AIMC Topic: Ophthalmology

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Current state and future prospects of artificial intelligence in ophthalmology: a review.

Clinical & experimental ophthalmology
Artificial intelligence (AI) has emerged as a major frontier in computer science research. Although AI has broad application across many medical fields, it will have particular utility in ophthalmology and will dramatically change the diagnostic and ...

The current state of artificial intelligence in ophthalmology.

Survey of ophthalmology
Artificial intelligence (AI) is a branch of computer science that deals with the development of algorithms that seek to simulate human intelligence. We provide an overview of the basic principles in AI that are essential to the understanding of AI an...

Deep learning in ophthalmology: a review.

Canadian journal of ophthalmology. Journal canadien d'ophtalmologie
Deep learning is an emerging technology with numerous potential applications in Ophthalmology. Deep learning tools have been applied to different diagnostic modalities including digital photographs, optical coherence tomography, and visual fields. Th...

Open Globe Injury Patient Identification in Warfare Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium
The aim of this study is to utilize the Defense and Veterans Eye Injury and Vision Registry clinical data derived from DoD and VA medical systems which include documentation of care while in combat, and develop methods for comprehensive and reliable ...

Electroforming of implantable tubular magnetic microrobots for wireless ophthalmologic applications.

Advanced healthcare materials
Magnetic tubular implantable micro-robots are batch fabricated by electroforming. These microdevices can be used in targeted drug delivery and minimally invasive surgery for ophthalmologic applications. These tubular shapes are fitted into a 23-gauge...

From visual question answering to intelligent AI agents in ophthalmology.

The British journal of ophthalmology
Ophthalmic practice involves the integration of diverse clinical data and interactive decision-making, posing challenges for traditional artificial intelligence (AI) systems. Visual question answering (VQA) addresses this by combining computer vision...

Application of real-time artificial intelligence to cataract surgery.

The British journal of ophthalmology
BACKGROUND/AIMS: Artificial intelligence (AI) in Ophthalmology has yet to be applied to real-time cataract surgery. This work explores a new AI tool, developed for phacoemulsification, and evaluates its potential uses.First, our study aimed to demons...

Artificial intelligence versus ophthalmology experts: Comparative analysis of responses to blepharitis patient queries.

European journal of ophthalmology
ObjectiveTo assess the accuracy and clinical education value of responses from AI models (GPT-3.5, GPT-4o, Gemini, Gemini Advanced) compared to expert ophthalmologists' answers to common patient questions about blepharitis, and evaluate their potenti...

Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputs.

International journal of medical informatics
INTRODUCTION: Advances in artificial intelligence offer the promise of automated analysis of optical coherence tomography (OCT) scans to detect ocular complications from anticancer drug therapy. To explore how such AI outputs are interpreted in clini...

Performance of ChatGPT-4 Omni and Gemini 1.5 Pro on Ophthalmology-Related Questions in the Turkish Medical Specialty Exam.

Turkish journal of ophthalmology
OBJECTIVES: To evaluate the response and interpretative capabilities of two pioneering artificial intelligence (AI)-based large language model (LLM) platforms in addressing ophthalmology-related multiple-choice questions (MCQs) from Turkish Medical S...