Latest AI and machine learning research in surgery for healthcare professionals.
Accurate modeling of tool-tissue interactions in robotic surgery requires precise tracking of deformable tissues and integration of surgical domain knowledge. Traditional methods rely on labor-intensive annotations or rigid assumptions, limiting flexibility. We propose a framework combining sparse keypoint tracking and probabilistic modeling that propagates expert-annotated landmarks across endo...
Camera-based tactile sensors provide robots with a high-performance tactile sensing approach for environment perception and dexterous manipulation. However, achieving comprehensive environmental perception still requires cooperation with additional sensors, which makes the system bulky and limits its adaptability to unstructured environments. In this work, we present a vision-enhanced camera-bas...
In robot-assisted laparoscopic radical prostatectomy (RALP), the location of the instrument tip is important to register the ultrasound frame with t...
The use of Augmented Reality (AR) devices for surgical guidance has gained increasing traction in the medical field. Traditional registration method...
Refractive error is a significant factor contributing to visual impairment, imposing a relatively large burden on the social economy. Although refract...
We introduce a novel decision procedure for solving the class of position string constraints, which includes string disequalities, not-prefixof, not...
Recording the open surgery process is essential for educational and medical evaluation purposes; however, traditional single-camera methods often fa...
Large-scale egocentric video datasets capture diverse human activities across a wide range of scenarios, offering rich and detailed insights into ho...
BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with hepatitis B because of the risk of life-threatening ...
Postoperative delirium (POD), a severe neuropsychiatric complication affecting nearly 50% of high-risk surgical patients, is defined as an acute dis...
Subretinal injection is a critical procedure for delivering therapeutic agents to treat retinal diseases such as age-related macular degeneration (A...
Modeling and forecasting interval-valued time series (ITS) have attracted considerable attention due to their growing presence in various contexts. ...
Diffusion models are widely used for image editing tasks. Existing editing methods often design a representation manipulation procedure by curating ...
Large Vision-Language Models offer a new paradigm for AI-driven image understanding, enabling models to perform tasks without task-specific training...
Background: Artificial Intelligence (AI) clinical decision support (CDS) systems have the potential to augment surgical risk assessments, but succes...
Robust low-rank approximation under row-wise adversarial corruption can be achieved with a single pass, randomized procedure that detects and remove...
Visual Language Models (VLMs) have emerged as pivotal tools for robotic systems, enabling cross-task generalization, dynamic environmental interacti...
Most recent diffusion-based methods still show a large gap compared to non-diffusion methods for video frame interpolation, in both accuracy and eff...
The robotic surgical system is a comprehensive system integrating multiple modern high technologies. Its application has ushered in a new era of intel...
Generative Artificial Intelligence (AI) is enabling unprecedented automation in content creation and decision support, but it also raises novel risk...