Abstract
Medical augmented reality (AR) is revolutionizing surgical navigation by providing real-time, interactive visualizations that enhance surgical precision and decision-making. This paper explores the integration of deep learning techniques with medical AR for surgical navigation. Deep learning enables AR systems to interpret complex surgical environments, improve image registration, and enhance the overlay of digital information onto the surgical field. This paper reviews recent advancements in deep learning-based medical AR, discusses challenges and future directions, and highlights the potential impact of these technologies on surgical outcomes.
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