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Endoscopy

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Minimally invasive trans-superior articular process percutaneous endoscopic lumbar discectomy with robot assistance.

BMC musculoskeletal disorders
BACKGROUND: To compare the clinical outcomes of patients with lumbar disc herniation treated with robot-assisted percutaneous endoscopic lumbar discectomy (r-PELD) or conventional PELD under fluoroscopy guidance (f-PELD).

Domain generalization improves end-to-end object detection for real-time surgical tool detection.

International journal of computer assisted radiology and surgery
PURPOSE: Computer assistance for endoscopic surgery depends on knowledge about the contents in an endoscopic scene. An important step of analysing the video contents is real-time surgical tool detection. Most methods for tool detection nevertheless d...

Automatic scoring of drug-induced sleep endoscopy for obstructive sleep apnea using deep learning.

Sleep medicine
BACKGROUND: Treatment of obstructive sleep apnea is crucial for long term health and reduced economic burden. For those considered for surgery, drug-induced sleep endoscopy (DISE) is a method to characterize location and pattern of sleep-related uppe...

Totally endoscopic non-robotic excision of aortic valve fibroelastoma: a case report.

Journal of cardiothoracic surgery
BACKGROUND: Papillary fibroelastomas (PFEs) are a rare subtype of benign primary cardiac tumours, which are most commonly found on the aortic valve. Although median sternotomy is still used frequently there has been different attempts to remove the a...

Diseased thyroid tissue classification in OCT images using deep learning: Towards surgical decision support.

Journal of biophotonics
Intraoperative guidance tools for thyroid surgery based on optical coherence tomography (OCT) could aid distinguish between normal and diseased tissue. However, OCT images are difficult to interpret, thus, real-time automatic analysis could support t...

Artificial intelligence and automation in endoscopy and surgery.

Nature reviews. Gastroenterology & hepatology
Modern endoscopy relies on digital technology, from high-resolution imaging sensors and displays to electronics connecting configurable illumination and actuation systems for robotic articulation. In addition to enabling more effective diagnostic and...

Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation.

IEEE transactions on medical imaging
Automatic surgical scene segmentation is fundamental for facilitating cognitive intelligence in the modern operating theatre. Previous works rely on conventional aggregation modules (e.g., dilated convolution, convolutional LSTM), which only make use...

Continuum robots for endoscopic sinus surgery: Recent advances, challenges, and prospects.

The international journal of medical robotics + computer assisted surgery : MRCAS
PURPOSE: Endoscopic sinus surgery (ESS) has been recognized as an effective treatment modality for paranasal sinus diseases. Over the past decade, continuum robots (CRs) for ESS have been studied, but there are still some challenges. This paper prese...

Optimal Deep Learning-Based Vocal Fold Disorder Detection and Classification Model on High-Speed Video Endoscopy.

Journal of healthcare engineering
The use of high-speed video-endoscopy (HSV) in the study of phonatory processes linked to speech needs the precise identification of vocal fold boundaries at the time of vibration. The HSV is a unique laryngeal imaging technology that captures intrac...