Laser Surgery - Page 46 | AI Medical Compendium

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Showing 946-966 of 4,138 articles

Predicting Diabetic Macular Edema Treatment Responses Using OCT: Dataset and Methods of APTOS Competition

Diabetic macular edema (DME) significantly contributes to visual impairment in diabetic patients. ...

(3)

May 2025 http://arxiv.org/abs/2505.05768v1

Benchmarking Ophthalmology Foundation Models for Clinically Significant Age Macular Degeneration Detection

Self-supervised learning (SSL) has enabled Vision Transformers (ViTs) to learn robust representati...

May 2025 http://arxiv.org/abs/2505.05291v2

Bioimpedance assessment method based on back propagation neural network for irreversible electroporation of liver tissue.

The safety and efficacy of irreversible electroporation (IRE) in tumor therapy has been validated ov...

May 2025 40341694

HYAMD High-Resolution Fundus Image Dataset for age related macular degeneration (AMD) Diagnosis

The Hillel Yaffe Age Related Macular Degeneration (HYAMD) dataset is a longitudinal collection of ...

May 2025 http://arxiv.org/abs/2505.04230v1

Multi-Scale Target-Aware Representation Learning for Fundus Image Enhancement

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

May 2025 http://arxiv.org/abs/2505.01831v1

DMS-Net:Dual-Modal Multi-Scale Siamese Network for Binocular Fundus Image Classification

Ophthalmic diseases pose a significant global health challenge, yet traditional diagnosis methods ...

Apr 2025 http://arxiv.org/abs/2504.18046v1

A Clinician-Friendly Platform for Ophthalmic Image Analysis Without Technical Barriers

Artificial intelligence (AI) shows remarkable potential in medical imaging diagnostics, yet most c...

Apr 2025 http://arxiv.org/abs/2504.15928v2

EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and Model

Medical Large Vision-Language Models (Med-LVLMs) demonstrate significant potential in healthcare, ...

Apr 2025 http://arxiv.org/abs/2504.13650v1

Hysteresis-Aware Neural Network Modeling and Whole-Body Reinforcement Learning Control of Soft Robots

Soft robots exhibit inherent compliance and safety, which makes them particularly suitable for app...

Apr 2025 http://arxiv.org/abs/2504.13582v1

A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement

Accurate retinal vessel segmentation provides essential structural information for ophthalmic imag...

(2)

Apr 2025 http://arxiv.org/abs/2504.13553v1

Dual-Modality Computational Ophthalmic Imaging with Deep Learning and Coaxial Optical Design

The growing burden of myopia and retinal diseases necessitates more accessible and efficient eye s...

Apr 2025 http://arxiv.org/abs/2504.18549v1

Training Frozen Feature Pyramid DINOv2 for Eyelid Measurements with Infinite Encoding and Orthogonal Regularization

Accurate measurement of eyelid parameters such as Margin Reflex Distances (MRD1, MRD2) and Levator...

Apr 2025 http://arxiv.org/abs/2504.00515v1

Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration

With the advancements in medical artificial intelligence (AI), fundus image classifiers are increa...

(1)

Apr 2025 http://arxiv.org/abs/2504.00431v1

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

Large language models (LLMs) are increasingly used in healthcare, but their reliability is heavily...

Mar 2025 http://arxiv.org/abs/2503.22746v1

The Role of Computational Modeling in Enhancing Thermal Safety During Cardiac Ablation

Objective: In this review, we aim to provide an analysis of current cardiac ablation techniques, s...

Mar 2025 http://arxiv.org/abs/2503.20751v1

Rethinking Glaucoma Calibration: Voting-Based Binocular and Metadata Integration

Glaucoma is an incurable ophthalmic disease that damages the optic nerve, leads to vision loss, an...

Mar 2025 http://arxiv.org/abs/2503.18642v1

A Novel Ophthalmic Benchmark for Evaluating Multimodal Large Language Models with Fundus Photographs and OCT Images

In recent years, large language models (LLMs) have demonstrated remarkable potential across variou...

(1)

Mar 2025 http://arxiv.org/abs/2503.07094v1

Predicting early recurrence of hepatocellular carcinoma after thermal ablation based on longitudinal MRI with a deep learning approach.

BACKGROUND: Accurate prediction of early recurrence (ER) is essential to improve the prognosis of pa...

(1)

Mar 2025 40110765

Attention on the Wires (AttWire): A Foundation Model for Detecting Devices and Catheters in X-ray Fluoroscopic Images

Objective: Interventional devices, catheters and insertable imaging devices such as transesophagea...

Mar 2025 http://arxiv.org/abs/2503.06190v1

Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation

This paper discusses how ophthalmologists often rely on multimodal data to improve diagnostic accu...

Mar 2025 http://arxiv.org/abs/2503.05319v1

CREATE-FFPE: Cross-Resolution Compensated and Multi-Frequency Enhanced FS-to-FFPE Stain Transfer for Intraoperative IHC Images

In the immunohistochemical (IHC) analysis during surgery, frozen-section (FS) images are used to d...

(4)

Mar 2025 http://arxiv.org/abs/2503.00697v1