Clinical trials: AI (Artificial Intelligence), open to volunteers
History Taking, Artificial Intelligence (AI)
Safety, Feasibility, and Acceptability of the MINERVA Voice Conversational Agent for Emergency Department History-Taking
This study evaluates whether an artificial intelligence (AI) conversational agent called MINERVA (Medical Interface for Navigating the Emergency Room with Voice Assistance) can safely and feasibly gather medical histories from…
- Trial name
- MINERVA-HX (NCT07877883)
- Testing
- MINERVA AI Chatbot
- Where
- United States
- Volunteers
- 250 people
- Sponsor
- Beth Israel Deaconess Medical Center
Uterine Fibroid, Uterine Sarcoma
Radiomics-Based Non-Invasive MRI Differentiation of Uterine Sarcomas and Fibroids
This retrospective case-control study aims to develop and validate a diagnostic model based on multimodal big data and artificial intelligence to differentiate uterine leiomyoma from uterine sarcoma.
- Conditions
- Uterine Fibroid, Uterine Sarcoma, Diagnose Disease, AI (Artificial Intelligence)
- Trial name
- NCT07129005
- Testing
- No intervention (observational study)
- Where
- China
- Volunteers
- 520 people
- Sponsor
- Tongji Hospital
Uterine Fibroid, Uterine Sarcoma
A Prospective Validation Study of Radiomics in the Differential Diagnosis of Uterine Leiomyoma and Uterine Sarcoma
In our previous study, based on the multi-center clinical big data collected from January 2012 to January 2025, we have completed the construction of a multimodal early warning model for the malignant transformation of uterine…
- Conditions
- Uterine Fibroid, Uterine Sarcoma, AI (Artificial Intelligence), Radiomic
- Trial name
- NCT07269535
- Testing
- No intervention (observational study)
- Volunteers
- 500 people
- Sponsor
- Tongji Hospital
Inpatient Internal Medicine Patients, Patient Discharge
A Pragmatic Trial of AI-Assisted Discharge Summary Generation
The goal of this study is to learn whether an artificial intelligence (AI) tool built into the electronic health record helps hospital physicians write discharge summaries.
- Conditions
- Inpatient Internal Medicine Patients, Patient Discharge, Documentation, Artificial Intelligence (AI)
- Trial name
- DRAFT-AI (NCT07866001)
- Testing
- Epic Discharge Summary Hospital Course Generator
- Volunteers
- 80 people
- Sponsor
- Unity Health Toronto
Colorectal Adenoma, Artificial Intelligence (AI)
Development and Demonstration of a Precision Prevention and Treatment System for Colorectal Tubular Adenomas Lesions
This study is a prospective,multi-center and observational clinical study.Investigators would like to innovatively construct a "trinity" database of colorectal tubular adenomas based on white light - magnifying chromo …
- Trial name
- NCT07073430
- Testing
- AI models with NBI
- Where
- China
- Volunteers
- 4,000 people
- Sponsor
- Renmin Hospital of Wuhan University
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
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
DSA, Bleeding
AI Assistance for Detecting Active Bleeding During DSA Procedures
Clinically, DSA-VDet can continuously indicate suspected bleeding regions throughout a complete angiographic sequence and provide a second-reader opinion to the operator.
- Conditions
- DSA, Bleeding, AI (Artificial Intelligence), Hemorrhage
- Trial name
- NCT07824739
- Testing
- DSA-VDet v1.0
- Where
- China
- Volunteers
- 1,324 people
- Sponsor
- Zhongda Hospital
High-risk Pregnancy, Hospitalization
LLM-Generated Medical Summaries During Hospitalization to Improve Patient Activation in High-Risk Pregnancies
The goal of this clinical trial is to learn if AI-generated medical summaries help hospitalized pregnant participants better understand and actively participate in their own care.
- Conditions
- High-risk Pregnancy, Hospitalization, Patient Activation, Artificial Intelligence (AI)
- Trial name
- NCT07823517
- Testing
- LLM-Generated Medical Summaries
- Where
- Israel
- Volunteers
- 200 people
- Sponsor
- Sheba Medical Center
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
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.
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
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
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)
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