Clinical trials: Artificial Intelligence (AI)
Diagnostic Imaging, Eye Tracking
AI Timing in Chest X-ray Interpretation Using Eye-Tracking
Chest X-rays are commonly used to help diagnose and manage chest conditions. Artificial intelligence (AI) tools are increasingly being used to support chest X-ray interpretation.
- Conditions
- Diagnostic Imaging, Eye Tracking, Artificial Intelligence (AI)
- Trial name
- CREAITED (NCT07675694)
- Testing
- Original CXR First Timing, AI Output First Timing
- Where
- United Kingdom
- Volunteers
- 24 people, healthy volunteers welcome
- Sponsor
- University Hospitals, Leicester
Clinical Decision Support Systems, Diagnostic Reasoning
Effects of Agent-assisted, LLM-assisted and Traditional Workflows on Diagnosis and Management Planning at Admission
The goal of this clinical trial is to evaluate whether AI-assisted workflows improve physicians' admission diagnosis and management planning performance on standardized simulated inpatient cases, among practicing internal…
- Conditions
- Clinical Decision Support Systems, Diagnostic Reasoning, Artificial Intelligence (AI)
- Trial name
- NCT07760051
- Testing
- Agent-assisted workflow, LLM-assisted workflow, Traditional Workflow
- Where
- China
- Volunteers
- 180 people, healthy volunteers welcome
- Sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
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
Spinal Cord Compression
Validation of AI Lumbar Spine Anatomy Measureing Function
Spinal degeneration and its associated clinical diseases are common ailments in aging societies. With the advent of a super-aging society, the importance of assistive technologies for spinal image interpretation is increasingly…
- Trial name
- Spinal cord (NCT06950411)
- Where
- Taiwan
- Volunteers
- 150 people, healthy volunteers welcome
- Sponsor
- RadiRad Co., Ltd.
Orientation, Clinical
AI-Based Clinical Orientation for Nursing Students
Aim: This experimental study aims to investigate the impact of an Artificial Intelligence (AI)-based orientation program on the clinical orientation process of nursing students during their pediatric nursing clinical…
- Trial name
- ClinicOrient (NCT07564544)
- Testing
- Artificial Intelligence-Based Clinical Orientation Program
- Where
- 2 sites in Turkey (Türkiye)
- Volunteers
- 90 people, healthy volunteers welcome
- Sponsor
- Selcuk University
Artificial Intelligence (AI)
Evaluation of AI-Generated Clinical Advice by Physicians
This study examines how artificial intelligence systems interact with medical professionals. Researchers will compare physician responses to different AI-generated outputs in simulative medical scenarios.
- Trial name
- NCT06980467
- Testing
- Large Language Model
- Where
- 2 sites in China
- Volunteers
- 8 people, healthy volunteers welcome
- Sponsor
- Tsinghua University
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
Procedural Pain Relief, Virtual Reality
AI-Generated Video Distraction Via Virtual Reality for Fear and Pain During Pediatric Circumcision
This randomized controlled trial evaluated the effect of artificial intelligence-generated video distraction delivered via virtual reality on procedural fear and pain in children undergoing circumcision.
- Conditions
- Procedural Pain Relief, Virtual Reality, Fear, Child
- Trial name
- NCT07824427
- Testing
- AI-Generated Video Distraction via Virtual Reality
- Where
- Turkey (Türkiye)
- Volunteers
- 80 people, healthy volunteers welcome
- Sponsor
- Yuzuncu Yil University
AI (Artificial Intelligence), Case-based Learning
Artificial Intelligence Assisted Teaching of Structured Nursing Care According to ERAS Protocol
This study evaluates an AI-supported case-based educational approach for teaching nursing care of gynecologic oncology patients according to the Enhanced Recovery After Surgery (ERAS) protocol.
- Conditions
- AI (Artificial Intelligence), Case-based Learning, Nursing Students, ERAS
- Trial name
- NCT07183202
- Testing
- Case-based learning (CBL), case-based education
- Where
- Turkey (Türkiye)
- Volunteers
- 76 people, healthy volunteers welcome
- Sponsor
- Sakarya University
Rare Disorders, Rare Diseases
Artificial Intelligence for General and Rare Disease Diagnosis
A multicentre, randomised diagnostic accuracy study to evaluate whether the GENESIS AI diagnostic support system can improve diagnostic accuracy and efficiency for physicians managing real-world clinical general and rare cases.
- Conditions
- Rare Disorders, Rare Diseases, Generalist AI
- Trial name
- NCT07625436
- Testing
- AI-Assisted Diagnosis
- Where
- 11 sites in China
- Volunteers
- 243 people, healthy volunteers welcome
- Sponsor
- Peking Union Medical College Hospital
Mental Health Care, Mental Disorders
Using Responsible Artificial Intelligence (AI) to Predict Online Therapy Outcome and Engagement
This study is to develop AI-based models for the personalised prediction of treatment engagement and treatment outcomes in patients engaging in digital psychotherapy.
- Trial name
- NCT05758285
- Testing
- AI-Based Prediction of Treatment Engagement and Outcomes
- Where
- Switzerland
- Volunteers
- 6,671 people, healthy volunteers welcome
- Sponsor
- University Hospital, Basel, Switzerland
Hearing Disorders and Deafness
Cognitive Processing of Natural Sequences in Humans and Artificial Intelligence (AI)
The goal of this study is to identify electrical patterns in the cortex that enable the generation of predictions in natural auditory sequences such as speech and music.
- Trial name
- SEQUOIA (NCT07740070)
- Volunteers
- 700 people, healthy volunteers welcome
- Sponsor
- Institut Pasteur
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
Covid19
Detection of SARS-CoV-2 in Nasopharyngeal Swabs by Using Multi-Spectral Screening System
The aim of this research is to use the Multi-Spectral method to measure the biomolecular fingerprint of the virus directly instead of the virus's RNA (RT-PCR) or the body's immune response (antibody) measurement methods to…
- Trial name
- NCT04860895
- Testing
- AP-23
- Where
- Turkey (Türkiye)
- Volunteers
- 4,400 people, healthy volunteers welcome
- Sponsor
- Fable Biyoteknoloji San ve Tic A.S
Global Climate Change Awareness Scale, Climate Change Concern Scale
The Effect of AI-Supported Climate Change Education on Adolescents' Levels of Awareness and Concern
This study was conducted to assess the impact of AI-supported climate change education on adolescents' awareness of global climate change and their levels of concern about climate change.
- Trial name
- NCT07881419
- Testing
- AI-Supported Climate Change Education Using Virtual Reality
- Where
- Turkey (Türkiye)
- Volunteers
- 120 people, healthy volunteers welcome
- Sponsor
- Yuzuncu Yil University
Body Dysmorphic Disorder
AI Screening for BDD in Aesthetic Surgery: Enhancing Safety and Outcomes
The goal of this observational study is to evaluate the effectiveness of an AI-powered screening tool for Body Dysmorphic Disorder (BDD) among patients seeking aesthetic surgery.
- Trial name
- AI (NCT06584305)
- Testing
- AI-Powered Body Dysmorphic Disorder Screening Procedure
- Where
- Argentina
- Volunteers
- 3,722 people, healthy volunteers welcome
- Sponsor
- Bukret Plastic Surgery
Painless Abortion, Artificial Intelligence (AI)
Reinforcement Learned Automated Anesthesia Systems During Painless Abortion
This study compares the automated anesthesia systems for painless abortion (AAS-PA) with traditional anesthesia in painless abortions.
- Conditions
- Painless Abortion, Artificial Intelligence (AI), Ciprofol
- Trial name
- AAS-PA (NCT07132151)
- Testing
- AI Controlled General Anesthesia, General Anesthesia
- Where
- 8 sites in China
- Volunteers
- 167 people, healthy volunteers welcome
- Sponsor
- Boston Intelligent Medical Research Center, Shenzhen United Scheme Technology Co., Ltd.
Nursing Students, Artificial Intelligence (AI)
AI-Supported Case Analysis Among Nursing Students
The aim of this study is to determine the effect of AI-supported internal medicine nursing case analysis on students' case management performance, learning outcomes, learning experience, clinical self-efficacy, and cognitive load…
- Trial name
- NCT07614503
- Testing
- Case Analysis, AI-supported case
- Where
- Turkey (Türkiye)
- Volunteers
- 42 people, healthy volunteers welcome
- Sponsor
- TC Erciyes University
Bronchiolitis, Bronchitis
Effect of AI-Assisted Discharge Education on Parents of Children With Bronchitis/Bronchiolitis
This randomized controlled trial aims to evaluate the effects of artificial intelligence-assisted discharge education on mothers of children hospitalized with bronchitis/bronchiolitis.
- Trial name
- NCT07774494
- Testing
- AI-Assisted Written Discharge Education, AI-Assisted Video Discharge Education, Routine Discharge Education
- Where
- Turkey (Türkiye)
- Volunteers
- 144 people, healthy volunteers welcome
- Sponsor
- Osmaniye Korkut Ata University
Fertility Disorders
Data Collection and Professional Simulated Use Study to Develop an Embryo Quality Artificial Intelligence (AI) Model
This protocol supports the reliable development and improvement of Artificial Intelligence (AI)-based applications by enabling training, verification, and validation using high-quality real clinical data.
- Trial name
- NCT07017972
- Testing
- AI evaluation of embryos
- Where
- United States
- Volunteers
- 4,000 people, healthy volunteers welcome
- Sponsor
- Fairtility