Latest AI and machine learning research in surgery for healthcare professionals.
PURPOSE: The determination of an optimal pivot point ([Formula: see text]) is important for instrument manipulation in minimally invasive surgery. Such knowledge is of particular importance for robotic-assisted surgery where robots need to rotate precisely around a specific point in space in order to minimize trauma to the body wall while maintaining position control. Remote center of motion (RCM)...
PURPOSE: A global endoscopic view of the surgical field could help avoid complications such as perforation of occluded organs and may reduce the endoscope displacements and also the usual time of laparoscopic procedure using a conventional endoscopy system. An augmented laparoscopy system was developed by increasing the field of view of a traditional endoscope. This system was implemented and test...
Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has the potential to restore motor function by inducin...
Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for oropharyngeal cancer (OPC). A systematic review was conduc...
Traditionally T1-2N0 oropharyngeal carcinoma is treated with a single treatment modality, being either radiotherapy or surgery. Currently, minimally i...
OBJECTIVE: To report our experience using C-arm cone beam CT (C-arm CBCT) combined with the new remote operated positioning and guidance system, iSYS1...
BACKGROUND: Robotic-assisted thyroid surgery using a retroauricular approach was reported as a novel remote access technique for hemithyroidectomy. We...
Remote robotic systems operating over wireless networks must maintain reliable control despite limited communication resources, changing channel condi...
Vision foundation models (VFMs) are valuable in data-scarce domains such as surgery, where a single pretrained backbone can provide rich representatio...
Background. Routine service databases are attractive sources of training labels for clinical prediction models, but the processes that write those lab...
Large-scale training and refined optimization techniques have greatly improved sparse multi-view 3D reconstruction. Despite their relevance to surgery...
Automatic coding from clinical notes has been studied extensively for International Classification of Diseases (ICD) codes, yet broad Current Procedur...
Surgical video interpretation is a promising medical artificial intelligence application. However, no existing video annotation method preserves the s...
Surgical phase recognition is key to context-aware computer-assisted feedback in vitreoretinal procedures, yet the scarcity of synchronized multimodal...
Feed-forward 3D Gaussian Splatting reconstructs an explicit Gaussian representation from multiple input images in one network execution, making 3D rec...
Surgical video data provides the primary training resource for models of intraoperative perception, surgical workflow understanding, and robotic decis...
Preoperative planning for total hip arthroplasty (THA) is commonly framed as selecting a single prosthesis configuration and placement for a patient's...
Control variables are widely used in statistical modelling to account for omitted variable bias of known confounders. However, they have largely been ...
Background: Artificial intelligence (AI) systems for glaucoma diagnosis and prognostication from visual fields (VF) are under active development, yet ...
Background: Perioperative observational studies are increasingly used to evaluate anesthesia practices that are difficult to test in randomized trials...