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Point-of-Care Ultrasonography in the Critical Care Unit: An Update
Keith Guevarra1, Yonatan Greenstein2
1Department of Medicine, Division of Pulmonary and Critical Care Medicine, Rutgers - New Jersey Medical School, University Hospital Building, 150 Bergen Street, Newark, NJ, 07103, USA. Kpg42@njms.rutgers.edu.
Point-of-care ultrasonography (POCUS) is advancing with AI and improved imaging for better diagnostics. POCUS is now essential in critical care, including during cardiac arrest and for assessing volume status.
Area of Science:
- Medical Imaging
- Critical Care Medicine
- Diagnostic Technology
Background:
- Point-of-care ultrasonography (POCUS) is rapidly evolving, enhancing diagnostic capabilities in various clinical settings.
- Technological advancements are continuously improving image quality and introducing new applications for POCUS.
Purpose of the Study:
- To review recent updates and advancements in point-of-care ultrasonography.
- To highlight the expanding role and integration of POCUS in medical practice and training.
Main Methods:
- Review of current literature on point-of-care ultrasonography innovations.
- Analysis of emerging technologies and their clinical applications.
Main Results:
- POCUS is improving diagnostic accuracy and image quality through AI integration and advanced modalities like Doppler in lung ultrasonography.
- Transesophageal echocardiography is emerging as a valuable alternative for difficult imaging cases.
- POCUS plays a critical role in managing cardiac arrest and assessing volume status with tools like the VExUS Grading System.
- The clinical utility of POCUS was further validated during the COVID-19 pandemic.
Conclusions:
- POCUS is an indispensable diagnostic tool and guide for medical management, with its importance underscored by recent global health events.
- Competency in POCUS is now a mandatory requirement for Critical Care fellowship training, reflecting its significance.
- Continued technological integration, particularly AI, promises to further enhance POCUS capabilities for quantitative assessments and image optimization.
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