Augmented Reality in Interventional Radiology: Transforming Training Paradigms

Abstract

The ascent of medical technology places augmented reality (AR) at the forefront of potential advancements in interventional radiology (IR) training. This review delves into the symbiotic relationship between AR and conventional IR training, casting light on the opportunities and hurdles intrinsic to this integration. A targeted literature review was conducted using the databases PubMed, Cochrane Library, and Embase. Search terms included (((“Augmented Reality” OR “Virtual Reality”)) AND ((Education OR Training))) AND ((“Interventional Radiology”)). Ten studies identified using the comprehensive inclusion criteria helped scrutinize the use of AR in IR training. Key outcomes include improved procedural accuracy, reduced training duration, and heightened trainee confidence. However, it also identifies limitations such as small sample sizes, reliance on simulation environments, and technological constraints in AR implementation. Despite these challenges, the review underscored the transformative potential of AR in IR education, suggesting its capacity to revolutionize training methodologies. However, it also calls for continued technological development and empirical research to address current challenges and fully leverage AR's capabilities in medical education.

Exploring Augmented Reality Integration in Diagnostic Imaging: Myth or Reality?

“…AR holds promise as a transformative technology, particularly in the field of diagnostic imaging, offering clinicians powerful tools to improve patient care and outcomes [18][19][20][21][22].…”

“…In the realm of interventional radiology (IR) training, where imaging is also crucial, the synergistic relationship between AR and conventional training methodologies has been a subject of increasing interest [21]. Despite challenges such as small sample sizes and technological constraints, studies have demonstrated the potential of AR to improve procedural accuracy, reduce training duration, and boost trainee confidence [21].…”

“…Furthermore, personalized medicine and surgical precision emerge as pivotal realms where AR demonstrates significant promise [41,44,49,[54][55][56]. By amalgamating patientspecific data and anatomical models into the surgical workflow, AR facilitates tailored treatment strategies that optimize outcomes and mitigate risks [21,24,29,[34][35][36]. Real-time feedback on instrument positioning and tissue manipulation further enhances surgical precision, paving the way for more accurate interventions.…”