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Laser Surgery

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

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FOCUS: Benchmarking Retinal Model Generalization from Foundation Vision Encoders to Multimodal LLMs

Progress in AI-based retinal image analysis has advanced with foundation models, yet evaluating thei...

ABO-Med: Accelerated Bilevel Optimization for Few-Shot Medical Image Classification

In recent years, bilevel optimization has been widely used in a variety of machine learning tasks. H...

Rapid Shift Toward Pulsed Field Ablation and Precision Risk Stratification in High-Impact Atrial Fibrillation Research

Conventional bibliometrics rely on lifetime citations, obscuring immediate shifts in cardiovascular ...

3D Segmentation of Pathological Muscle with a Physics-Informed Latent-Regularized U-Net

Objective: We developed a data-efficient deep learning framework for three-dimensional segmentation ...

Scene Graph-Driven Haptic Feedback for Safety Enhancement in Robotic Ophthalmic Surgery via Physically Simulated iOCT

Robotic ophthalmic surgery offers high precision but introduces a "sensory gap" by decoupling the su...

Do VLMs Share Safety Neurons Across Modalities?

Vision-language models (VLMs) can comply with harmful requests delivered through images, even when t...

CHIASM: A Self-Supervised Visual Field Encoder for Neuro-Ophthalmology

Background: Artificial intelligence (AI) systems for glaucoma diagnosis and prognostication from vis...

Detecting Self-Repairs from Spontaneous Speech with Prompt Ablation Across LLMs and Fine-Tuned Encoder

Self-repairs, in-utterance revisions in which a speaker abandons and reformulates their speech, are ...

Toward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning

LGE cardiac MRI is widely used for left atrial fibrosis assessment and ablation planning in atrial f...

How to Demonstrate the Glucose Specificity of a Non-Invasive CGM: A Case Study of the SKAMo-2 Clinical Trial and Neogly™

Abstract Background: Every non-invasive continuous glucose monitoring (NI-CGM) technology introduced...

A Dynamic-Semantics Framework for Grounding Human Referring Expressions in Visual Perceptual Data

Humans converge on shared names for novel, hard-to-describe objects through repeated interaction, a ...

A Domain-Structured Ensemble Framework for Perioperative Outcome Prediction Using Electronic Health Record Data

Perioperative risk prediction models are often limited by narrow surgical populations, incomplete in...

BioDeformUNet: A Deep Learning Model for Biomechanically Informed Liver Image Registration

Purpose: To build a 3D U-Net model, BioDeformUNet, to predict the deformation vector field (DVF) of ...

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Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model

Microwave ablation (MWA) is a promising minimally invasive treatment for liver tumors, but its thera...

Keyphrase Identification Using Minimal Labeled Data with Hierarchical Contexts and Transfer Learning

Background: Interoperable clinical decision support system (CDSS) rules provide a pathway to interop...

What Makes Deep Learning Work for Traditional Chinese Medicine Tongue Diagnosis? A Comprehensive Ablation Study

Deep learning has shown promise for automated tongue diagnosis in traditional Chinese medicine (TCM)...

Step-Attention Refinement of DINOv3 Features for Efficient Anterior Eye Segmentation

Anterior eye segment (AES) segmentation is a key component of both ocular biometrics and emerging cl...

Are the High-weight Neurons the Important Ones in Image Classification Neural Networks?

As neural network models for image classification advance, neurons play critical roles in pruning, b...

Patient-Level Risk Characterization of Drug-Associated Hidradenitis Suppurativa Using Machine Learning

Hidradenitis suppurativa (HS) is a chronic, debilitating, inflammatory skin disorder. Medications ha...

Color Fundus Photography Analysis: Co-evolution of Data, Preprocessing, and Modeling toward Multimodal AI

Color Fundus Photography (CFP) is a primary non-invasive imaging modality for large-scale screening ...

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