Latest AI and machine learning research in surgery for healthcare professionals.
Esophageal cancer remains a highly aggressive malignancy with low survival rates, requiring advanced surgical interventions like esophagectomy. Traditional manual techniques, including circular staplers, face challenges such as limited precision, prolonged recovery times, and complications like leaks and tissue misalignment. This paper presents a novel robotic circular stapler designed to enhanc...
To meet the growing demand for systematic surgical training, wetlab environments have become indispensable platforms for hands-on practice in ophthalmology. Yet, traditional wetlab training depends heavily on manual performance evaluations, which are labor-intensive, time-consuming, and often subject to variability. Recent advances in computer vision offer promising avenues for automated skill a...
Generative modeling-based visuomotor policies have been widely adopted in robotic manipulation attributed to their ability to model multimodal actio...
Recent advancements in generative models have revolutionized video synthesis and editing. However, the scarcity of diverse, high-quality datasets co...
Surgical video understanding is pivotal for enabling automated intraoperative decision-making, skill assessment, and postoperative quality improveme...
Effective evaluation is critical for driving advancements in MLLM research. The surgical action planning (SAP) task, which aims to generate future a...
Endoscopic surgery is the gold standard for robotic-assisted minimally invasive surgery, offering significant advantages in early disease detection ...
Learning to control high-speed objects in the real world remains a challenging frontier in robotics. Table tennis serves as an ideal testbed for thi...
Robotic manipulation of unseen objects via natural language commands remains challenging. Language driven robotic grasping (LDRG) predicts stable gr...
While traditional computer vision models have historically struggled to generalize to endoscopic domains, the emergence of foundation models has sho...
Intraoperative navigation relies heavily on precise 3D reconstruction to ensure accuracy and safety during surgical procedures. However, endoscopic ...
When developing control laws for robotic systems, the principle factor when examining their performance is choosing inputs that allow smooth trackin...
Computer-Assisted Intervention (CAI) has the potential to revolutionize modern surgery, with surgical scene understanding serving as a critical comp...
Foundation models have achieved transformative success across biomedical domains by enabling holistic understanding of multimodal data. However, the...
Postoperative stroke remains a critical complication in elderly surgical intensive care unit (SICU) patients, contributing to prolonged hospitalizat...
Craniosynostosis is a medical condition that affects the growth of babies' heads, caused by an early fusion of cranial sutures. In recent decades, s...
Learning effective visuomotor policies for robotic manipulation is challenging, as it requires generating precise actions while maintaining computat...
Surgical triplet detection has emerged as a pivotal task in surgical video analysis, with significant implications for performance assessment and th...
Gallbladder cancer has an insidious onset,and most of the cases are in advanced stage at the time of diagnosis,with unfavorable prognosis. Radical sur...
OBJECTIVE: Software engineering innovations have led to the development of virtual surgical planning software (VSPS) for deformity correction. VSPS us...