Laser Surgery

No prostate? No problem: robotic inguinal hernia repair after prostatectomy.

Traditional teaching suggests that prior pelvic operations, including prostatectomy, are a contraindication to laparoscopic inguinal hernia repair. Despite the growing use of robotic platforms in inguinal hernia repair, there are few studies describing robotic-assisted inguinal hernia repairs (RIHR) in this patient population. This study aims to demonstrate that RIHR is safe and effective in repai...

And then there was one … incision. First single-port pediatric robotic case series.

BACKGROUND: In the past two decades, technology has advanced to augment an already minimally-invasive approach in laparoscopic surgery. Robotic-assisted laparoscopic platforms have now evolved to its 4th-generation product: a single-port system, first cleared through the FDA for urologic procedures last year. A single, 2.5 cm incision allows for placement of a port that admits a fully-wristed came...

Review of Robot-Assisted HIFU Therapy.

This paper provides an overview of current robot-assisted high-intensity focused ultrasound (HIFU) systems for image-guided therapies. HIFU is a minim...

ROBOT Assisted Laparoscopic Surgeries For Nononcological Urologic Disease: Initial Experience With Hugo Ras System.

OBJECTIVE: To report our initial experience with the use of HUGO Robotic Assisted Surgery System (RAS) for nononcological urologic disease.

Automatic vessel crossing and bifurcation detection based on multi-attention network vessel segmentation and directed graph search.

Analysis of the vascular tree is the basic premise to automatically diagnose retinal biomarkers associated with ophthalmic and systemic diseases, amon...

Text-to-image artificial intelligence to aid clinicians in perceiving unique neuro-ophthalmic visual phenomena.

Robot-Assisted Simple Prostatectomy: A Comparison of Primary Simple Prostatectomy Salvage Simple Prostatectomy in Treatment of Lower Urinary Tract Symptoms.

Simple prostatectomy is indicated in patients with enlarged glands (>80 ) who present with lower urinary tract symptoms (LUTS) attributed to benign p...

Vertical Nystagmus Recognition Based on Deep Learning.

Vertical nystagmus is a common neuro-ophthalmic sign in vestibular medicine. Vertical nystagmus not only reflects the functional state of vertical sem...

Early detection of visual impairment in young children using a smartphone-based deep learning system.

Early detection of visual impairment is crucial but is frequently missed in young children, who are capable of only limited cooperation with standard ...

Pediatric robotic urologic surgery: Pyeloplasty and ureteral reimplantation.

Real-time fundus reconstruction and intraocular mapping using an ophthalmic endoscope.

BACKGROUND: Robotic ophthalmic endoscope holders allow surgeons to execute dual-hand operations in eye surgery. To prevent needle-like endoscopes from...

Vision-Based Eye Image Classification for Ophthalmic Measurement Systems.

The accuracy and the overall performances of ophthalmic instrumentation, where specific analysis of eye images is involved, can be negatively influenc...

A Deep-Learning-Based Collaborative Edge-Cloud Telemedicine System for Retinopathy of Prematurity.

Retinopathy of prematurity is an ophthalmic disease with a very high blindness rate. With its increasing incidence year by year, its timely diagnosis ...

Identification of ocular refraction based on deep learning algorithm as a novel retinoscopy method.

BACKGROUND: The evaluation of refraction is indispensable in ophthalmic clinics, generally requiring a refractor or retinoscopy under cycloplegia. Ret...

Robot-Assisted Radical Nephrectomy Using the Novel Avatera Robotic Surgical System: A Feasibility Study in a Porcine Model.

To evaluate the feasibility and intraoperative technical parameters of the new robot-assisted surgical system Avatera by performing bilateral nephrec...

Patch-based CNN for corneal segmentation of AS-OCT images: Effect of the number of classes and image quality upon performance.

Anterior segment optical coherence tomography (AS-OCT) is a fundamental ophthalmic imaging technique. AS-OCT images can be examined by experts and seg...

Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation.

In this work, we investigate the use of three information-theoretic quantities-entropy, mutual information with the class variable, and a class select...

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography.

Recently, deep learning-based segmentation models have been widely applied in the ophthalmic field. This study presents the complete process of constr...

Percutaneous Ablation Robot-Assisted Partial Nephrectomy for Completely Endophytic Renal Masses: A Multicenter Trifecta Analysis with a Minimum 3-Year Follow-Up.

To compare outcomes of robot-assisted partial nephrectomy (RAPN) and percutaneous tumor ablation (PTA) for completely endophytic renal masses. Data ...

Deep learning model based on contrast-enhanced ultrasound for predicting early recurrence after thermal ablation of colorectal cancer liver metastasis.

OBJECTIVES: To develop and validate a deep learning (DL) model based on quantitative analysis of contrast-enhanced ultrasound (CEUS) images that predi...