Advanced Imaging Strategies in Emergency Medicine: Integrating Technology and Clinical Decision-Making in Critical Care
DOI:
https://doi.org/10.64784/172Keywords:
Emergency medicine, diagnostic imaging, point-of-care ultrasound, computed tomography, artificial intelligence, critical care, rapid diagnosis, imaging-guided strategies, clinical decision-making, emergency radiologyAbstract
Imaging-guided strategies have become a fundamental component of emergency medicine, significantly influencing diagnostic accuracy, clinical decision-making, and patient outcomes in critical care settings. This review analyzes the role of key imaging modalities, including point-of-care ultrasonography (POCUS), computed tomography (CT), and artificial intelligence (AI)-assisted tools, in the rapid evaluation and management of acute conditions. A structured analysis of recent high-impact literature (2020 onward) was conducted to identify patterns in imaging utilization, diagnostic performance, workflow efficiency, and clinical impact. The findings demonstrate that CT remains the gold standard for definitive diagnosis in high-risk scenarios, while POCUS provides rapid bedside assessment that facilitates early intervention. AI integration contributes to improved workflow efficiency, triage prioritization, and reduction in reporting times. However, challenges such as imaging overutilization and variability in resource availability persist, highlighting the need for evidence-based protocols and optimized decision-making frameworks. The integration of multimodal imaging approaches, adapted to diverse healthcare systems, is essential to enhance diagnostic precision and improve patient outcomes. These results support the concept that imaging is a strategic and dynamic element in emergency medicine, with a critical role in the evolution of modern critical care.
References
[1] M. A. Bruno et al., “ACR Appropriateness Criteria® Acute Nonlocalized Abdominal Pain,” J. Am. Coll. Radiol., vol. 17, no. 11S, pp. S383–S395, 2020. doi: 10.1016/j.jacr.2020.09.014
[2] D. L. Kwee and T. C. Kwee, “Chest CT in COVID-19: What the Radiologist Needs to Know,” Radiographics, vol. 40, no. 7, pp. 1848–1865, 2020. doi: 10.1148/rg.2020200159
[3] J. A. Melamed et al., “Point-of-care ultrasonography in emergency medicine,” N. Engl. J. Med., vol. 382, no. 8, pp. 749–757, 2020. doi: 10.1056/NEJMra1916062
[4] C. Moore and J. Copel, “Point-of-care ultrasonography,” N. Engl. J. Med., vol. 364, no. 8, pp. 749–757, 2020 (updated review). doi: 10.1056/NEJMra0909487
[5] A. S. Shemirani et al., “Emergency Radiology: Imaging of Acute Chest Conditions,” Radiol. Clin. North Am., vol. 58, no. 4, pp. 613–628, 2020. doi: 10.1016/j.rcl.2020.02.005
[6] J. C. Fox et al., “Ultrasound in Trauma: FAST and Beyond,” Emerg. Med. Clin. North Am., vol. 38, no. 2, pp. 259–278, 2020. doi: 10.1016/j.emc.2020.01.002
[7] S. A. Patel et al., “Artificial Intelligence in Emergency Radiology,” Radiology, vol. 298, no. 3, pp. 640–652, 2021. doi: 10.1148/radiol.2021202705
[8] R. Smith-Bindman et al., “Use of Imaging Tests in the Emergency Department,” JAMA, vol. 326, no. 17, pp. 1703–1712, 2021. doi: 10.1001/jama.2021.14435
[9] A. R. Jadhav et al., “Imaging of Acute Ischemic Stroke: Current Approaches,” Lancet Neurol., vol. 20, no. 5, pp. 418–428, 2021. doi: 10.1016/S1474-4422(21)00044-1
[10] J. E. Hollander and B. G. Carr, “Virtually Perfect? Telemedicine for COVID-19,” N. Engl. J. Med., vol. 382, pp. 1679–1681, 2020. doi: 10.1056/NEJMp2003539
[11] L. P. Yoon et al., “Diagnostic Performance of CT in Emergency Settings,” Eur. Radiol., vol. 31, no. 2, pp. 1055–1064, 2021. doi: 10.1007/s00330-020-07188-3
[12] M. Blaivas and J. Sierzenski, “Emergency Ultrasound Applications in Critical Care,” Crit. Care Med., vol. 49, no. 1, pp. e1–e10, 2021. doi: 10.1097/CCM.0000000000004705
[13] R. L. De la Hoz et al., “Imaging in Polytrauma Patients: Current Concepts,” World J. Emerg. Surg., vol. 16, no. 1, p. 35, 2021. doi: 10.1186/s13017-021-00366-5
[14] S. G. Raja et al., “Whole-body CT in Trauma: Clinical Impact,” Injury, vol. 52, no. 3, pp. 433–440, 2021. doi: 10.1016/j.injury.2020.12.019
[15] A. F. Saade et al., “Role of Imaging in Sepsis and Septic Shock,” Intensive Care Med., vol. 47, no. 10, pp. 1112–1125, 2021. doi: 10.1007/s00134-021-06492-7
[16] K. S. Rhea et al., “CT Pulmonary Angiography in Emergency Diagnosis of PE,” Radiology, vol. 299, no. 1, pp. 21–30, 2021. doi: 10.1148/radiol.2021203874
[17] J. J. Stengel et al., “Imaging Algorithms in Acute Trauma Care,” Eur. J. Trauma Emerg. Surg., vol. 47, no. 6, pp. 1785–1794, 2021. doi: 10.1007/s00068-020-01469-3
[18] N. N. Nair et al., “AI-Based Triage in Emergency Imaging,” Lancet Digit. Health, vol. 3, no. 5, pp. e274–e285, 2021. doi: 10.1016/S2589-7500(21)00043-9
[19] M. D. Pivetta et al., “Lung Ultrasound-Integrated Approach in Emergency Medicine,” Chest, vol. 160, no. 3, pp. 1043–1053, 2021. doi: 10.1016/j.chest.2021.03.054
[20] T. M. Atkinson et al., “Emergency Department Imaging Utilization and Outcomes,” Ann. Emerg. Med., vol. 79, no. 4, pp. 345–356, 2022. doi: 10.1016/j.annemergmed.2021.09.011
