Laser Surgery

High-precision retinal blood vessel segmentation based on a multi-stage and dual-channel deep learning network.

The high-precision segmentation of retinal vessels in fundus images is important for the early diagn...

Artificial intelligence in retinal imaging: current status and future prospects.

INTRODUCTION: The steadily growing and aging world population, in conjunction with continuously incr...

Artificial Intelligence-based quantitative evaluation of retinal vascular parameters in thyroid-associated ophthalmopathy.

PURPOSE: Thyroid-associated ophthalmopathy (TAO) may result in increased metabolism and abnormalitie...

Validation of a Zero-shot Learning Natural Language Processing Tool to Facilitate Data Abstraction for Urologic Research.

BACKGROUND: Urologic research often requires data abstraction from unstructured text contained withi...

Reliability and accuracy of artificial intelligence ChatGPT in providing information on ophthalmic diseases and management to patients.

PURPOSE: To assess the accuracy of ophthalmic information provided by an artificial intelligence cha...

Fiberbots: Robotic fibers for high-precision minimally invasive surgery.

Precise manipulation of flexible surgical tools is crucial in minimally invasive surgical procedures...

Point-of-care diagnosis of tissue fibrosis: a review of advances in vibrational spectroscopy with machine learning.

Histopathology is the gold standard for diagnosing fibrosis, but its routine use is constrained by t...

Long-term results of ablation index guided atrial fibrillation ablation: insights after 5+ years of follow-up from the MPH AF Ablation Registry.

BACKGROUND: Catheter ablation (CA) for symptomatic atrial fibrillation (AF) offers the best outcomes...

Harnessing the Power of Artificial Intelligence in Dermatology: A Comprehensive Commentary.

This special article provides a comprehensive commentary on the significant role of artificial intel...

Survival Analysis for Multimode Ablation Using Self-Adapted Deep Learning Network Based on Multisource Features.

Novel multimode thermal therapy by freezing before radio-frequency heating has achieved a desirable ...

ChatGPT and Beyond: An overview of the growing field of large language models and their use in ophthalmology.

ChatGPT, an artificial intelligence (AI) chatbot built on large language models (LLMs), has rapidly ...

Automated Retinal Vessel Analysis Based on Fundus Photographs as a Predictor for Non-Ophthalmic Diseases-Evolution and Perspectives.

The study of retinal vessels in relation to cardiovascular risk has a long history. The advent of a ...

Response to 'Deep learning in ophthalmic ultrasound to enable further insights in Spaceflight Associated Neuro-Ocular Syndrome (SANS)'.

Deep learning in ophthalmic and orbital ultrasound for spaceflight associated neuro-ocular syndrome (SANS).

AI-powered real-time annotations during urologic surgery: The future of training and quality metrics.

INTRODUCTION AND OBJECTIVE: Real-time artificial intelligence (AI) annotation of the surgical field ...

Hydrodissection to create conjunctival flaps in dogs with corneal ulcers.

BACKGROUND AND AIM: Hydrodissection is a liquid injection technique that is rarely used in animal op...

ChatGPT offers an editorial on the opportunities for chatbots in dermatologic research and patient care.

ChatGPT is a chatbot developed by OpenAI, an artificial intelligence research laboratory, that is tr...

Single port (SP) robotic pyeloplasty in a pediatric patient.

We began using the da Vinci single port (SP) robot for pediatric urologic surgeries at our instituti...

Deep Learning Assisted Imaging Methods to Facilitate Access to Ophthalmic Telepathology.

PURPOSE: To investigate the use of super-resolution imaging techniques to enable telepathology using...

A Phase 2 Trial to Test Safety and Efficacy of ST-100, a Unique Collagen Mimetic Peptide Ophthalmic Solution for Dry Eye Disease.

OBJECTIVE: Dry eye disease (DED) is a worldwide source of ocular discomfort. This first-in-human pha...

Development and evaluation of multimodal AI for diagnosis and triage of ophthalmic diseases using ChatGPT and anterior segment images: protocol for a two-stage cross-sectional study.

INTRODUCTION: Artificial intelligence (AI) technology has made rapid progress for disease diagnosis ...