Clinical trials: Intelligence
Coronary Artery Disease
A Case-control Study to Assess the Association Between Facial Characteristics and Coronary Artery Diseases
The purpose of this study is to explore the facial characteristics associated with the increased risk of coronary artery diseases.
- Trial name
- NCT03214783
- Testing
- Facial characteristics
- Where
- China
- Volunteers
- 2,300 people, healthy volunteers welcome
- Sponsor
- China National Center for Cardiovascular Diseases
Out-Of-Hospital Cardiac Arrest
Machine Learning Assisted Recognition of Out-of-Hospital Cardiac Arrest During Emergency Calls.
Emergency medical Services Copenhagen has developed a machine learning model that analyzes the calls to 1-1-2 (9-1-1) in real time. The model are able to recognize calls where a cardiac arrest is suspected.
- Trial name
- NCT04219306
- Testing
- Alert on dispatchers screen 'Suspect cardiac arrest'
- Where
- Denmark
- Volunteers
- 5,242 people
- Sponsor
- Emergency Medical Services, Capital Region, Denmark
Uveitis
Development of AI Model for Uveitis Progression and Prognosis
Uveitis is a recurrent inflammation of the eye that can lead to vision loss with various and complicated etiologies. There are many difficulties in uveitis management due to the requirement of long-term monitoring and treatment.
- Trial name
- NCT04705103
- Volunteers
- 450 people
- Sponsor
- Sun Yat-sen University
Skin Condition, Dermatology
Application of the Belle.AI Dermatological Image Reference System for Patient Diagnosis in an Active Clinical Setting
The goal of this research study is to test a new, investigational tool that uses artificial intelligence (AI) to help primary care providers assess skin conditions.
- Conditions
- Skin Condition, Dermatology, Dermatology/Skin - Other
- Trial name
- NCT06724627
- Testing
- Dermatology/Skin - Other
- Where
- United States
- Volunteers
- 263 people
- Sponsor
- BelleTorus Corporation
BIS, BIS-EEG
Deep Learning Framework for Continuous Depth of Anesthesia Forecasting
The integration of Artificial Intelligence (AI) in anesthesiology offers the potential to shift patient monitoring from reactive to predictive.
- Conditions
- BIS, BIS-EEG, Artifical Intelligence, Intraoperative
- Trial name
- NCT07536230
- Where
- Belgium
- Volunteers
- 115 people, healthy volunteers welcome
- Sponsor
- Universitair Ziekenhuis Brussel
Health Behavior, Emotional Intelligence
An Exploratory Trial of a Health Education Programme Based on the Social and Emotional Competence in Children
The purpose of this study was to evaluate whether an intervention based on the social and emotional competence development improves the healthy lifestyles adoption in young children.
- Trial name
- CRECES (NCT02975544)
- Testing
- CRECES programme
- Volunteers
- 37 people, healthy volunteers welcome
- Sponsor
- Clinica Universidad de Navarra, Universidad de Navarra
Polyneuropathies
ChatGPT in the Diagnosis and Management of Complex Polyneuropathies: Comparative Analysis With Neurologists Using Real-World Cases
BACKGROUND AND PURPOSE Polyneuropathies are diseases affecting the peripheral nerves that occur in approximately 1% of the general population, rising to up to 13% among older adults.
- Trial name
- REASON (NCT07493681)
- Testing
- ChatGPT-4o, chatGPT
- Where
- Italy
- Volunteers
- 100 people
- Sponsor
- Istituto Clinico Humanitas
Brain Diseases
Multi-center Study of Artificial Intelligence Model for Gadolinium-based Contrast Agent Reduction in Brain MRI (MAGNET)
MAGNET is a multi-center and prospective study to minimize Gadolinium-based Contrast Agent (GBCA) combining novel artificial intelligence (AI) methods with pre-contrast images and/or low-dose images to synthesize virtual…
- Trial name
- MAGNET (NCT05754476)
- Testing
- Low-dose GBCA levels
- Where
- China
- Volunteers
- 3,000 people, healthy volunteers welcome
- Sponsor
- Beijing Tiantan Hospital
Asperger's Disorder, Asperger Disorder
QAIAx - SGI/SI Smart Health Cities: Microcity Enclave Program (Quantum SI/AGI Agency a/k/a AI City Hall Project - UPSTO App Nos. 64/074,526, 64/063,557, 64/105,164, 63/903,181, 63/729,428, 64/125,360; USPTO EO 9424 Assignment ID: 2101042 / ARN: REEL/FRAME: 76481/0026 - OUSD-R&E, Department of War)
BRIEF SUMMARY A. "What is the purpose of this study?" BACKGROUND. The QAIAx clinical trial (Quantum SI/SGI Public Health Agency), known operationally as the "AI City Hall Project," represents a landmark intergovernmental research…
- Conditions
- Asperger's Disorder, Asperger Disorder, Autism Disorder, Autism
- Trial name
- QAIAx (NCT07661823)
- Testing
- AI City Hall Project (AIhealth4u - Public Health Central), AI City Hall Project (QAIAx Microcity A - AI Public Health Central)
- Where
- United States
- Volunteers
- 1,000,000 people, healthy volunteers welcome
- Sponsor
- Veterans Recovery Network Inc.
Malignant Brain Tumors
Expert Consensus and Artificial Intelligence in Medical Decision Making in Patients with Malignant Brain Tumors
Nearly 23,000 adults are diagnosed with primary central nervous system (CNS) malignancy yearly. An additional 200,000 adults are diagnosed with brain metastasis. There are significant variations in CNS tumor treatment.
- Trial name
- EC-AIM Brain (NCT06649591)
- Testing
- Survey
- Where
- United States
- Volunteers
- 225 people
- Sponsor
- Tufts Medical Center
Breast Cancer
Multicentric Study for External Validation of a Deep Learning Model for Mammographic Breast Density Categorization
The correct categorization of breast density is essential to adapt the diagnostic examination to the needs of each patient. Assessment of breast density is performed visually by radiologists.
- Trial name
- NCT05021055
- Volunteers
- 277 people, healthy volunteers welcome
- Sponsor
- Hospital Italiano de Buenos Aires
Pregnancy, Pregnancy Complications
AI-POCUS for Maternal and Neonatal Health in Ethiopia
Maternal and neonatal health remains one of the most pressing global health challenges, particularly in low- and middle-income countries (LMICs).
- Conditions
- Pregnancy, Pregnancy Complications, Preterm Birth, Fetal Growth Restriction
- Trial name
- AIM-ETH (NCT07171086)
- Testing
- AI-POCUS (BabyChecker, Delft Imaging), AI-POCUS (Edan, China)
- Where
- Ethiopia
- Volunteers
- 1,059 people, healthy volunteers welcome
- Sponsor
- Tsinghua University
Pregnancy, Epidural Analgesia, Obstetric
Intelligence and Neurodevelopmental Outcome After Prenatal Exposure to Labour Epidural Analgesia: a Sibling Matched Clinical Ambidirectional Cohort Study
In Belgium, labour epidural analgesia (LEA) has been used for decades in the vast majority of vaginal deliveries (up to 83% of deliveries).
- Trial name
- NCT07014956
- Testing
- Labour epidural analgesia
- Where
- Belgium
- Volunteers
- 128 people, healthy volunteers welcome
- Sponsor
- Universitaire Ziekenhuizen KU Leuven
Education, Academic Performance
Impact of Generative AI on University Students' Learning Processes and Critical Thinking
This study is a randomized, controlled trial with a pre-test/post-test design, conducted to determine the effects of Generative AI (GenAI)-supported learning on academic achievement, learning efficiency, and critical thinking…
- Conditions
- Education, Academic Performance, Learning Efficiency, Generative Artificial Intelligence
- Trial name
- AI-Critical (NCT07762261)
- Testing
- Behavioral
- Volunteers
- 100 people
- Sponsor
- Ataturk University
Artificial Intelligence (AI), Prolonged Grief Symptoms
AI-GF-GNW on Prolonged Grief Reactions
Prolonged Grief Disorder (PGD) is a severe, disabling condition characterized by intense yearning and difficulty accepting the reality of loss, which significantly impairs the academic and psychosocial functioning of bereaved…
- Conditions
- Artificial Intelligence (AI), Prolonged Grief Symptoms, Depression - Major Depressive Disorder, Anxiety
- Trial name
- NCT07589088
- Testing
- AI-Assisted Grief-Focused Guided Narrative Writing, No-Feedback Guided Narrative Writing, Free Writing
- Where
- China
- Volunteers
- 126 people, healthy volunteers welcome
- Sponsor
- Peking University
Motor Disorders
A Preliminary Study on Artificial Intelligence for Infant Motor Screening
The purpose of this preliminary study is to apply AI technology on a sample of infants aged 4 to 18 months to develop an action tracking and recognition algorithm for infant motor screening and to determine the accuracy of the…
- Trial name
- NCT04684173
- Where
- Taiwan
- Volunteers
- 47 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
Pulmonary Diseases, Ophthalmological Diagnostic Techniques
Assisting Pulmonary Disease Diagnosis With Ophthalmic Artificial Intelligence Technology
This study intends to collect ophthalmologic examination results, pulmonary examination results and related indexes from patients with pulmonary disease and control populations, and combine big data analysis and artificial…
- Conditions
- Pulmonary Diseases, Ophthalmological Diagnostic Techniques, Artificial Intelligence
- Trial name
- NCT05847894
- Testing
- Ophthalmic examination, Pulmonary Examination
- Where
- 4 sites in China
- Volunteers
- 10,000 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Orthodontic Treatment Planning, Congenitally Missing Maxillary Lateral Incisors
AI-Guided Treatment Planning in Orthodontic Patients With Missing Upper Lateral Incisors
This pilot study aims to evaluate the diagnostic accuracy of artificial intelligence (AI) in orthodontic treatment planning for patients with congenitally missing upper lateral incisors.
- Trial name
- SMILE-AI (NCT07133867)
- Where
- Egypt
- Volunteers
- 110 people, healthy volunteers welcome
- Sponsor
- Cairo University
Hemoglobin; Deficiency
Hemoglobin Easy Measurement With Optical Artificial Intelligence
Blood hemoglobin levels are an extremely important measure for a large swath of medical procedures as they reflect the oxygen-carrying capacity of human blood.
- Trial name
- HEMO-AI (NCT04573244)
- Where
- Israel
- Volunteers
- 823 people, healthy volunteers welcome
- Sponsor
- MYOR Ltd.
Cancer, Carcinoma, Artificial Intelligence (AI)
Health Outcomes of Nasopharyngeal Carcinoma Patients Three Years After Treatment by the AI-assisted Home Enteral Nutrition Management
You have completed the current stage of cancer treatment, after which you need to check regularly and pay attention to nutrition. So we started this study to see if AI could help with nutrition management.
- Conditions
- Cancer, Carcinoma, Artificial Intelligence (AI), Nutrition
- Trial name
- NCT06603909
- Testing
- group 1: Use AI to assist nutrition management, group 2：Traditional nutrition management（through the hospital dietitian）
- Where
- China
- Volunteers
- 500 people
- Sponsor
- Changsha Medical University