Laser Surgery

Fitzpatrick Skin Type Is Assocated With Missed Malignancy in Large Language Model Dermatologic Diagnosis: Failure Patterns of ChatGPT and Claude.

Protein Language Model Embeddings Recover Evolutionary and Functional Organization Across the Ras Superfamily.

The Ras protein superfamily comprises small GTPases that share a conserved G-domain but differ in fl...

Multi-habitat radiomics on T2-FS MRI for identifying spatial patterns of axial spondyloarthritis-associated bone marrow edema.

INTRODUCTION: Conventional radiomics neglects the spatial heterogeneity of bone marrow edema (BME). ...

Deep Learning with Attention Mechanism for Pediatric Appendicitis Detection on Plain Abdominal Radiographs.

Diagnosing acute appendicitis in children is difficult due to clinical uncertainties. Ultrasonograph...

Readability and Quality of Online Patient Education Materials: Thyroid Radiofrequency Ablation.

OBJECTIVE: To assess the readability and quality of online patient education materials regarding thy...

Multimodal discovery of a pathogenic B cell-dependent T cell state in multiple sclerosis.

B cell depleting therapies in multiple sclerosis (MS) have transformed disease management, yet the i...

Effectiveness, Safety, and Workflow Burden of Large Language Model-Based Medical Report Generation: Systematic Review.

BACKGROUND: Systems based on large language models (LLMs), multimodal LLMs, and vision-language foun...

Veterans' Willingness to Use Home-based Telehealth and AI for Dermatology.

Home-based teledermatology and artificial intelligence (AI) are current and emerging tools for deliv...

CT-based radiomics and ablation margin quantification for predicting local tumor progression in Stage I NSCLC after radiofrequency ablation.

Local tumor progression (LTP) compromises durable local control after radiofrequency ablation (RFA) ...

Artificial Intelligence in Indian Dermatology: An IADVL Academy Position Statement and Policy Framework for Safe, Equitable, and Effective Adoption.

Artificial intelligence (AI) systems, particularly deep learning models, are increasingly used in de...

AI-driven ablative margin assessment after HCC radiofrequency ablation: a case-control feasibility study.

OBJECTIVE: Thermal ablation of hepatocellular carcinoma (HCC) requires an adequate safety margin aro...

Multimodal DCE-MRI stacking fusion for luminal versus non-luminal classification in breast cancer: A multicenter study with interpretability and ablation analysis.

PURPOSE: To develop and externally validate a multimodal stacking fusion model based on dynamic cont...

Machine Learning for Autism Spectrum Disorder Prediction: A Review of Data Augmentation and Feature Selection Techniques.

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent...

Post AF Ablation Anticoagulation: Real World Practice and Predictors of Therapy.

BACKGROUND: Oral anticoagulation (OAC) is recommended for ≥3 months post catheter ablation (CA) for ...

Vehicle CO₂ emission prediction based on firefly with ant colony optimization tuned long short-term memory model.

Accurate vehicle-level CO₂ emission prediction is essential for regulatory planning and greener powe...

Bioelectronic interfaces for restoring vision pathways.

Myopia remains a major global ophthalmic challenge, as existing interventions can slow but rarely ha...

PVCuRe: a machine-learning based tool to predict left ventricular systolic function recovery in patients undergoing ablation for premature ventricular contraction.

BACKGROUND: Ablation of frequent premature ventricular complexes (PVCs) can improve left ventricular...

The Role of Artificial Intelligence in Teaching Ophthalmology Skills: A Systematic Review.

BACKGROUND: Ophthalmology training requires visual interpretation, procedural skill, and supervised ...

Prediction of retinopathy of prematurity using machine learning models.

BACKGROUND: Early identification of neonates at risk of retinopathy of prematurity (ROP) is essentia...

Artificial intelligence-guided engineering of precision ocular therapeutics.

PURPOSE OF REVIEW: This review surveys recent advances in artificial intelligence-guided small molec...

Harmonizing complexity and efficiency: Helix Fusion HarmonyNet's breakthrough in EEG-based postoperative delirium recognition.

Postoperative delirium (POD) is a common perioperative complication involving central nervous system...