Clinical trials: AI (Artificial Intelligence)
Artificial Intelligence (AI)
Identification of Depressive and Anxiety Symptoms Among a Sample of Emergency Department Patients Using Artificial Intelligence (AI) Technology
Behavioral health problems, such as depression and anxiety, are common yet often are not identified by emergency department doctors and nurses.
- Trial name
- NCT06473558
- Testing
- Biometrics (or AI Biomaker)
- Where
- United States
- Volunteers
- 30 people
- Sponsor
- University Hospitals Cleveland Medical Center
Substance-related Disorders, Behavior, Addictive
A Study of the Correlation Between the Severity of Substance Use Disorder and the Intensity of Dependence on Generative Artificial Intelligence
This bicentric, cross-sectional observational study conducted in France evaluates the relationship between substance use disorder (SUD) severity and generative artificial intelligence dependency among outpatients treated in…
- Conditions
- Substance-related Disorders, Behavior, Addictive, Artificial Intelligence (AI)
- Trial name
- ADDICT-IA (NCT07819851)
- Testing
- Questionnaire assessment
- Where
- France
- Volunteers
- 100 people
- Sponsor
- Centre Hospitalier Universitaire de Nice
Nursing, Artificial Intelligence (AI)
AI-Assisted Smart Interactive Healthcare Robot
To address workforce shortages and increasing workloads in nursing, technological solutions and AI-powered robots for ward navigation have been introduced. However, limitations remain in their application to clinical care.
- Conditions
- Nursing, Artificial Intelligence (AI), Deep Learning, Mechine Learning
- Trial name
- NCT06972043
- Testing
- Intervention Group
- Where
- Taiwan
- Volunteers
- 160 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital
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
Traumatic Brain Injury, Exercise
AI-driven Personalized Exercise Feedback Program on Exercise Adherence in Traumatic Brain Injury
This study aims to develop and evaluate an AI-driven Personalized Exercise Feedback Program (AI-PEF) to enhance exercise adherence and health outcomes in mTBI patients.
- Conditions
- Traumatic Brain Injury, Exercise, AI (Artificial Intelligence), Digital Health
- Trial name
- NCT06817564
- Testing
- AI-PEF, Theory-based digital exercise, Active Control
- Volunteers
- 125 people
- Sponsor
- National Defense Medical Center, Taiwan
Pancreatic Neoplasms, Pancreatic Ductal Adenocarcinoma (PDAC)
EUS-Based Artificial Intelligence to Predict Outcomes in Pancreatic Cancer
The EUS-AI-R study is an observational, single-center, two-phase (retrospective-prospective) study designed to develop and validate artificial intelligence (AI) models for predicting chemotherapy response and oncological outcomes…
- Conditions
- Pancreatic Neoplasms, Pancreatic Ductal Adenocarcinoma (PDAC), Artificial Intelligence (AI), Endoscopic Ultrasound (EUS)
- Trial name
- EUS-AI-R (NCT07803770)
- Testing
- Endoscopic ultrasound (EUS), with or without tissue acquisition (EUS-FNA/FNB), performed according to standard clinical practice. No study-specific intervention is introduced.
- Where
- Italy
- Volunteers
- 700 people
- Sponsor
- IRCCS San Raffaele
Arthroscopy, Artificial Intelligence (AI)
The Effect of AI Training on Arthroscopy Outcomes
This study is planned to determine the effects of AI-assisted regional training on surgical anxiety, fear, postoperative pain, and comfort levels in patients undergoing arthroscopy.
- Conditions
- Arthroscopy, Artificial Intelligence (AI), Surgical Anxiety, Surgical Fear
- Trial name
- NCT07800091
- Testing
- Artificial Intelligence-Based Education, Nurse-Led Education, Routine Information (Control)
- Where
- Turkey (Türkiye)
- Volunteers
- 75 people
- Sponsor
- Nigde Omer Halisdemir University
Ventricular Dysfunction, Left, Ventricular Function, Left
Federated Learning for Point-of-Care Cardiac Ultrasound
This prospective, multicenter study will evaluate a federated machine-learning system designed to analyze focused cardiac point-of-care ultrasound examinations.
- Conditions
- Ventricular Dysfunction, Left, Ventricular Function, Left, Echocardiography, Ultrasonography
- Trial name
- FL-POCUS (NCT07800962)
- Testing
- Focused Cardiac Point-of-Care Ultrasonography, FL-POCUS Federated Machine-Learning Analysis System
- Where
- United States
- Volunteers
- 3,000 people
- Sponsor
- Truway Health, Inc.
Ophthalmology, Artificial Intelligence (AI)
Detection of Systemic Diseases Such as Hepatobiliary Diseases From Ocular Images Via Deep Learning
Oculomics is an emerging interdisciplinary field that deciphers multi-dimensional, high-throughput ocular data to predict, diagnose, and monitor systemic diseases and health span.In recent years, artificial Intelligence may…
- Conditions
- Ophthalmology, Artificial Intelligence (AI), Hepatobiliary Diseases, Systemic Diseases
- Trial name
- NCT07581925
- Testing
- Systemic diseases such as Hepatobiliary Disorders
- Where
- China
- Volunteers
- 730 people, healthy volunteers welcome
- Sponsor
- Zhongshan Ophthalmic Center, Sun Yat-sen University
Mycosis Fungoides of Skin (Diagnosis), Artificial Intelligence (AI) in Diagnosis
AI in MF Diagnosis
The aim of this observational study is to evaluate the diagnostic performance of an AI algorithm in the histopathological diagnosis of MF compared to certified dermatopathologists.
- Trial name
- AI\MF (NCT07795242)
- Testing
- this study does not include any intervention
- Where
- Egypt
- Volunteers
- 50 people
- Sponsor
- Al-Azhar University
Therapeutic Alliance, Empathy
AI Ambient Scribe in Psychiatry
The goal of this clinical trial is to learn if an artificial intelligence (AI) tool that listens to appointments and drafts clinical notes can help clinicians in psychiatric care.
- Conditions
- Therapeutic Alliance, Empathy, Documentation, Artificial Intelligence (AI)
- Trial name
- AASP (NCT07777224)
- Testing
- Artificial Intelligence Ambient Scribe
- Where
- 8 sites in Switzerland
- Volunteers
- 47 people, healthy volunteers welcome
- Sponsor
- Psychiatrie St. Gallen
AI (Artificial Intelligence), Large Language Model
OpenEvidence Safety and Comparative Efficacy of Four LLM's in Clinical Practice
OpenEvidence is an online tool that aggregates and synthesizes data from peer-reviewed medical studies, then producing a response to a user's questions using generative AI.
- Conditions
- AI (Artificial Intelligence), Large Language Model, Generative Artificial Intelligence
- Trial name
- NCT07199231
- Testing
- AI clinical reference tool
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Cambridge Health Alliance
Emergency Medicine, AI (Artificial Intelligence)
AI-support in Emergency Medicine
The purpose of this study is to investigate whether the use of generative artificial intelligence (AI) as a support tool can improve physicians' ability to establish accurate differential diagnoses in emergency care.
- Conditions
- Emergency Medicine, AI (Artificial Intelligence), Differential Diagnosis
- Trial name
- NCT07766863
- Where
- Sweden
- Volunteers
- 500 people
- Sponsor
- Region Stockholm
Emergency Medicine, Diagnostic Errors
Diagnostic Accuracy of Two Large Language Models in Turkish Emergency Department Anamnesis Notes
This retrospective diagnostic accuracy study evaluates two large language models - GPT-4.1 (gpt-4.1-2025-04-14; OpenAI) and Claude Sonnet 4.6 (claude-sonnet-4-6; Anthropic) - as retrospective coding-quality instruments applied to…
- Conditions
- Emergency Medicine, Diagnostic Errors, Artificial Intelligence (AI) in Diagnosis
- Trial name
- LLM-ED-DX-TR (NCT07632859)
- Where
- Turkey (Türkiye)
- Volunteers
- 600 people
- Sponsor
- Marmara University Pendik Training and Research Hospital
Aesthetic Perception, Nursing Care
AI-Powered Beauty Perceptions and Social Media Awareness Regarding Appearance on Social Appearance Anxiety in Patients Undergoing Cosmetic Surgery
This study aims to examine the relationship between social media use, perceptions of AI-generated beauty standards, and social appearance anxiety among individuals planning aesthetic surgery.
- Conditions
- Aesthetic Perception, Nursing Care, Artificial Intelligence (AI), Social Acceptance, Social Anxiety
- Trial name
- NCT07761858
- Where
- Turkey (Türkiye)
- Volunteers
- 145 people
- Sponsor
- Aydin Adnan Menderes University
Polyp of Colon, Artificial Intelligence (AI)
Video/Image Library of Endoscopy Procedures for the Development of AI-empowered Endoscopy Quality Reporting and Educational Modules
The goal of this observational study is to establish a video/image library dataset of complete endoscopy or partial colonoscopy procedures for patients with rectal cancer or inflammatory bowel disease (IBD).
- Trial name
- Videotheque (NCT06822816)
- Where
- Canada
- Volunteers
- 10,000 people
- Sponsor
- Centre hospitalier de l'Université de Montréal (CHUM)
Artificial Intelligence (AI), Perioperative Nursing
Artificial Intelligence in Perioperative Nursing
This mixed-methods study aims to assess current perspectives, attitudes, and preparedness of perioperative nurses regarding the integration of artificial intelligence (AI) in clinical practice.
- Conditions
- Artificial Intelligence (AI), Perioperative Nursing, Surgical Care, Nursing Informatics
- Trial name
- NCT07601373
- Testing
- No interventions (observational study)
- Where
- 2 sites in Egypt
- Volunteers
- 183 people, healthy volunteers welcome
- Sponsor
- Alexandria University
Pelvic Floor Disorder, Loneliness
Postpartum Education Via Artificial Intelligence for Recovery and Loneliness: A Randomized Controlled Trial
The goal of this clinical trial is to learn whether a postpartum chatbot powered by generative artificial intelligence (genAI) can help new mothers get better pelvic floor health information and feel less lonely after childbirth.
- Conditions
- Pelvic Floor Disorder, Loneliness, Postpartum, Mental Health
- Trial name
- PEARL (NCT07223736)
- Testing
- Generative artificial intelligence (genAI) postpartum chatbot, Standard of Care (SOC)
- Where
- United States
- Volunteers
- 130 people
- Sponsor
- University of California, San Diego
Nursing Students, Artificial Intelligence (AI)
Artificial Intelligence Supported Case Analysis and Nursing Students
In this study, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.This study was…
- Trial name
- NCT07087288
- Testing
- AI-supported case, Case Analysis
- Where
- Turkey (Türkiye)
- Volunteers
- 93 people, healthy volunteers welcome
- Sponsor
- TC Erciyes University
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