Latest AI and machine learning research in surgery for healthcare professionals.
Background Personalized medicine promises to tailor treatments to the individual, but it carries a h...
Catheter-based interventions are widely used for the diagnosis and treatment of cardiac diseases. Re...
Purpose: Monocular depth estimation (MDE) is vital for scene understanding in minimally invasive sur...
The D4D Dataset provides paired endoscopic video and high-quality structured-light geometry for eval...
Lower-grade gliomas (World Health Organization [WHO] grades 2-3) exhibit variable treatment response...
In laparoscopic liver surgery, augmented reality technology enhances intraoperative anatomical guida...
Preoperative improvement rate prediction for Parkinson's disease surgery is clinically important yet...
Clinically reliable perception of surgical scenes is essential for advancing intelligent, context-aw...
Objective Quantitative assessment of extent of tissue resection following epilepsy surgery requires ...
We present UniScale, a unified, scale-aware multi-view 3D reconstruction framework for robotic appli...
Accurate depth estimation plays a critical role in the navigation of endoscopic surgical robots, for...
Deep intracranial tumors situated in eloquent brain regions controlling vital functions present crit...
Accurate depth estimation plays a critical role in the navigation of endoscopic surgical robots, for...
Autonomous laparoscopic camera control must maintain a stable and safe surgical view under rapid too...
Vision-Language-Action (VLA) models have achieved significant breakthroughs by leveraging Large Visi...
Accurate and stable field-of-view (FoV) guidance is critical for safe and efficient minimally invasi...
Real-time reconstruction of deformable surgical scenes is vital for advancing robotic surgery, impro...
Brain tumours invade neural tissue, disrupting the functional organisation of neural networks. This ...
Artificial intelligence (AI) has increasingly transformed medical prognostics by enabling rapid and ...
Trocar ports are camera-fixed, pseudo-static structures that can persistently occlude laparoscopic v...
Accurate grasping point prediction is a key challenge for autonomous tissue manipulation in minimall...