Clinical trials: Intelligence
Out-Of-Hospital Cardiac Arrest, Trauma
AI to Improve Data From Danish Cardiac Arrest Registry
Out-of-hospital cardiac arrest is a leading cause of death worldwide and patient outcome vary substantially throughout regions suggesting further evaluation and potential for improvement.When focussing on subgroups of OHCA, data…
- Conditions
- Out-Of-Hospital Cardiac Arrest, Trauma, Drug Overdose, Electrocution
- Trial name
- NCT05308303
- Where
- Denmark
- Volunteers
- 31,200 people
- Sponsor
- Prehospital Center, Region Zealand
IVF, Infertility
eValuating iDA Selection Ability. The VISA Study.
A non-inferiority, prospective parallel group, multi-center, randomized controlled trial to investigate whether selection of a single blastocyst for transfer using the deep learning tool, iDA, results in non-inferior clinical…
- Trial name
- NCT04969822
- Testing
- iDAScore®
- Where
- 14 sites in Australia, Denmark and 2 more
- Volunteers
- 1,066 people
- Sponsor
- Vitrolife
Predictive Value of Tests, Vital Signs
Remote Patient Monitoring and Detection of Possible Diseases With Artificial Intelligence Telemedicine System
Remote patient monitoring and detection of possible diseases with Artificial Intelligence Telemedicine System
- Conditions
- Predictive Value of Tests, Vital Signs, Laboratory Critical Values, Relative Value Scales
- Trial name
- AI - diseases (NCT05241483)
- Testing
- mesure valition
- Where
- Turkey (Türkiye)
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Setint AI Robotic Sistem Egitim ve Danısmanlık San. Tic. A.S.
ACL - Anterior Cruciate Ligament Deficiency
AI-Based Video Assessment of Anterior Knee Laxity
This prospective observational validation study aims to evaluate the accuracy and reliability of artificial intelligence-based video analysis for quantifying anterior knee laxity.
- Trial name
- AI-LAX (NCT07833605)
- Where
- Italy
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- ASL Lecce
Environmental Awareness, Ecological Footprint
Effect of AI-Based Image Generation on Children's Ecological Footprint Awareness
The aim of this study is to examine the effect of artificial intelligence-based image generation on children's ecological footprint awareness.
- Conditions
- Environmental Awareness, Ecological Footprint, Healthy Children
- Trial name
- NCT07898527
- Testing
- AI-Based Image Generation Activity
- Where
- Turkey (Türkiye)
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Balikesir University
Artificial Intelligence Supported Image Reviewing
Artificial Intelligence-supported Reading Versus Standard Double Reading for the Interpretation of Magnetic Resonance Imaging in the Detection of Local Recurrence for Nasopharyngeal Carcinoma: a Randomised Controlled Multicenter Study
The aim of this randomized controlled study is to investigate whether the previously developed artificial intelligence model can triage post-radiotherapy magnetic resonance images of patients with nasopharyngeal carcinoma and…
- Trial name
- NCT06356441
- Testing
- AI
- Where
- China
- Volunteers
- 10,400 people
- Sponsor
- Sun Yat-sen University
Cataract, Artificial Intelligence
Validation of a Universal Cataract Intelligence Platform
This study established and validated a universal artificial intelligence (AI) platform for collaborative management of cataracts involving multi-level clinical scenarios and explored an AI-based medical referral pattern to…
- Trial name
- NCT03623971
- Testing
- Cataract AI agent
- Volunteers
- 500 people
- Sponsor
- Sun Yat-sen University
Nursing Students
The Effect Of Chatgpt Use By Final Year Nursing Students in The Nursing Processes On Their Understanding Of Nursing Diagnoses And Critical Thinking Skills
Artificial intelligence is a rapidly developing technology in today's digital age and has had transformative effects in many areas, from education to healthcare.
- Trial name
- Chatgpt Use (NCT07908511)
- Testing
- chatgpt training
- Where
- Turkey (Türkiye)
- Volunteers
- 49 people
- Sponsor
- Gazi University
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
an Intelligent Teaching Agent for the "Epidemiology" Course of the MBBS Program, Students' Critical Thinking, Practical Ability and Learning Outcomes
Research and Application of an AI Agent-Based MBBS Course Assistant
Prior to the quasi-experiment, this study performed semi-structured interviews among Bachelor of Medicine and Bachelor of Surgery(MBBS) undergraduate students from the Belt and Road International Medical College, Zhejiang…
- Trial name
- NCT07752160
- Testing
- Socratic Agent for Guided Epidemiology, General LLM
- Where
- China
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- The Fourth Affiliated Hospital of Zhejiang University School of Medicine
Cancer, Neoadjuvant Therapy
Development and Validation of a Multimodal Fusion Artificial Intelligence Model for Predicting the Efficacy of Neoadjuvant Treatment of Bladder Cancer
This study is a multi-center observational study without interventions, including the construction of an AI predictive model, with retrospective and prospective testing.
- Trial name
- NCT06909643
- Testing
- Artificial intelligence (AI)-based predictive model
- Where
- China
- Volunteers
- 469 people
- Sponsor
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Allergic Reaction
Analysis of Adverse Events in Anesthesia Using Artificial Intelligence
The interest of health databases in anesthesia is no longer to be demonstrated. The aim of this research was to develop a natural language processing approach to establish a classification of adverse events observed during the…
- Trial name
- ADVENTURE (NCT05185479)
- Where
- France
- Volunteers
- 9,559 people
- Sponsor
- University Hospital, Strasbourg, France
Ureteral Stent-Related Symptom
Detection of Ureteral Stent Encrustation
Ureteral stents are the most commonly used postoperative implantable materials in urology. The indwelling ureteral stents often lead to the formation of encrustation, with an incidence of 10%, which will lead to complications…
- Trial name
- NCT05495659
- Volunteers
- 156 people
- Sponsor
- Fifth Affiliated Hospital, Sun Yat-Sen University
ARTIFICIAL INTELLIGENCE (AI) APPLICATIONS IN REPRODUCTIVE MEDICINE
ARTIFICIAL INTELLIGENCE IN REPRODUCTIVE MEDICINE
Many studies have been published investigating the use of AI as an unbiased, automated approach to embryo assessment. This review will summarize the recent AI advancements in the IVF field.
- Trial name
- AI in ART (NCT05699850)
- Testing
- ARTIFICIAL INTELLIGENCE (AI)
- Where
- 2 sites in Egypt
- Volunteers
- 10 people, healthy volunteers welcome
- Sponsor
- Al Baraka Fertility Hospital
Androgenetic Alopecia
Harnessing Artificial Intelligence for Diagnosing Androgenetic Alopecia: A Training and Validation Study
The aim of this study is to develop and validate deep learning models in diagnosis of male and female pattern hair loss, and assessment of its severity based on clinical and trichoscopic image by handheld dermoscopy and…
- Trial name
- NCT07294313
- Where
- Egypt
- Volunteers
- 400 people, healthy volunteers welcome
- Sponsor
- Cairo University
Fetus Disorder
AutoFUSE or First-Trimester Ultrasound Scan
The goal of this clinical trial is to validate the clinical application capabilities of AutoFUSE. The main questions it aims to answer are: Does AutoFUSE reduce the time required to obtain standard planes in first-trimester…
- Trial name
- NCT07601191
- Testing
- AutoFUSE system, Traditional ultrasound scan
- Where
- 3 sites in China
- Volunteers
- 1,000 people, healthy volunteers welcome
- Sponsor
- Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Gallbladder Cancer
Artificial Intelligence-based Tumor Microenvironment Analysis for Prognosis Prediction in Gallbladder Cancer
This retrospective study aims to investigate the prognostic significance of artificial intelligence (AI)-powered analysis of tumor-infiltrating lymphocytes (TILs) and the tumor microenvironment (TME) in patients with resected…
- Trial name
- NCT07092397
- Where
- South Korea
- Volunteers
- 266 people
- Sponsor
- Samsung Medical Center
Acute Promyelocytic Leukemia (APL), Acute Myeloid Leukaemia (AML)
AI-Assisted Acute Myeloid Leukemia Evaluation With the Leukemia End-to-End Analysis Platform (LEAP) Versus Clinician-Only Assessment
This study will test whether artificial intelligence (AI) can help doctors diagnose a rare blood cancer called acute promyelocytic leukemia (APL) more quickly and accurately.
- Trial name
- LEAP (NCT07203885)
- Testing
- Unaided Review First, Then AI-Assisted Review, AI-Assisted Review First, Then Unaided Review
- Where
- United States
- Volunteers
- 10 people
- Sponsor
- Harvard Medical School (HMS and HSDM)
Self-harm, Suicide
Artificial Intelligence Self Harm Application
This is a mixed-methods study. The quantitative component will comprise of a multicentre rater-blind, randomized controlled trial to evaluate the feasibility and acceptability of AISHA in addition to treatment as usual (TAU)…
- Trial name
- AISHA (NCT06019663)
- Testing
- The Artificial Intelligence intervention for Self-Harm prevention Application (AISHA) is a mobile intervention based on Y-CMAP
- Where
- 2 sites in Pakistan
- Volunteers
- 312 people
- Sponsor
- Pakistan Institute of Living and Learning
Neurodevelopmental Disorders, Attention Deficit Hyperactivity Disorder
Validity of Neurocognitive Assessment Methods in Childhood ADHD
The aim of the study is to examine the prospective validity of neurocognitive functions and emotional factors in schoolchildren with ADHD and a control group of typically developing schoolchildren at baseline and after three…
- Trial name
- NCT04201509
- Where
- Sweden
- Volunteers
- 196 people, healthy volunteers welcome
- Sponsor
- Region Skane