Clinical trials: Generative Artificial Intelligence, open to volunteers
Acute Myeloid Leukemia
Design and Validation of a Generative AI and Propensity Score Matching Model for the VEN-DEC Phase II Study in Elderly AML Eligible for Allo-SCT; Evaluation of an Exploratory Approach Respect to a Randomized Phase III Trial
To better delineate the contribution of VEN-DEC to the treatment of AML patients aged between ≥ 60 and < 75 years and deemed fit for Allo-HSCT, real-world data on a patient-level basis will be collected and utilized to generate a…
- Trial name
- VenDec-AI (NCT07420790)
- Where
- Italy
- Volunteers
- 1,941 people
- Sponsor
- Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia
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
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
Cardiac Arrest, Cardiopulmonary Resuscitation
Generative AI and Gamified Simulation-Based Train-the-Trainer Basic Life Support Training for High School Teachers in Vietnam
The goal of this randomized controlled trial is to learn whether adding generative artificial intelligence (AI) feedback, gamified practice and a structured Train-the-Trainer component to a one-day simulation-based Basic Life…
- Trial name
- NCT07898891
- Testing
- Generative AI and Gamified Simulation-Based Train-the-Trainer BLS Programme, Conventional Instructor-Led Simulation-Based BLS Training
- Where
- 2 sites in Thailand, Vietnam
- Volunteers
- 56 people, healthy volunteers welcome
- Sponsor
- Eastern International University
Education, Academic Performance
Impact of Generative AI on University Students' Learning Processes and Critical Thinking
This study is a randomized, controlled trial with a pre-test/post-test design, conducted to determine the effects of Generative AI (GenAI)-supported learning on academic achievement, learning efficiency, and critical thinking…
- Conditions
- Education, Academic Performance, Learning Efficiency, Generative Artificial Intelligence
- Trial name
- AI-Critical (NCT07762261)
- Testing
- Behavioral
- Volunteers
- 100 people
- Sponsor
- Ataturk University
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
Creativity
The Creative Team Member: A Study of the Influence of AI Integration Timing on Brainstorming and Ideation
This study aims to examine how the timing of artificial intelligence (AI) integration during group brainstorming activities affects the creativity and ideation of participants.
- Trial name
- NCT07693803
- Testing
- Artificial Intelligence First (Early Integration), Artificial Intelligence Last (Late Integration)
- Where
- Canada
- Volunteers
- 16 people, healthy volunteers welcome
- Sponsor
- McMaster University
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
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
Undergraduate Nursing Students
Effect of GenAI Patient Simulation on Clinical Preparedness and Clinical Competence in Nursing Students
The transition from theoretical knowledge to clinical practice is a critical and challenging phase for nursing students. Limited opportunities for scenario-based learning before an clinical practicum impacts students'…
- Trial name
- NCT07811245
- Testing
- GenAI Patient Simulation Platform
- Volunteers
- 44 people, healthy volunteers welcome
- Sponsor
- The University of Hong Kong
Generative Artificial Intelligence
Implementation of a Blended Online and Offline Teaching Model
This study aims to design, implement, and evaluate a blended online and offline teaching model for Internal Medicine Nursing, integrating generative artificial intelligence (GAI), a virtual simulation platform, card-based…
- Trial name
- NCT07189611
- Testing
- A blended online and offline teaching model for internal medicine nursing practice based on generative artificial intelligence
- Volunteers
- 600 people, healthy volunteers welcome
- Sponsor
- Hengxu Wang
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
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
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
Family, Nursing Home
The Effectiveness of AIFIGA Program on Nursing Home Nursing Staff and Family and Residents'Health
This study aims to develop and evaluate the longitudinal effectiveness of the Artificial Intelligence Family Involvement Generative Agent (AIFIGA) program in enhancing the health of nursing staff, family, and residents' health…
- Conditions
- Family, Nursing Home, Digital Health
- Trial name
- NCT06574438
- Testing
- AIFIGA program
- Where
- Taiwan
- Volunteers
- 210 people, healthy volunteers welcome
- Sponsor
- Chang Gung Memorial Hospital
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
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
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
Generalized Anxiety, Fear of Failure
Optimization of Late Imagery Rescripting Research Using Generative Artificial Intelligence
The aim of the study is to examine the effect of imagery rescripting (ImRs) in the context of utilizing large language models (LLMs).
- Conditions
- Generalized Anxiety, Fear of Failure, Rumination
- Trial name
- ImRs_LLM_DeanG (NCT07565714)
- Testing
- Imagery Rescripting Intervention
- Where
- 2 sites in Poland
- Volunteers
- 40 people
- Sponsor
- University of Social Sciences and Humanities, Warsaw
Palliative Care, Generative Artificial Intelligence
Patient Aid for Theory-Driven Health Communication (PATH): Translating Goal-Power Theory Into an Instrument and Generative AI Support for Palliative Care Communication
The goal of this clinical trial is to learn whether an artificial intelligence (AI)-supported communication tool can help improve communication between people receiving palliative care and their healthcare providers.
- Conditions
- Palliative Care, Generative Artificial Intelligence, Natural Language Processing (NLP)
- Trial name
- NCT07692711
- Testing
- NurseChat+
- Where
- Taiwan
- Volunteers
- 240 people, healthy volunteers welcome
- Sponsor
- National Taiwan University Hospital