Clinical trials: Generative Artificial Intelligence, active
Breast Cancer, Metastatic Breast Cancer
Generative AI Patient Education Module for Breast Oncology
This study evaluates the safety, accuracy, and impact of an artificial intelligence (AI) tool designed to support patient education in breast cancer care for breast oncology patients under selected physicians care within the…
- Conditions
- Breast Cancer, Metastatic Breast Cancer, Carcinoma of the Breast
- Trial name
- NCT07512271
- Testing
- Survey (Participant), OpenEvidence CareConnect, Survey (Provider)
- Where
- United States
- Volunteers
- 35 people
- Sponsor
- University of California, San Francisco
Study Aims to Develop and Validate a Generative AI-assistant Designed to Optimize Radiologists' Workflows and to Evaluate Its Performance
Generative AI Radiologist's Workstation
This study aims to develop a generative AI assistant for radiologists to automate the processing of electronic medical records (EMRs) and provide relevant clinical information, optimizing diagnostic interpretation workflows.
- Trial name
- GARW (NCT07057830)
- Where
- 2 sites in Russia
- Volunteers
- 27 people
- Sponsor
- Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of the Moscow Health Care Department
Clinical Decision Support
Artificial Intelligence (AI)-Initiated Clinical Decision Support in Hospitalist Practice
This study will evaluate the feasibility of using artificial intelligence (AI)-generated clinical decision support during routine inpatient hospital medicine care.
- Trial name
- NCT07889063
- Testing
- AI Clinical Decision Support: Automated EHR Data Retrieval, AI Clinical Decision Support: Admission H&P Note
- Where
- 2 sites in United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- Cedars-Sinai Medical Center
Avoidant Restrictive Food Intake Disorder
Scalable, Clinician-Supervised Generative-AI Food-Chaining Assistant for Pediatric ARFID
Children with Avoidant/Restrictive Food Intake Disorder (ARFID) often lack access to specialty dietitians, and scalable nutritional guidance/food chaining tools are currently not available.
- Trial name
- NCT07006961
- Testing
- Generative AI-based food chaining device
- Volunteers
- 125 people
- Sponsor
- Boston Children's Hospital
Artifical Intelligence, Generative Artificial Intelligence
The Effect of Two Different Generative AI Tools on Nursing Students' Patient Counseling Skills and Motivation Regarding Instructional Materials
The goal of this parallel-group randomized controlled trial is to compare the effects of two different generative artificial intelligence (AI) tools (a video/audio interactive AI avatar versus a written AI learning assistant…
- Conditions
- Artifical Intelligence, Generative Artificial Intelligence, Counseling, Education, Nursing
- Trial name
- NCT07909083
- Testing
- Interactive AI Avatar Simulation, Written AI Chatbot Simulation
- Volunteers
- 70 people, healthy volunteers welcome
- Sponsor
- Manisa Celal Bayar University
Physical Activity
Self-directed Use of Resources for Physical Activity
This is a pilot RCT examining physical activity outcomes at 3 months across 3 conditions: use of large language model (LLM) fully self-directed; use of LLM with guidance; and use of online tools to help with sleep.
- Trial name
- CHARGE (NCT07654868)
- Testing
- LLM alone, LLM enhanced, Sleep promotion
- Volunteers
- 39 people
- Sponsor
- University of Florida
Medical Education
Generative AI-Assisted Personalized Feedback for Laparoscopic Skill Learning in Medical Undergraduates
Laparoscopic training involves learning to control surgical instruments while viewing movements on a screen. Feedback can help learners identify technical problems and plan further practice, but providing individualized guidance…
- Trial name
- AI-T-LAP (NCT07903467)
- Testing
- Generative AI-Assisted Personalized Feedback, Structured Template-Based Feedback
- Where
- China
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- Yang Xiaodong
Medical Education
AI-Generated and Rule-Based Individualized Feedback for Medical Students' Nephrology Learning
Medical education increasingly emphasizes individualized learning and formative assessment; however, providing timely and personalized feedback to students remains challenging because of limited faculty resources.
- Trial name
- AIFB-NR (NCT07871526)
- Testing
- AI-Generated Individualized Feedback, Rule-Based Individualized Feedback, No Individualized Feedback
- Where
- China
- Volunteers
- 190 people, healthy volunteers welcome
- Sponsor
- Dou Fulin
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
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
ICL, Vault
Predictive Performance of a Generative Model for Corneal Tomography After ICL Implantation
To evaluate the efficacy of a corneal tomography Imaging model in predicting postoperative vault based on preoperative corneal topography in Implantable Collamer Lens (ICL) surgery.
- Conditions
- ICL, Vault, Deep Learning, AI (Artificial Intelligence)
- Trial name
- NCT07146737
- Testing
- Corneal tomography generation model after ICL surgery
- Where
- China
- Volunteers
- 818 people
- Sponsor
- Second Affiliated Hospital of Nanchang University
Diagnosis, Clinical Decision-making
Reasoning Enrichment With Feedback From IA in NEphrology Trial
The goal of this clinical trial is to learn how artificial intelligence (AI) may help doctors make diagnoses in kidney medicine.
- Conditions
- Diagnosis, Clinical Decision-making, Artificial Intelligence (AI) in Diagnosis, Decision Support Systems, Clinical
- Trial name
- REFINe (NCT07352475)
- Testing
- AI suggestion
- Where
- France
- Volunteers
- 100 people, healthy volunteers welcome
- Sponsor
- University Hospital, Lille
Accuracy of Artificial Intelligence in Fixed Dental Prosthesis Design
Artificial Intelligence Versus Conventional Digital Design for Fixed Dental Prosthesis
This in vitro study aims to evaluate the accuracy of an Artificial Intelligence (AI)-based automatic design system for fixed dental prosthesis (FDP) compared with conventional computer-aided design (CAD) software.
- Trial name
- NCT07432165
- Testing
- Conventional CAD-Based Fixed Dental Prosthesis Design, Artificial Intelligence-Based Fixed Dental Prosthesis Design
- Where
- Egypt
- Volunteers
- 1,000 people
- Sponsor
- October University for Modern Sciences and Arts
Overweight and/or Obesity
Piloting a Generative Artificial Intelligence Chatbot in a Mobile Weight Loss Program
The goal of this study is to learn if integrating a chatbot into an existing 12-week smartphone-delivered behavioral weight loss program is feasible and effective for weight loss among young adults.
- Trial name
- NCT07534254
- Testing
- AGILE Intervention, Chatbot
- Where
- United States
- Volunteers
- 20 people, healthy volunteers welcome
- Sponsor
- University of North Carolina, Chapel Hill
Learning
Application of the AI Platform iLN Based on DeepSeek in the Teaching of Lupus Nephritis
Aim: To evaluate the application effect of the teaching platform iLN in the teaching of lupus nephritis, aiming to provide practical experience and evidence-based support for the implementation of generative AI technology in…
- Trial name
- NCT07706998
- Testing
- An iLN interactive teaching platform, PPT
- Where
- China
- Volunteers
- 50 people
- Sponsor
- Nanjing University
Generalized Anxiety, Fear of Failure
Optimization of Imagery Rescripting Research Using Generative Artificial Intelligence
This pilot randomized controlled trial will investigate the feasibility and effectiveness of using generative artificial intelligence to create personalized therapeutic scripts for imagery rescripting (ImRs).
- Conditions
- Generalized Anxiety, Fear of Failure, Rumination
- Trial name
- FRBN (NCT07189715)
- Testing
- Imagery Rescripting Intervention (AI-Generated)
- Where
- Poland
- Volunteers
- 80 people
- Sponsor
- University of Social Sciences and Humanities, Warsaw
Quality Improvement
An Evaluation of Epic EHR AI Outpatient Chart Summarization
This is a RCT of 284 outpatient physicians at a large academic health system, randomized 1:1 to an electronic health record (EHR) produced generative AI outpatient chart summarization tool or a usual-care control group.
- Trial name
- NCT07438743
- Testing
- GenAI Chart Summarization
- Where
- United States
- Volunteers
- 284 people
- Sponsor
- University of California, Los Angeles
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
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
Burnout, Healthcare Workers
Generative Artificial Intelligence Nurse Staffing Study
This study is guided by Maslach's Burnout Theory and with Normalization Process Theory supporting the implementation of the GAINS intervention by facilitating its integration into routine system-level practice.
- Trial name
- GAINS (NCT06978790)
- Testing
- Generative Artificial Intelligence Nurse Staffing (GAINS) Intervention
- Volunteers
- 660 people, healthy volunteers welcome
- Sponsor
- University of Hawaii