Clinical trials: Trust AI
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
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