Clinical trials: Radiologists
Pneumoconiosis
Potential of Deep Learning in Assessing Pneumoconiosis Depicted on Digital Chest Radiography
Pneumoconiosis is relatively prevalent in low/middle-income countries, and it remains a challenging task to accurately and reliably diagnose pneumoconiosis.
- Trial name
- NCT04963348
- Testing
- convolutional neural networks (CNNs)
- Volunteers
- 1,881 people
- Sponsor
- Peking University Third Hospital
Pneumothorax, Intestinal Obstruction
The Impact of Artificial Intelligence-Assisted X-ray Interpretation on Radiologists' Diagnostic Performance
This study tests whether an artificial intelligence (AI) tool helps radiologists read X-rays more accurately. Radiologists read X-rays to find diseases such as pneumonia, bone fractures, and abdominal problems.
- Conditions
- Pneumothorax, Intestinal Obstruction, Spondylolysis, Renal Calculus
- Trial name
- NCT07870928
- Volunteers
- 500 people, healthy volunteers welcome
- Sponsor
- The Third Affiliated Hospital of Southern Medical University
Routine Outpatients Undergoing Contrast Enhanced CT Scan of the Abdomen and Pelvis
The Impact of Oral Contrast in Multidetector CT of the Abdomen and Pelvis on Radiologist Confidence
The investigators seek to demonstrate the non-superiority of oral contrast versus no oral contrast in intravenously enhanced CT in the outpatient setting.
- Trial name
- NCT01655550
- Testing
- Withhold oral contrast
- Where
- United States
- Volunteers
- 216 people, healthy volunteers welcome
- Sponsor
- Hartford Hospital
Pulsatile Tinnitus (Diagnosis)
Role of the Radiologist in Management of Pulsatile Tinnitus
The aim of this study is to detect the role of interventional radiology in management of Pulsatile tinnitus and to detect the best imaging modality for Diagnosis.
- Trial name
- NCT05338684
- Testing
- Colour doppler,MSCT,MRI
- Volunteers
- 50 people, healthy volunteers welcome
- Sponsor
- Mohab Mohammed
Ultra-low-dose CT, Thoracic
Fast Ultra Low Dose CT Interpretation
An ultra-low-dose CT(ULDCT) image viewer prototype was developed in an iterative fashion that aims to reduce average interpretation times of ULDCT images.
- Trial name
- NCT05748184
- Testing
- ULDCT PACS prototype, PACS viewer prototype, Optimized ULDCT viewer prototype version(s)
- Where
- Netherlands
- Volunteers
- 4 people, healthy volunteers welcome
- Sponsor
- Philips Clinical & Medical Affairs Global
Acute Appendicitis
IA Model for Acute Appendicitis in CT
the investigators's study group has developed a fully automated 3D convolutional neural network (CNN)-based diagnostic framework using information of appendix (IA) model to identify non-appendicitis and simple and complicated…
- Trial name
- NCT06175169
- Testing
- Information of Appendix (IA) model
- Where
- South Korea
- Volunteers
- 568 people
- Sponsor
- Hallym University Medical Center
Sleep Deprivation, Sleepiness
Shift Hours' Impact on Fatigue and Tracking of Eye Dynamics
The goal of this clinical trial is to learn how night shift-induced sleep debt affects oculomotor patterns, attentional state, and diagnostic performance in emergency radiologists.
- Conditions
- Sleep Deprivation, Sleepiness, Eye-Tracking Technology, Radiologists
- Trial name
- SHIFTED (NCT07192380)
- Testing
- Electroencephalogram, Actigraphy, Eye Tracking
- Where
- France
- Volunteers
- 40 people, healthy volunteers welcome
- Sponsor
- IMADIS Technologies et Services