Laser Surgery

Live 4D-OCT denoising with self-supervised deep learning.

By providing three-dimensional visualization of tissues and instruments at high resolution, live vol...

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

Traditional teaching suggests that prior pelvic operations, including prostatectomy, are a contraind...

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-invasiv...

Review of Robot-Assisted HIFU Therapy.

This paper provides an overview of current robot-assisted high-intensity focused ultrasound (HIFU) s...

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 (RA...

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 asso...

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 ur...

Vertical Nystagmus Recognition Based on Deep Learning.

Vertical nystagmus is a common neuro-ophthalmic sign in vestibular medicine. Vertical nystagmus not ...

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 ...

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 e...

Vision-Based Eye Image Classification for Ophthalmic Measurement Systems.

The accuracy and the overall performances of ophthalmic instrumentation, where specific analysis of ...

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 increa...

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...

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 surgi...

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...

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 infor...

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. ...

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 (P...

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 con...