State-of-the-art surgery is performed robotically under direct surgeon control. However, surgical outcome is limited by the availability, skill, and day-to-day performance of the operating surgeon. What will it take to improve surgical outcomes indep...
OBJECTIVE: Satisfied reduction of fracture is hard to achieve. The purpose of this study is to develop a virtual fracture reduction technique using conditional GAN (Generative Adversarial Network), and evaluate its performance in simulating and guidi...
PURPOSE OF REVIEW: To provide a primer for how augmented reality (AR)-guided surgical technology works at a fundamental level and discuss recent advances and limitations in a rapidly advancing field, including studies aiming to reduce current issues ...
Safely and accurately navigating needles percutaneously or endoscopically to sites deep within the body is essential for many medical procedures, from biopsies to localized drug deliveries to tumor ablations. The advent of image guidance decades ago ...
OBJECTIVES: In orthognathic surgery, preoperative three-dimensional soft-tissue simulations are frequently used to determine the desired jaw displacements to enhance the facial soft tissue. This study aimed to develop and validate a deep learning-bas...
Conventional navigation frameworks in orthopaedic surgery use optical tracking to localize objects in the surgical workspace. This approach demonstrates high precision, but requires implanting optical tracking arrays in patient anatomy, leading to in...
Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing
Jun 6, 2025
BACKGROUND: Artificial intelligence (AI)-guided spatiotemporal dispersion (stD) mapping has been shown to improve outcomes in patients with persistent atrial fibrillation (AF). However, the relationship between stD mapping and markers of atrial cardi...
Artificial Intelligence (AI) is transforming surgical education, playing a pivotal role in the era of digital surgery. This review, conducted from January 2023 to December 2024, examines the integration of AI into surgical training, focusing on its b...
Manual Small-Incision Cataract Surgery (SICS) is a prevalent technique in low- and middle-income countries (LMICs) but understudied with respect to computer assisted surgery. This prospective cross-sectional study introduces the first SICS video data...
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