Clinical trials: Artificial Intelligence (AI)
Nursing Education, Simulation-Based Learning
Effects of Concept Mapping and AI Dialogue on Flow and Learning Outcomes in Simulation-Based Learning
This mixed-methods educational study evaluates the integration of concept mapping and artificial intelligence (AI)-supported dialogue into simulation-based learning for nursing students.
- Trial name
- NCT07748897
- Testing
- ChatGPT-Assisted Preparation for Pediatric Nursing Simulation, Standard Preparation for Pediatric Nursing Simulation
- Where
- Taiwan
- Volunteers
- 168 people, healthy volunteers welcome
- Sponsor
- Chang Gung University of Science and Technology
Locally Advanced Rectal Cancer (LARC)
AI-Based Prediction of Pathological Response in Rectal Cancer Patients Receiving Total Neoadjuvant Therapy
This study aims to better understand how body composition, inflammation, and nutrition affect how rectal cancer responds to treatment.
- Trial name
- CINR-AI (NCT07049627)
- Testing
- Total Neoadjuvant Therapy (TNT)
- Where
- 2 sites in Turkey (Türkiye)
- Volunteers
- 93 people
- Sponsor
- Ankara Etlik City Hospital
Parkinson Disease, Occupational Therapy Students
Effect of AI Chatbot-Assisted Versus Traditional Case-Based Learning on Clinical Reasoning in Occupational Therapy Students: A Study on Parkinson's Disease
This study aims to examine whether using an artificial intelligence (AI) chatbot can enhance occupational therapy students' learning during a case-based activity focused on Parkinson's disease.
- Conditions
- Parkinson Disease, Occupational Therapy Students, Clinical Reasoning, Neurologic Rehabilitation
- Trial name
- AI-PD-OT25 (NCT07045077)
- Testing
- AI Chatbot-Assisted Case-Based Learning, Traditional Case-Based Learning with Standard Materials
- Where
- Turkey (Türkiye)
- Volunteers
- 25 people, healthy volunteers welcome
- Sponsor
- Ceyhun Türkmen
Type 1 Diabetes Mellitus
Feasibility and Effectiveness of an AI-Powered Carbohydrate Counting Educational Platform to Support Parents of Children With Type 1 Diabetes
The goal of this clinical trial is to learn whether an AI-powered carbohydrate counting educational platform can help parents of children with type 1 diabetes improve their carbohydrate counting skills and diabetes management.
- Trial name
- CARB-AI (NCT07671053)
- Testing
- AI-Powered Carbohydrate Counting Educational Platform
- Where
- 3 sites in Oman, United Arab Emirates
- Volunteers
- 80 people
- Sponsor
- Sultan Qaboos University
Rheumatoid Arthritis (RA, Chronic Pain
Integrative AI-Based Multiomic and Neurophysiological Profiling of Chronic Pain in Rheumatoid Arthritis
Rheumatoid arthritis (RA) is a chronic, systemic autoimmune disease in which pain remains the most prominent and burdensome symptom from the patient's perspective.
- Trial name
- RA-PAIN-AI (NCT07769619)
- Where
- Poland
- Volunteers
- 100 people
- Sponsor
- 4th Military Clinical Hospital with Polyclinic, Poland
Feasibility Studies, Physical Activity
AI-Based Personalized Exercise Prescription Through Mobile Health on Physical Activity and Health Outcomes in Older Adults: A Feasibility Study
The purpose of this research is to investigate the feasibility, acceptability, appropriateness, and preliminary efficacy of a wearable and artificial intelligence-driven mobile application-based exercise prescription grounded in…
- Conditions
- Feasibility Studies, Physical Activity, Mental Health (Depression), Anxiety
- Trial name
- NCT07768670
- Testing
- Fitness app powered by AI and wearable device
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- The University of Tennessee, Knoxville
Pulmonary Nodules, Lung Neoplasms
A Multicenter Cohort Study of AI-Based Methods for Pulmonary Nodule Diagnosis and Follow-up
This is an observational, multicentre study. The primary objective of this study was to evaluate the diagnostic performance and clinical applicability of artificial intelligence models for pulmonary nodule segmentation…
- Conditions
- Pulmonary Nodules, Lung Neoplasms, Artificial Intelligence (AI)
- Trial name
- NCT07815483
- Volunteers
- 16,880 people
- Sponsor
- Shanghai East Hospital
Ultrasound Scan
Ultrasound Image Collection for the Development of an AI Software
This study is designed to collect ultrasound images from healthy volunteers in the U.S.
- Trial name
- NCT06920277
- Testing
- Ultrasound scans
- Where
- United States
- Volunteers
- 46 people, healthy volunteers welcome
- Sponsor
- Smart Alfa Teknoloji San. ve Tic. A.S.
Breast Cancer, Anxiety
The Impact of AI- Supported Education in Mastectomy Patient
This study aims to evaluate the impact of artificial intelligence (AI)-supported preoperative education on fear and anxiety levels in patients undergoing total mastectomy.
- Conditions
- Breast Cancer, Anxiety, Mastectomy, Patient Education as Topic
- Trial name
- AI-ME (NCT06796166)
- Testing
- AI-Supported Preoperative Education, Standard Preoperative Education
- Where
- Turkey (Türkiye)
- Volunteers
- 40 people
- Sponsor
- Bezmialem Vakif University
Prostate Cancer
Leveraging EA8191 to Assess AI-Augmented EHR Abstraction
The goal of this prospective study is to assess the performance of AI (artificial intelligence) augmentation (compared against historical controls) to identify oncology patients who meet inclusion criteria for a clinical trial.
- Trial name
- NCT06561230
- Testing
- Chart review
- Where
- United States
- Volunteers
- 300 people
- Sponsor
- University of Pennsylvania
Prostate Cancer
Acceptability of Artificial Intelligence in the Diagnosis of Prostate Cancer
This study investigates the acceptability of artificial intelligence (AI) as a diagnostic support tool among patients with localized prostate cancer and healthcare providers, as well as their willingness to share health data for…
- Trial name
- AccAI (NCT07074405)
- Testing
- Questionnaire and Physical Exam
- Where
- Belgium
- Volunteers
- 51 people
- Sponsor
- Centre Hospitalier Universitaire de Liege
AI-Assisted Academic Writing, Medical Education
AI-Assisted Structured Guidance for Narrative Review Writing
This randomized, parallel-group, assessor-blinded educational study will evaluate whether one session of AI-assisted structured guidance improves the quality of narrative literature reviews written by medical postgraduate…
- Conditions
- AI-Assisted Academic Writing, Medical Education, Narrative Review Writing
- Trial name
- NCT07618819
- Testing
- AI-Assisted Structured Guidance, Free AI Use
- Where
- China
- Volunteers
- 102 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Surgery
AI-driven Clinical Decision Support for Perioperative Blood Orders
20 million patients have surgery in the United States every year, with approximately 1 million of those patients requiring life-saving blood transfusion.
- Trial name
- SPATH (NCT07223853)
- Testing
- S-PATH clinical decision support system, Usual care
- Where
- United States
- Volunteers
- 50 people
- Sponsor
- Washington University School of Medicine
Fetal Growth Restriction (FGR)
AI-Based Ultrasound Prediction of Pregnancy Outcomes in Placental-Related Fetal Growth Restriction (MVM-FGR): A Prospective Cohort Study
The goal of this prospective cohort study is to enroll pregnancies complicated by placental-related fetal growth restriction (FGR) and to develop predictive models for adverse short- and long-term outcomes.
- Trial name
- NCT07473739
- Testing
- new ultrasound index and MRI
- Where
- China
- Volunteers
- 300 people
- Sponsor
- Xinhua Hospital, Shanghai Jiao Tong University School of Medicine
Medical Education, Generative Artificial Intelligence
Teaching Medical Students to Verify AI-Generated Citation Hallucinations
Generative artificial intelligence (GenAI) tools are increasingly used by medical students for literature searching, scientific writing, and research. However, AI-generated citations may contain errors.
- Trial name
- SARA (NCT07844746)
- Testing
- SARA Citation-Verification Training, Responsible GenAI Education Intervention Description
- Volunteers
- 320 people, healthy volunteers welcome
- Sponsor
- Quaid-e-Azam Medical College
Type 1 Diabetes Mellitus (T1DM), Diabetes Distress
GlycoQuest: An AI-Adaptive CGM-Integrated Serious Game for Pediatric Type 1 Diabetes
Type 1 diabetes diagnosed in childhood requires rapid acquisition of complex self-management skills while children and caregivers are also adapting emotionally and socially to a chronic condition.
- Conditions
- Type 1 Diabetes Mellitus (T1DM), Diabetes Distress, Hypoglycemia (Diabetic), Family Conflict
- Trial name
- GlycoQuest (NCT07726680)
- Testing
- GlycoQuest Digital Therapeutic, Enhanced Digital Psychoeducation
- Where
- Pakistan
- Volunteers
- 110 people
- Sponsor
- Shifa International Hospital
Ultrasound Imaging of Anatomical Structures
Data Collection for the Validation of an Artificial Intelligence Software to Support Musculoskeletal Ultrasound Examination
This study conducted at three locations, aiming to collect ultrasound images from volunteers and assess the performance of an AI software, MSK Go, using these images.
- Trial name
- NCT07336407
- Testing
- Ultrasound Scans
- Where
- 3 sites in United States
- Volunteers
- 79 people, healthy volunteers welcome
- Sponsor
- Smart Alfa Teknoloji San. ve Tic. A.S.
Atrial Cardiomyopathy
Prognostic Role of AI-Echo
Left atrial cardiomyopathy (LACM) is frequently underdiagnosed but plays a key role in increasing the risk of atrial fibrillation (AF) and thromboembolic events.
- Trial name
- NCT07009639
- Where
- Italy
- Volunteers
- 45 people
- Sponsor
- University of Calabria
Flat Colorectal Lesion
Comparison of Flat Colorectal Lesion Detection by Artificial Intelligence-assisted Colonoscopy Versus Endoscopists
The development of artificial intelligence (AI) systems in the field of colorectal endoscopy is currently booming, colorectal cancer being, by its frequency and severity, a real public health problem.
- Trial name
- AIChallengeMed (NCT05942677)
- Testing
- proportion of colorectal lesions
- Where
- France
- Volunteers
- 160 people
- Sponsor
- Hospices Civils de Lyon
Out-Of-Hospital Cardiac Arrest, Trauma
AI to Improve Outcome From Traumatic Cardiac Arrest
This study evaluates data from patients in The Danish Medical Service electronical registry over a 6-year period from 2016 to 2021 with traumatic cardiac arrest.
- Trial name
- NCT05294575
- Where
- Denmark
- Volunteers
- 31,200 people
- Sponsor
- Prehospital Center, Region Zealand