Laser Surgery

Automated Abnormality Detection in Patient Retinal Function: A Deep Learning-Powered Electroretinogram Analysis System.

The electroretinogram (ERG) is an ophthalmic electrophysiology test designed to objectively measure the electrical response of the photoreceptor cells in the human retina. The analysis of the ERG is highly useful in evaluating various retinal diseases arising from both inherited and acquired disorders. However, analyzing ERG test results can be a time-intensive process for electrophysiologists, re...

Bedside Admittance Control of a Dual-Segment Soft Robot for Catheter-Based Interventions.

Robotic catheters enable precise steering of their distal tip while inside the body's blood vessels, and with this ability comes the need for control systems that fit into the clinical workflow. In this study, we propose a novel bedside admittance controller composed of a force/torque sensor with a 3D-printed handle and a low-profile table mount. The controller is intended to be placed at the inse...

[Challenges and prospects in the application of artificial intelligence for ocular disease screening and diagnosis].

In recent years, artificial intelligence (AI) technologies have experienced substantial growth across various sectors, with significant strides made p...

Deep-Learning Approach for Tissue Classification using Acoustic Waves during Ablation with an Er:YAG Laser (Updated)

Today's mechanical tools for bone cutting (osteotomy) cause mechanical trauma that prolongs the healing process. Medical device manufacturers aim to...

THE ABILITY OF ARTIFICIAL INTELLIGENCE CHATBOTS ChatGPT AND GOOGLE BARD TO ACCURATELY CONVEY PREOPERATIVE INFORMATION FOR PATIENTS UNDERGOING OPHTHALMIC SURGERIES.

INTRODUCTION: To determine whether the two popular artificial intelligence chatbots, ChatGPT and Bard, can provide high-quality information concerning...

Validation of a machine learning algorithm to identify pulmonary vein isolation during ablation procedures for the treatment of atrial fibrillation: results of the PVISION study.

AIMS: Pulmonary vein isolation (PVI) is the cornerstone of ablation for atrial fibrillation. Confirmation of PVI can be challenging due to the presenc...

Applications of artificial intelligence in urologic oncology.

PURPOSE: With the recent rising interest in artificial intelligence (AI) in medicine, many studies have explored the potential and usefulness of AI in...

Evaluating the Performance of Large Language Models for Named Entity Recognition in Ophthalmology Clinical Free-Text Notes.

This study compared large language models (LLMs) and Bidirectional Encoder Representations from Transformers (BERT) models in identifying medication n...

An Artificial Intelligence Driven Approach for Classification of Ophthalmic Images using Convolutional Neural Network: An Experimental Study.

BACKGROUND: Early disease detection is emphasized within ophthalmology now more than ever, and as a result, clinicians and innovators turn to deep lea...

Reducing Ophthalmic Health Disparities Through Transfer Learning: A Novel Application to Overcome Data Inequality.

PURPOSE: Race disparities in the healthcare system and the resulting inequality in clinical data among different races hinder the ability to generate ...

Skin Changes in Suspected Lyme Disease.

Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthcare issue both in Croatia and globally. Although m...

Validating the Generalizability of Ophthalmic Artificial Intelligence Models on Real-World Clinical Data.

PURPOSE: This study aims to investigate generalizability of deep learning (DL) models trained on commonly used public fundus images to an instance of ...

Evaluation and Comparison of Ophthalmic Scientific Abstracts and References by Current Artificial Intelligence Chatbots.

IMPORTANCE: Language-learning model-based artificial intelligence (AI) chatbots are growing in popularity and have significant implications for both p...

Feasibility Study: Towards a Robot-Assisted Gait Training in Ophthalmological Rehabilitation.

The idea of using mobile assistance robots for gait training in rehabilitation has been increasingly explored in recent years due to the associated be...

Performance of an Upgraded Artificial Intelligence Chatbot for Ophthalmic Knowledge Assessment.

Modelling and Development of a Mechanical Eye for the Evaluation of Robotic Systems for Surgery.

Ophthalmic surgery, which addresses critical eye diseases such as retinal disorders, remains a formidable and arduous surgical pursuit. Nevertheless, ...

Multi-class Tissue Segmentation of CT images using an Ensemble Deep Learning method.

Microwave ablation (MWA) therapy is a well-known technique for locally destroying lung tumors with the help of computed tomography (CT) images. Howeve...

Performance of an Artificial Intelligence Chatbot in Ophthalmic Knowledge Assessment.

IMPORTANCE: ChatGPT is an artificial intelligence (AI) chatbot that has significant societal implications. Training curricula using AI are being devel...

What Artificial Intelligence Chatbots Mean for Editors, Authors, and Readers of Peer-Reviewed Ophthalmic Literature.

[Robot-assisted Simple Prostatectomy (RASP)].

Robot-assisted Simple Prostatectomy (RASP) Surgical treatment of large adenomas of the prostate (> 80g) in men suffering from symptomatic prostate hy...