Parental Presence and Preschoolers' Behavior
Purpose: This study aimed to assess the effect of parental active/passive presence technique (PAP/PPP) on the overall behavior of preschool children with different intelligence and fear levels.
- Trial name
- NCT04580316
- Testing
- Parental active presence, Parent passive presence
- Where
- Egypt
- Volunteers
- 150 people
- Sponsor
- Alexandria University
Artificial Intelligence, Retinal Diseases
Real-world of AI in Diagnosing Retinal Diseases
The objective of this study is to apply an artificial intelligence algorithm to diagnose multi-retinal diseases in real-world settings.
- Trial name
- NCT05981950
- Testing
- artificial intelligence algorithm
- Where
- China
- Volunteers
- 100,000 people
- Sponsor
- Beijing Tongren Hospital
Superior Labrum From Anterior to Posterior Injuries
SLAP Injury of the Shoulder Joint: Application Value of Deep Learning in Diagnosis
This study intends to study the shoulder SLAP injury through deep learning technology and establish a deep learning model through the combination of axial and oblique coronal images to establish a deep learning method that can…
- Trial name
- NCT04953026
- Testing
- Diagnositic test
- Where
- China
- Volunteers
- 800 people
- Sponsor
- Peking University Third Hospital
Melanoma, Skin Cancer
Artificial Intelligence Augmented Training in Skin Cancer Diagnostics for General Practitioners
Background: The worldwide incidence of skin cancer has been rising for 50 years, in particular the incidence of malignant melanoma has increased approx. 2-7% annually and is the most common cancer amongst Danes aged 15-34.
- Trial name
- AISC-GP (NCT04576416)
- Testing
- AI augmented training and clinical feedback
- Where
- Denmark
- Volunteers
- 115 people, healthy volunteers welcome
- Sponsor
- Herlev Hospital
Avoidant Restrictive Food Intake Disorder
Scalable, Clinician-Supervised Generative-AI Food-Chaining Assistant for Pediatric ARFID
Children with Avoidant/Restrictive Food Intake Disorder (ARFID) often lack access to specialty dietitians, and scalable nutritional guidance/food chaining tools are currently not available.
- Trial name
- NCT07006961
- Testing
- Generative AI-based food chaining device
- Volunteers
- 125 people
- Sponsor
- Boston Children's Hospital
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
Primary Care, Artificial Intelligence (AI)
Improving the Accuracy of Artificial Intelligence Triage in Primary Care
WHY ARE WE DOING THIS? When patients contact their GP practice, the first step is to work out what kind of help they need and how quickly it's needed. This is called 'triage' and is important for patient safety.
- Trial name
- NCT07237919
- Testing
- AI triage, No AI triage
- Where
- United Kingdom
- Volunteers
- 226,821 people, healthy volunteers welcome
- Sponsor
- University of Manchester
Liver Metastases of Colorectal Cancer
Artificial Intelligence Diagnosis of Different Histopathological Growth Patterns of Colorectal Cancer Liver Metastasis
This study selected cases of colorectal cancer liver metastasis patients who underwent liver metastasis tumor resection, retrieved the pathological HE sections of the metastatic lesions, and constructed a predictive model.
- Trial name
- NCT07088393
- Where
- China
- Volunteers
- 437 people
- Sponsor
- Sun Yat-sen University
Retinal Diseases, Artificial Intelligence
Artificial Intelligence System for Assessing Image Quality of Fundus Images and Its Effects on Diagnosis
Fundus images are widely used in ophthalmology for the detection of diabetic retinopathy, glaucoma and other diseases. In real-world practice, the quality of fundus images can be unacceptable, which can undermine diagnostic…
- Trial name
- NCT04289064
- Testing
- Taking a fundus image
- Where
- China
- Volunteers
- 300 people, healthy volunteers welcome
- Sponsor
- Sun Yat-sen University
AI Chatbot, Nursing Education
The Effect of Artificial Intelligence-Supported Intramuscular and Subcutaneous Injection Training on Nursing Students
The complexity of healthcare services and technological advances today have necessitated the adoption of innovative approaches in nursing education.
- Conditions
- AI Chatbot, Nursing Education, AI (Artificial Intelligence), Nursing Skills
- Trial name
- NCT07253571
- Testing
- Training of IM and SC injection skills via Chatbot
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Akdeniz University