Laser Surgery

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 com...

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 popul...

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...

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 formi...

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 t...

Performance of an Artificial Intelligence Chatbot in Ophthalmic Knowledge Assessment.

IMPORTANCE: ChatGPT is an artificial intelligence (AI) chatbot that has significant societal implica...

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 (> ...

Solving data quality issues of fundus images in real-world settings by ophthalmic AI.

Liu et al. develop a deep-learning-based flow cytometry-like image quality classifier, DeepFundus, f...

Non-invasive localization of post-infarct ventricular tachycardia exit sites to guide ablation planning: a computational deep learning platform utilizing the 12-lead electrocardiogram and intracardiac electrograms from implanted devices.

AIMS: Existing strategies that identify post-infarct ventricular tachycardia (VT) ablation target ei...

Through the eyes into the brain, using artificial intelligence.

INTRODUCTION: Detection of neurological conditions is of high importance in the current context of i...

Technology description, initial experience and first impression of HUGO™ RAS robot platform in urologic procedures in Brazil.

Importance and use of corneal biomechanics and its diagnostic utility.

The study of corneal biomechanics has become relevant in recent years due to its possible applicatio...

The Use of a Novel Artificial Intelligence Platform for the Evaluation of Rhytids.

BACKGROUND: Artificial intelligence (AI) platforms are increasingly being utilized in various health...

A Framework for Automating Psychiatric Distress Screening in Ophthalmology Clinics Using an EHR-Derived AI Algorithm.

PURPOSE: In patients with ophthalmic disorders, psychosocial risk factors play an important role in ...

[Research progress of ophthalmic surgery robots].

Ophthalmic surgery has the characteristics of high precision, small operating range, need of microsc...

A Novel Microsurgical Robot: Preliminary Feasibility Test in Ophthalmic Field.

PURPOSE: This study investigated the feasibility and potential advantage of using a new microsurgica...

AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline.

PURPOSE: To externally validate a deep learning pipeline (AutoMorph) for automated analysis of retin...

MVD-Net: Semantic Segmentation of Cataract Surgery Using Multi-View Learning.

Semantic segmentation of surgery scenarios is a fundamental task for computer-aided surgery systems....

A deep-learning system predicts glaucoma incidence and progression using retinal photographs.

BackgroundDeep learning has been widely used for glaucoma diagnosis. However, there is no clinically...