Laser Surgery

"Bioprinting of Hair: How Far We Proceeded and What Needs to be Done".

Alopecia is a common dermatologic disorder with psychological and quality-of-life impact. Current options such as PRP, topical agents, microneedling or dermarollers, drugs, and transplantation, often provide only partial or short-term benefit and depend on existing follicles. 3D bioprinting is transforming regenerative trichology by positioning cells and "bioinks" to recreate hair-bearing skin. Ad...

Enhancing diabetic retinopathy diagnosis and grading: a retrospective study on AI-assisted decision making and cost analysis.

BACKGROUND/AIMS: Diabetic retinopathy (DR) is a major ocular complication of diabetes mellitus. While artificial intelligence (AI)-based DR screening tools have gained widespread adoption, most research focuses on comparing AI performance with human, with limited attention to AI's role as assistants. This study evaluates the impact of AI-assisted decision-making on DR diagnosis and grading based o...

Impact of artificial intelligence on the availability, accessibility, acceptability and quality of ophthalmic disease screening services: a scoping review.

This scoping review examines the existing literature on the application of artificial intelligence (AI) in screening for eye diseases, with a focus on...

[Position paper of the German Society of Cardiology-quality criteria for performing catheter ablation of atrial fibrillation: executive summary].

The updated German Society of Cardiology (DGK) position paper on catheter ablation of atrial fibrillation (AF) [1] presents the current evidence, tech...

A machine learning surrogate model for fast approximation of simulated microwave ablation zones.

Microwave ablation (MWA) is a minimally invasive therapy for liver, lung, and kidney tumors. Computational modeling with finite element methods (FEM) ...

Direct Identification and Quantification of Nanoplastics in Aqueous Environments via Dual-Channel Electrothermal Vaporization-Microplasma-Based Point Discharge-Optical Emission Spectrometry (DC-ETV-μPD-OES).

A miniaturized analytical platform integrating dual-channel electrothermal vaporization-microplasma-based point discharge-optical emission spectrometr...

STAGE challenge: Structural-Functional Transition in Glaucoma Assessment.

Glaucoma is a leading cause of irreversible yet preventable blindness in working-age populations. Clinical diagnos is currently relies on functional v...

Structure-aware retinal disentanglement reveals the genetic architecture of ocular and systemic diseases.

Deep learning effectively extracts retinal phenotypes but often functions as an entangled black box, obscuring specific genetic mechanisms and hinderi...

Image Distortion Correction for Diffusion MR Imaging Using a Transformer-based U-Net.

PURPOSE: To evaluate the performance of a Transformer-based U-Net, TransDisCo, for distortion correction in clinical diffusion-weighted imaging (DWI),...

Transfer learning for Multi-institutional Classification of Intussusception and Splenomegaly in Pediatric Abdominal Radiographs.

To address diagnostic delays in pediatric abdominal emergencies, this study aimed to develop and validate multi-institutional deep learning models for...

Machine learning-based prediction of diabetic retinopathy using clinlabomics: a multi-center study.

BACKGROUND: Diabetic retinopathy (DR) is a leading cause of vision loss, yet conventional retinal screening remains costly and resource-intensive. Thi...

Rethinking scale in ophthalmic artificial intelligence: from bigger models to smarter clinical reasoning.

Recent advances in ophthalmic AI have improved benchmark performance, yet clinical trust remains limited. We argue that progress should move beyond da...

Advanced computer-aided diagnosis for age-related macular degeneration: integrating segmentation and feature extraction for precise diagnosis.

Age-related Macular Degeneration (AMD) is a leading cause of vision loss globally; necessitating early detection and precise diagnosis for effective i...

Predicting atrial fibrillation recurrence after radiofrequency ablation using the AIFV system: a prospective observational study.

BACKGROUND: Pulmonary vein isolation (PVI) has become the cornerstone of atrial fibrillation (AF) treatment. Nevertheless, the efficacy of radiofreque...

Comparative analysis of large language models and clinicians in thyroid eye disease using structured questionnaires.

To preliminarily evaluate agreement between large language models (LLMs) and ophthalmic clinicians regarding thyroid eye disease (TED) clinical decisi...

Automated phenotyping of ophthalmologic diseases from routine medical records using small language models and the human phenotype ontology (HPO).

Automated phenotyping in ophthalmology requires accurate standardization of clinical terms to facilitate interoperability and research. This study eva...

Research on a lightweight model for laser-cut diamond defect detection based on multi-module collaborative optimization.

As a high-end abrasive material, diamond is prone to defects such as cracks and ablation during laser cutting due to complex physical interactions. Ac...

Global approval and certification of ophthalmic AI devices: A comparative regulatory perspective.

Artificial intelligence (AI) tools are rapidly reshaping ophthalmology by improving screening and diagnosis for diabetic retinopathy, age-related macu...

Surgical technology update for ophthalmic surgery: heads-up display, artificial intelligence, instrumentation, and robotics.

PURPOSE OF REVIEW: Rapid advances in surgical visualization, microsurgical instrumentation, artificial intelligence (AI), and robotic assistance are r...

Physics-informed neural networks for predicting laser-tissue interaction in maxillofacial reconstruction surgery.

This study employs Physics-Informed Neural Networks (PINNs) to simulate the thermal dynamics of biological tissue under laser irradiation by embedding...