Latest AI and machine learning research in laser surgery for healthcare professionals.
OBJECTIVE: To develop and validate machine learning (ML) models for predicting cycloplegic spherical...
The objective of this study is to enhance the understanding of ophthalmic disease physiology and gen...
Generative adversarial networks (GANs), introduced by Ian Goodfellow in 2014, have revolutionized ad...
INTRODUCTION: Artificial intelligence (AI) shows promise in ophthalmology, but its potential in tert...
Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morb...
: The rate of recurrence after ablation for atrial fibrillation (AF) is considerable. Risk stratific...
BACKGROUND: Artificial intelligence (AI) is increasingly used in health care and has the potential t...
BACKGROUND: Idiopathic macular hole is an ophthalmic disease that seriously affects vision, and its ...
Minimally invasive surgery involves entering the body through small incisions or natural orifices, u...
An ultrasensitive, selective, rapid, and cost-effective spectrofluorimetric approach is established ...
OBJECTIVE: To develop and validate predictive models assessing survival outcomes in patients with no...
BACKGROUND: Accurate measurement of anterior segment parameters is crucial for diagnosing and managi...
BACKGROUND: Artificial intelligence (AI) plays a promising role in ophthalmic imaging by providing i...
BACKGROUND AND OBJECTIVES: Prostate cancer is the most common form of cancer in the male population....
Accurate prediction of post-treatment visual acuity in macular edema secondary to retinal vein occlu...
Ophthalmology, like all medical specialities, is continuously evolving to adapt to emerging challeng...
Retinal ischemic perivascular lesions (RIPLs) are characteristic focal thinning of the inner nuclear...
Anesthesia plays a pivotal role in modern surgery by facilitating controlled states of unconsciousne...
PURPOSE: Minimally invasive needle-based interventions are commonly used in cancer diagnosis and tre...
The integration of multimodal capabilities into GPT-4 represents a transformative leap for artifici...
Accurate solubility prediction in supercritical carbon dioxide (scCO) is crucial for optimizing expe...