Ophthalmology

Refractive Surgery

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

4,574 articles
Stay Ahead - Weekly Refractive Surgery research updates
Subscribe
Browse Categories
Showing 820-840 of 4,574 articles
SAIL: Structure-Aware Interpretable Learning for Anatomy-Aligned Post-hoc Explanations in OCT

Optical coherence tomography (OCT), a commonly used retinal imaging modality, plays a central role i...

Artificial Intelligence for Cardiac Biomarkers After Myocardial Infarction: A Systematic Review and a Leakage-Aware Modeling Framework

Aims To systematically evaluate how artificial intelligence and machine-learning (AI/ML) methods are...

On the predictability of progression-free survival in ovarian cancer from NanoString gene expression data

In the treatment of high grade serous ovarian cancer (HGSC), patients initially diagnosed with unres...

Lightning Pose 3D: an uncertainty-aware framework for data-efficient multi-view animal pose estimation

Multi-view pose estimation is essential for quantifying animal behavior in scientific research, yet ...

SSL-R1: Self-Supervised Visual Reinforcement Post-Training for Multimodal Large Language Models

Reinforcement learning (RL) with verifiable rewards (RLVR) has demonstrated the great potential of e...

TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation

Pancreatic ductal adenocarcinoma (PDAC) segmentation on contrast-enhanced CT is inherently ambiguous...

Predicting Post-Traumatic Epilepsy from Clinical Records using Large Language Model Embeddings

Objective: Post-traumatic epilepsy (PTE) is a debilitating neurological disorder that develops after...

Explainable Fall Detection for Elderly Care via Temporally Stable SHAP in Skeleton-Based Human Activity Recognition

Fall detection in elderly care requires not only accurate classification but also reliable explanati...

SOAR: Self-Correction for Optimal Alignment and Refinement in Diffusion Models

The post-training pipeline for diffusion models currently has two stages: supervised fine-tuning (SF...

Greater lean-body-mass decline with tirzepatide than semaglutide in routine care, revealed by body-composition digital phenotyping

GLP-1 receptor agonists induce substantial weight loss, but the extent to which lean tissue and phys...

Beyond Fixed False Discovery Rates: Post-Hoc Conformal Selection with E-Variables

Conformal selection (CS) uses calibration data to identify test inputs whose unobserved outcomes are...

Euclid Quick Data Release (Q1). AgileLens: A scalable CNN-based pipeline for strong gravitational lens identification

We present an end-to-end, iterative pipeline for efficient identification of strong galaxy--galaxy l...

VDPP: Video Depth Post-Processing for Speed and Scalability

Video depth estimation is essential for providing 3D scene structure in applications ranging from au...

Untargeted analysis of volatile markers of post-exercise fat oxidation in exhaled breath

Breath acetone represents a promising non-invasive biomarker for monitoring fat oxidation during exe...

Overconfidence and Calibration in Medical VQA: Empirical Findings and Hallucination-Aware Mitigation

As vision-language models (VLMs) are increasingly deployed in clinical decision support, more than a...

Advancements and limitations of image-enhanced endoscopy in colorectal lesion diagnosis and treatment selection: A narrative review.

Colorectal cancer (CRC) is a leading cause of cancer-related mortality, highlighting the need for ea...

Apr 2026 40353217
Left Ventricular Geometry Improves Prediction of Sex-Specific Post-TAVR Remodeling in Aortic Stenosis

Background: Women with severe aortic stenosis (AS) are diagnosed later and experience poorer outcome...

Contrastive Transformer-Driven Discovery of Temporal Hemodynamic Subphenotypes in Cardiac Surgery Patients

Cardiac surgery patients experience rapidly evolving hemodynamics in early post-operative period req...

Diagnostic Accuracy of Large Language Models for Rare Diseases: A Systematic Review and Meta-Analysis

Background: Large language models (LLMs) have been evaluated as tools to assist rare disease diagnos...

Browse Categories