Laser Surgery

Improving Trauma Triage Accuracy with Large Language Models: A Comparison to Human Expert Decisions.

BACKGROUND: Accurate prehospital trauma triage and communication determine morbidity, mortality, and...

The Irreducible Encounter: Human Skills, Artificial Intelligence, and the Future of Ophthalmic Care.

New Frontiers of Skin Ultrasound in Precision Medicine.

Ultrasound has emerged as a versatile, non-invasive imaging technique in dermatology, offering real-...

Development and validation of a LightGBM-based model with risk stratification for predicting early recurrence after catheter ablation for atrial fibrillation.

BACKGROUND: Atrial fibrillation (AF) is the most prevalent sustained arrhythmia, yet tools for predi...

Artificial intelligence in dermatology: Clinical promise and environmental impact.

Artificial intelligence (AI) is reshaping dermatology through diagnostic image analysis, clinical do...

Evaluating the quality of artificial intelligence responses to psoriasis-related clinical and patient questions: a comparative study of ChatGPT, Gemini, and Microsoft Copilot.

BACKGROUND: Patient use of artificial intelligence (AI) chatbots for dermatologic information is inc...

Enhanced Diagnosis of Generalized Pustular Psoriasis With the Legit.Health Device as a Diagnosis Support Tool: Multireader Multicase Study.

BACKGROUND: Generalized pustular psoriasis (GPP) is a rare, chronic, systemic inflammatory disease w...

Informatics-Based Psychotherapeutic and Psychiatric Interventions in Dermatology: Scoping Review of Impacts on Skin Disease Severity and Mental Health Outcomes.

BACKGROUND: Chronic dermatologic conditions such as psoriasis, atopic dermatitis, and hidradenitis s...

Evaluating reasoning in multimodal large language models for ophthalmology: a bilingual benchmark study using clinical vignettes and imaging.

BACKGROUND: Large language models (LLMs) excel in text-based medical exams, but their ability to int...

Development of a machine learning model using systemic and ophthalmic parameters to detect sleep-disordered breathing in glaucoma patients.

PURPOSE: To develop and validate a machine-learning model using systemic and ophthalmic parameters t...

Whole anterior visual pathway segmentation from high-resolution MRI using artificial intelligence.

OBJECTIVE: Manual segmentation of the whole anterior visual pathway (aVP) from high-resolution magne...

Performance Evaluation of GPT-5, Grok 4, and DeepSeek R1 in Interpreting Complete Blood Count Reports for Hematologic Diseases: Retrospective Comparative Study.

BACKGROUND: Large language models (LLMs) demonstrate potential in the laboratory, yet rigorous clini...

Reply to Kristoffer Mazanti Cold, Lars Konge, and Sarah Hjartbro Bube's Letter to the Editor re. Roessler N, Miszczyk M, Miyajima K, et al. Harnessing Artificial Intelligence for Risk Stratification and Outcome Prediction in Urologic Cancers: A Systematic Review. Eur Urol Focus. In press. http://dx.doi.org/10.1016/j.euf.2025.12.007.

Large Language Model Authorship in Ophthalmic Publications.

PURPOSE: To assess for the likely presence of artificial intelligence (AI)-generated text in the pub...

Dnq-unet: a two-level fusion framework for few-shot domain adaptation in cervical cancer CTV segmentation.

To develop and validate a two-level hierarchical fusion architecture enabling efficient few-shot dom...

Limits of Artificial Intelligence Models for Skin Cancer Diagnosis in Realistic Settings.

IMPORTANCE: Artificial intelligence (AI) systems for skin cancer detection perform well in controlle...

Multimodal Ultrasound Integration Pathways and Paradigm Innovations in Precision Diagnosis and Treatment of Thyroid Cancer.

RATIONALE AND OBJECTIVES: Thyroid cancer, the fastest-growing endocrine malignancy, is shifting from...

Artificial intelligence in urology training Enhancing annotation, feedback, and evaluation in robotic, laparoscopic, and endoscopic surgery.

INTRODUCTION: The integration of artificial intelligence (AI) into surgical training is rapidly evol...

CEUS-Based Microvascular Invasion Predictor in HCC: Improving Prognostic Stratification Following Thermal Ablation.

BACKGROUND & AIMS: Microvascular invasion (MVI) critically impacts hepatocellular carcinoma (HCC) ma...

Large Language Models for Ophthalmology Training in China: A Prospective Evaluation.

PURPOSE: This study explored large language models (LLMs) as a scalable solution to the global short...

[Artificial intelligence in diabetic retinopathy screening].

INTRODUCTION: Visual impairment and blindness continue to represent a substantial disease burden in ...