Latest AI and machine learning research in surgery for healthcare professionals.
Robotic joint surgery (RJS) has demonstrated high precision and reproducibility in total hip and knee arthroplasty,the integration of artificial intelligence(AI) has further enhanced the intelligence level of key processes,including surgical planning,registration,surgical manipulator control,and robot autonomy. AI-powered surgical planning improves implant positioning accuracy through deep learnin...
AIMS: To develop a transformer-based generative adversarial network (trans-GAN) that can generate synthetic material decomposition images from single-energy CT (SECT) for real-time detection of intracranial hemorrhage (ICH) after endovascular thrombectomy.
Evaluating neurological impairments post-stroke is essential for assessing treatment efficacy and managing subsequent disabilities. Conventional clini...
We live in a world where robots can operate with a level of precision that is hard for humans to match, and robotic laparoscopic surgery has become fa...
Artificial intelligence (AI) models are being increasingly applied to modern medicine. Within the field of urology, reproductive urology specifically ...
BACKGROUND: Radical gastrectomy with D2 lymphadenectomy is standard surgical protocol for locally advanced gastric cancer. The surgical experience and...
BACKGROUND: Robotic data streams allow for capture of objective performance indicators, providing the ability to quantify and analyse operator techniq...
In image-guided liver surgery, the initial rigid alignment between preoperative and intraoperative data, often represented as point clouds, is cruci...
Cerebral hemorrhage is a serious cerebrovascular disease with high morbidity and high mortality, for which timely diagnosis and treatment are crucial....
Electrical impedance tomography (EIT) is a non-invasive imaging technique, capable of reconstructing images of the electrical conductivity of tissue...
Focused ultrasound (FUS) therapy is a promising tool for optimally targeted treatment of spinal cord injuries (SCI), offering submillimeter precisio...
Although advances in brain surgery techniques have led to fewer postoperative complications requiring Intensive Care Unit (ICU) monitoring, the rout...
Intracranial hemorrhage (ICH) refers to the leakage or accumulation of blood within the skull, which occurs due to the rupture of blood vessels in o...
Medical video generation has transformative potential for enhancing surgical understanding and pathology insights through precise and controllable v...
Presented is a path towards a fast and robust adaptive anisotropic mesh generation method that is designed to help streamline the discretization of ...
In recent years, the application of machine learning to minimally invasive surgery (MIS) has attracted considerable interest. Datasets are critical ...
Estimating physical properties for visual data is a crucial task in computer vision, graphics, and robotics, underpinning applications such as augme...
The risk-controlling prediction sets (RCPS) framework is a general tool for transforming the output of any machine learning model to design a predic...
Orthognathic surgery consultation is essential to help patients understand the changes to their facial appearance after surgery. However, current vi...
Recent advances in robotic foundation models have enabled the development of generalist policies that can adapt to diverse tasks. While these models...