Laser Surgery

Use of artificial intelligence for dermatologic diagnosis: Ethical issues with integration of new technologies.

Susceptibility of Large Language Models to User-Driven Factors in Medical Queries.

UNLABELLED: Large language models (LLMs) are increasingly used in healthcare; however, their reliabi...

The role of artificial intelligence in advancing urologic care: From diagnostics to therapeutics.

Artificial intelligence (AI) is gradually altering urology by improving diagnostic precision, progno...

GICAF-Net: A cross-attentional graph-image fusion network for hyperspectral pathological diagnosis of FNH and HCC.

BACKGROUND AND OBJECTIVE: Accurate intraoperative differentiation between focal nodular hyperplasia ...

OCT-PRO: A Multimodal Model Integrating OCT and Clinical Traits to Predict Postoperative Outcomes in Cataract Patients.

PURPOSE: To develop and validate OCT-PRO, a multimodal machine learning model integrating OCT images...

Targetable atrial tachycardias after artificial intelligence-guided ablation of persistent atrial fibrillation.

BACKGROUND: The TAILORED-AF randomized trial demonstrated that artificial intelligence-guided ablati...

AI-assisted dermatologic diagnosis using a large language model.

Intelligent ensemble learning-enhanced finite element modeling for precision thermal ablation in cancer therapy.

BACKGROUND: Microwave ablation (MWA) is a minimally invasive treatment for liver tumors, yet accurat...

Deep learning for automatic detection of hepatocellular carcinoma in dynamic contrast-enhanced MRI.

OBJECTIVE: Develop a deep learning model for automatic hepatocellular carcinoma (HCC) detection in T...

Retinal proteomics in neurodegeneration: Insights into ocular and brain disorders.

Dysregulated proteome in the retina represents a promising avenue for discovering novel therapeutic ...

Multi-scale target-aware representation learning for fundus image enhancement.

High-quality fundus images provide essential anatomical information for clinical screening and ophth...

A systematic review of vision and vision-language foundation models in ophthalmology.

BACKGROUND: Vision and vision-language foundation models, a subset of advanced artificial intelligen...

Standardized evaluation of orthokeratology lens fitting status assisted by deep learning algorithm.

OBJECTIVE: Aims to develop a standardized evaluation method based on the YOLOv8n object detection al...

Personalized dermatologic communication with large language models on high-stakes personas.

Evaluating the Clinical Competence of Large Language Models in Prostate Cancer Management: A Comparative Study of DeepSeek-R1 and ChatGPT.

BACKGROUND: Large language models (LLMs) have gained prominence in medical applications, yet their p...

A Datasheet for Age-Related Eye Disease Study 2 on the Database of Genotypes and Phenotypes.

OBJECTIVE: To provide a comprehensive summary of the controlled-access Age-Related Eye Disease Study...

AI-generated dermatologic images: A call for clinical accuracy and inclusive design.

Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers: A Multicenter Study.

OBJECTIVES: Despite the growing use of artificial intelligence (AI) in medicine, imaging, and dermat...

OcuViT: A Vision Transformer-Based Approach for Automated Diabetic Retinopathy and AMD Classification.

Early detection and accurate classification of retinal diseases, such as diabetic retinopathy (DR) a...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading caus...

AI assistance enhances histopathologic distinction between sebaceous and squamous cell carcinoma of the eyelid.

Sebaceous gland carcinoma (SGC) and some poorly differentiated squamous cell carcinomas (SC) of the ...