Laser Surgery

Precision-Driven Management of Great Saphenous Varicose Veins: A Narrative Review.

OBJECTIVES: Great saphenous vein (GSV) incompetence is common, but numerous treatment options compli...

Deep Learning for Automated 3D Ophthalmic Ultrasound Reconstruction and Probe Path Optimization.

A deep learning framework for recognizing skin changes secondary to chronic venous insufficiency in clinical photographs: a multicentre validation study.

BACKGROUND: Chronic venous insufficiency (CVI) produces heterogeneous lower-extremity skin changes t...

Can ChatGPT Be Trusted for Urologic Patient Education? A Comparative Study of Stress Urinary Incontinence-Related Information From Versions 3.5 and 4.

INTRODUCTION AND HYPOTHESIS: The application of artificial intelligence tools such as ChatGPT in pat...

Development of non-destructive durian fruit maturity detection tool based on multi-variable sensor for harvest quality optimisation.

Durian maturity critically affects consumer acceptance, market value, and postharvest losses, yet it...

[Artificial intelligence in neuro-ophthalmology: prospects, challenges and countermeasures].

Neuro-ophthalmic disorders feature complex etiology. Certain ocular manifestations may hint at sever...

Prediction model for recurrent laryngeal nerve injury in microwave ablation of thyroid nodules.

OBJECTIVE: This study aims to develop an explainable machine learning (ML) framework integrating cli...

An exploratory SMOTE-SVM approach for identifying preoperative biomechanical risk factors driving early toric intraocular lens micro-rotation in extremely imbalanced cohorts.

The predictive modeling of postoperative mechanical complications, such as the early micro-rotation ...

Predicting CO2 injection profiles in heterogeneous reservoirs using a physics-aware deep learning framework.

Accurate prediction of CO2 injection profiles is essential for optimizing injection strategies in he...

Data-scarce transfer learning fusion for positron emission tomography and computed tomography guided lung biopsy.

OBJECTIVES: We developed a transfer learning-based multimodal fusion deep learning model integrating...

Identifying the Presence and Characteristics of Mid-Myocardial and Epicardial Fibrosis From Intracardiac Electrograms in Patients Undergoing Ventricular Arrhythmia Ablation Using a Transformer-Based Self-Supervised Classifier.

BACKGROUND: Catheter ablation is an essential tool for ventricular arrhythmia management, yet sustai...

OphthoChat: A HIPAA-Compliant, Artificial Intelligence-Driven Natural-Language Chatbot for Ophthalmic Electronic Medical Record Querying and Analysis.

PURPOSE: To introduce and evaluate OphthoChat, a Health Insurance Portability and Accountability Act...

Artificial Intelligence-Assisted Screening for Patients With Diabetic Retinopathy and Age-Related Macular Degeneration in Family Medicine and Geriatric and Gerontology Care: Protocol for a Pragmatic Randomized Clinical Trial.

BACKGROUND: Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are 2 of the leadin...

Retinal imaging for cerebrovascular risk stratification: evidence, limitations, and practical thresholds for the ophthalmologist.

BACKGROUND: The retina shares developmental origin, microvascular anatomy, and barrier physiology wi...

Dual branch fundus deep learning network as an enhanced multi classification system for ocular disease detection via hybrid feature fusion.

Ophthalmic diagnosis relies heavily on the interpretation of fundus images to identify a range of de...

A-eye: Automated 3D MRI segmentation and morphometric feature extraction for eye and orbit atlas construction.

In this study we introduce automated 3D segmentation of the healthy human adult eye and orbit from M...

Developing a Dermatology-Specific Electronic Medical Record: Leadership, Strategy, and the Role of Artificial Intelligence.

The multidimensional nature of dermatology-encompassing pediatric, medical, surgical, and cosmetic d...

Being a Social Media Ambassador.

Social media has transformed how the public accesses, interprets, and shares health information. In ...

Toward autonomous robotic-assisted and microrobotic surgery.

Autonomous robotic-assisted surgery (RAS) has emerged as a promising objective in biomedical technol...

Real-time patient-specific microwave ablation zone prediction via a unified bioheat solver and MRI-informed perturbation learning.

Microwave ablation is a crucial option for liver tumors, with success hinging on generating a suitab...

AI-driven model for early failure prediction after HIFU integrating immediate post-ablation ultrasound and clinical data.

PURPOSE: High-Intensity Focused Ultrasound (HIFU) is an emerging focal therapy for localized prostat...