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Laser Surgery

Latest AI and machine learning research in laser surgery for healthcare professionals.

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GroundedSurg: A Multi-Procedure Benchmark for Language-Conditioned Surgical Tool Segmentation

Clinically reliable perception of surgical scenes is essential for advancing intelligent, context-aw...

Unseen Insights: An AI-Powered Exploration of Secure Patient Messages in Ophthalmology

Objective To characterize the clinical and administrative concerns communicated through secure ophth...

Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis

Retinal diseases spanning a broad spectrum can be effectively identified and diagnosed using complem...

Robust Machine Learning Framework for Reliable Discovery of High-Performance Half-Heusler Thermoelectrics

Machine learning (ML) can facilitate efficient thermoelectric (TE) material discovery essential to a...

Deep learning-enabled speckle reduction for cleared-sample coherent scattering tomography

Clearing Assisted Scattering Tomography (CAST) extends coherent scattering tomography to whole-brain...

CLEAR-Mamba:Towards Accurate, Adaptive and Trustworthy Multi-Sequence Ophthalmic Angiography Classification

Medical image classification is a core task in computer-aided diagnosis (CAD), playing a pivotal rol...

SGW-GAN: Sliced Gromov-Wasserstein Guided GANs for Retinal Fundus Image Enhancement

Retinal fundus photography is indispensable for ophthalmic screening and diagnosis, yet image qualit...

Vision-Language Models vs Autonomous AI Agents for Anterior Capsular Radial Folds: A Diagnostic Study

ImportanceVision-language models (VLMs) enable generalist multimodal reasoning, but their ability to...

Translating the machine; An assessment of clinician understanding of ophthalmological artificial intelligence outputs.

INTRODUCTION: Advances in artificial intelligence offer the promise of automated analysis of optical...

Sep 2025 40349525
Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport

Multimodal ophthalmic imaging-based diagnosis integrates color fundus image with optical coherence...

Self-supervised learning for low-dose CT image denoising method based on guided image filtering.

low-dose computed tomography (LDCT) images suffer from severe noise due to reduced radiation exposur...

Jul 2025 40562063
Stable Tracking of Eye Gaze Direction During Ophthalmic Surgery

Ophthalmic surgical robots offer superior stability and precision by reducing the natural hand tre...

Not All Attention Heads Are What You Need: Refining CLIP's Image Representation with Attention Ablation

This paper studies the role of attention heads in CLIP's image encoder. While CLIP has exhibited r...

VAP-Diffusion: Enriching Descriptions with MLLMs for Enhanced Medical Image Generation

As the appearance of medical images is influenced by multiple underlying factors, generative model...

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition

Online surgical phase recognition has drawn great attention most recently due to its potential dow...

InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking

Large Language Models (LLMs) have demonstrated significant strides across various information retr...

MIRAGE: Multimodal foundation model and benchmark for comprehensive retinal OCT image analysis

Artificial intelligence (AI) has become a fundamental tool for assisting clinicians in analyzing o...

WetCat: Automating Skill Assessment in Wetlab Cataract Surgery Videos

To meet the growing demand for systematic surgical training, wetlab environments have become indis...

APTOS-2024 challenge report: Generation of synthetic 3D OCT images from fundus photographs

Optical Coherence Tomography (OCT) provides high-resolution, 3D, and non-invasive visualization of...

DermaCon-IN: A Multi-concept Annotated Dermatological Image Dataset of Indian Skin Disorders for Clinical AI Research

Artificial intelligence is poised to augment dermatological care by enabling scalable image-based ...

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