Latest AI and machine learning research in surgery for healthcare professionals.
In recent years, robots have been gradually applied in the field of oral implantation. Compared with...
Intracranial Hemorrhage is a potentially lethal condition whose manifestation is vastly diverse an...
Purpose To develop a highly generalizable weakly supervised model to automatically detect and locali...
PURPOSE: To investigate the effects of deep learning reconstruction on depicting arteries and provid...
OBJECTIVE: Maximizing safe resection in neuro-oncology has become paramount to improving patient sur...
PURPOSE: Semantic segmentation is a fundamental part of the surgical application of deep learning. T...
Artificial intelligence (AI) is increasingly significant in neurosurgery, enhancing differential dia...
BACKGROUND: Gallbladder cancer is often associated with poor prognosis, especially when patients exp...
Machine learning techniques have enabled researchers to leverage neuroimaging data to decode speec...
Testing autonomous robotic manipulators is challenging due to the complex software interactions be...
Autonomous surgical robots have demonstrated significant potential to standardize surgical outcome...
The mechanical competence and suturing ability of collagen-based membranes are paramount in Guided...
Importance: Many individuals with drug-resistant epilepsy continue to have seizures after resectiv...
Robots-based smart pharmacies are essential for modern healthcare systems, enabling efficient drug...
Surgical robot is the national strategic diagnostic and therapeutic equipment research focus, get a ...
Reoperation is the most significant complication following any surgical procedure. Developing machin...
Ischemic stroke (IS) is a leading cause of adult disability that can severely compromise the quality...
Finite element method applications are a common approach to simulate a handful of phenomena but ca...
Vision-based surgical navigation has received increasing attention due to its non-invasive, cost-e...
PURPOSE: The purpose of this study was to develop deep learning models for surgical video analysis, ...
BACKGROUND: Near-infrared indocyanine green angiography allows experienced surgeons to reliably eval...