AI-Enhanced Point-of-Care Ultrasound Study Optimises Pelvic Imaging Readiness in Paediatric Emergency Medicine

References

1. 1.Nicklaus Children's Hospital. (2024). Bladder Point-of-Care Ultrasound to Assess Patient Readiness for Pelvic Ultrasound With the Use of Artificial Intelligence. ClinicalTrials.gov. NCT07535294. https://clinicaltrials.gov/study/NCT07535294
2. 2.Paspulati, R. M., & Bhargava, P. (2019). Sonographic evaluation of acute pelvic pain in women of reproductive age. Radiologic Clinics of North America, 57(4), 649-663. https://doi.org/10.1016/j.rcl.2019.07.007
3. 3.Moore, C. L., & Copel, J. A. (2011). Point-of-care ultrasonography. New England Journal of Medicine, 364(8), 749-757. https://doi.org/10.1056/NEJMra0909487
4. 4.Sivitz, A. B., Tejani, C., & Cohen, S. G. (2014). Evaluation of acute pelvic pain in women of childbearing age. Emergency Medicine Clinics of North America, 32(2), 293-313. https://doi.org/10.1016/j.emc.2014.04.009
5. 5.Burnand, K. M., & Janes, S. E. (2015). Acute pelvic pain in women. Surgery (Oxford), 33(9), 397-402. https://doi.org/10.1016/j.mpsur.2015.06.009
6. 6.Dietrich, C. F., Hoffmann, B., Abramowicz, J., Badea, R., Braden, B., Cantisani, V., ... & Vinayak, S. (2019). Medical student ultrasound education: a WFUMB position paper, part I. Ultrasound in Medicine & Biology, 45(2), 271-281. https://doi.org/10.1016/j.ultrasmedbio.2019.05.032