Using AI to convert ultrasound images into CT format
A Prospective Study for the Conversion of Ultrasound Images to CT Format Imaging Using Artificial Intelligence-based Learning
NA · HaEmek Medical Center, Israel · NCT04654546
This study is testing if using artificial intelligence to change ultrasound images into a format like CT scans can give a better view of the body while keeping the ultrasound safe and easy to use.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 50 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | HaEmek Medical Center, Israel (other) |
| Drugs / interventions | radiation |
| Locations | 1 site (Afula) |
| Trial ID | NCT04654546 on ClinicalTrials.gov |
What this trial studies
This study aims to enhance ultrasound imaging by utilizing artificial intelligence to convert ultrasound images into a format similar to that of CT scans. The research focuses on addressing the limitations of ultrasound, such as its inability to penetrate air-filled structures and its dependence on operator skill. By leveraging AI, the study seeks to provide a broader anatomical view while maintaining the safety and accessibility of ultrasound imaging. Participants will undergo an abdominal ultrasound scan after having a CT exam within the past month to compare the imaging results.
Who should consider this trial
Good fit: Ideal candidates are individuals who have recently undergone an abdominal CT exam and are able to cooperate during the ultrasound procedure.
Not a fit: Patients who have experienced significant changes in their medical condition or are pregnant may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could provide safer and more accessible imaging options for patients while improving diagnostic accuracy.
How similar studies have performed: While the use of AI in imaging is a growing field, this specific approach of converting ultrasound to CT format is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Participants who performed an abdominal CT exam up to one month prior to the experimental ultrasound exam. Exclusion Criteria: * Participants who had a change in their medical condition that may have substantial effects on the imaging features of the abdominal organs. * Pregnant women
Where this trial is running
Afula
- Emek medical center — Afula, Israel (RECRUITING)
Study contacts
- Principal investigator: Israel Aharony, M.D. Ph.D — Imaging institute, Haemek Medical Center, Afula, Israel.
- Study coordinator: Israel Aharony, M.D. Ph.D
- Email: elik.aharony@gmail.com
- Phone: 97246495635
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Anatomy