Clinical trials: Trust AI
Patient Health Information Seeking Behavior, Trust
Patient AI Trust Dynamics Before and After Orthopedic Consultation (ORTHO-OP-GPT)
Patients increasingly consult artificial intelligence (AI) chatbots such as ChatGPT for health information before clinical visits, yet the impact of an actual orthopedic consultation on patient trust in AI-derived information…
- Conditions
- Patient Health Information Seeking Behavior, Trust, Health Literacy, Orthopedics
- Trial name
- ORTHO-OP-GPT (NCT07631585)
- Where
- 2 sites in Cyprus
- Volunteers
- 350 people
- Sponsor
- Utku Gürhan
Fetal Growth, Obstetric Ultrasonography
Clinicians' Trust in AI-Based Fetal Growth Estimates
This study examines how clinicians trust and use artificial intelligence (AI) when estimating fetal weight during pregnancy. Accurate assessment of fetal growth is important for identifying growth problems that may affect…
- Conditions
- Fetal Growth, Obstetric Ultrasonography, Pregnancy, Clinical Decision-making
- Trial name
- NCT07401368
- Testing
- Intervention - AI Performance Information
- Where
- Denmark
- Volunteers
- 130 people, healthy volunteers welcome
- Sponsor
- Copenhagen University Hospital, Rigshospitalet
Diagnostic Imaging, Eye Tracking
AI Timing in Chest X-ray Interpretation Using Eye-Tracking
Chest X-rays are commonly used to help diagnose and manage chest conditions. Artificial intelligence (AI) tools are increasingly being used to support chest X-ray interpretation.
- Conditions
- Diagnostic Imaging, Eye Tracking, Artificial Intelligence (AI)
- Trial name
- CREAITED (NCT07675694)
- Testing
- Original CXR First Timing, AI Output First Timing
- Where
- United Kingdom
- Volunteers
- 24 people, healthy volunteers welcome
- Sponsor
- University Hospitals, Leicester
Musculoskeletal Disease, Orthopedic Patients
Original Medical Notes Versus AI Plain-Language Summaries
The goal of this clinical trial is to learn how patients feel when reading their medical notes. The study compares reading the original doctor's note with reading a simpler, Artificial Intelligence (AI)-generated version written…
- Trial name
- NCT07602725
- Testing
- LLM-Generated Medical Note, Control (Original Medical Note)
- Volunteers
- 135 people
- Sponsor
- University of Texas at Austin
Digital Health, Artificial Intelligence (AI)
Trust in AI and Digitalization in Healthcare Across Generational Groups
This study aims to investigate differences in perception of barriers and facilitators of digitalization and Artificial Intelligence (AI) usage in healthcare across different generational groups (youth, working-age adults, and…
- Trial name
- TRUST-AI (NCT07265427)
- Where
- 2 sites in Germany
- Volunteers
- 188 people
- Sponsor
- Jacobs University Bremen gGmbH
AI and GIT
Assessing Knowledge, Attitudes, Trust, Perceived Usefulness, and Barriers to Using Artificial Intelligence (AI) in Gastroenterology Among Clinicians and Patients
-Introduction Innovative technological developments in medical image interpretation, diagnostic support, risk assessment for different illnesses, outcome prognostication, and, in some cases, treatment recommendation have all been…
- Trial name
- NCT07669025
- Testing
- Questionnaire
- Volunteers
- 100 people
- Sponsor
- Sohag University
Patients Attitude on AI in Dentistry, Trust AI
Patient's Knowledge About AI in Dentistry
It's a cross sectional study , A validated questionnaire to knows patients attitude , opinion towards using AI in dentistry used before By Ayad et al on a different population.
- Conditions
- Patients Attitude on AI in Dentistry, Trust AI, Concerns on AI
- Trial name
- NCT07003724
- Testing
- Questionaire
- Where
- Egypt
- Volunteers
- 382 people
- Sponsor
- Cairo University
Pulmonary Nodules, Solitary, Pulmonary Nodules, Multiple
AI Assisted Detection of Chest X-Rays
This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838).
- Conditions
- Pulmonary Nodules, Solitary, Pulmonary Nodules, Multiple, Pulmonary Consolidation, Pneumothorax
- Trial name
- AID-CXR (NCT06075836)
- Testing
- Cases reading, Ground truthing
- Where
- United Kingdom
- Volunteers
- 33 people, healthy volunteers welcome
- Sponsor
- Oxford University Hospitals NHS Trust
Falls Risk
Examining Nurses' Trust and Acceptance of FAIR, an AI-powered Falls Risk Recommender
An exploratory mixed-method study will be conducted to test acceptance and trust of an AI-powered falls risk predictor system by inpatient hospital nurses
- Trial name
- NCT07078240
- Testing
- Falls risk - Artificial Intelligence Recommender (FAIR), modified Western Health Falls Risk Assessment Tool (mWHeFRA)
- Volunteers
- 60 people, healthy volunteers welcome
- Sponsor
- Tan Tock Seng Hospital