Latest AI and machine learning research in surgery for healthcare professionals.
We present mean-shift distillation, a novel diffusion distillation technique that provides a provably good proxy for the gradient of the diffusion output distribution. This is derived directly from mean-shift mode seeking on the distribution, and we show that its extrema are aligned with the modes. We further derive an efficient product distribution sampling procedure to evaluate the gradient. O...
Robot positioning accuracy is a key factory when performing high-precision manufacturing tasks. To effectively improve the accuracy of a manipulator, often up to a value close to its repeatability, calibration plays a crucial role. In the literature, various approaches to robot calibration have been proposed, and they range considerably in the type of measurement system and identification algori...
Purpose: Comprehensive legal medicine documentation includes both an internal but also an external examination of the corpse. Typically, this docume...
Nasopharyngeal carcinoma (NPC) patients often undergo radiotherapy and chemotherapy, which can lead to postoperative complications such as limited m...
Background: Mutations in KMT2B are a recognized cause of early-onset complex dystonia, with deep brain stimulation (DBS) of the internal globus pall...
Objective motor skill assessment plays a critical role in fields such as surgery, where proficiency is vital for certification and patient safety. E...
Predicting medical events in advance within critical care settings is paramount for patient outcomes and resource management. Utilizing predictive m...
Autonomous robotic wiping is an important task in various industries, ranging from industrial manufacturing to sanitization in healthcare. Deep rein...
In the era of Large Language Models (LLMs), embodied artificial intelligence presents transformative opportunities for robotic manipulation tasks. U...
How should one jointly design tests and the arrangement of agencies to administer these tests (testing procedure)? To answer this question, we analy...
The multi-modality imaging system offers optimal fused images for safe and precise interventions in modern clinical practices, such as computed tomo...
Recent advancements in machine learning (ML) and deep learning (DL), particularly through the introduction of foundational models (FMs), have signif...
Multi-View Photometric Stereo (MVPS) is a popular method for fine-detailed 3D acquisition of an object from images. Despite its outstanding results ...
Humans possess an extraordinary ability to understand and execute complex manipulation tasks by interpreting abstract instruction manuals. For robot...
Automated colonoscopy reporting holds great potential for enhancing quality control and improving cost-effectiveness of colonoscopy procedures. A ma...
Automating surgical systems enhances precision and safety while reducing human involvement in high-risk environments. A major challenge in automatin...
The bicuspid aortic valve (BAV) is the most prevalent congenital heart defect and may require surgery for complications such as stenosis, regurgitat...
In systems control, the dynamics of a system are governed by modulating its inputs to achieve a desired outcome. For example, to control the thrust ...
The hemorrhagic lesion segmentation plays a critical role in ophthalmic diagnosis, directly influencing early disease detection, treatment planning,...
Vision-language models (VLMs) have achieved remarkable success in scene understanding and perception tasks, enabling robots to plan and execute acti...