Ophthalmology

Refractive Surgery

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

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SMILE: a Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis

Spread through air spaces (STAS) represents a newly identified aggressive pattern in lung cancer, ...

Combined impact of grey and superficial white matter abnormalities: implications for epilepsy surgery

Drug-resistant focal epilepsy is associated with abnormalities in the brain in both grey matter (G...

ACT360: An Efficient 360-Degree Action Detection and Summarization Framework for Mission-Critical Training and Debriefing

Effective training and debriefing are critical in high-stakes, mission-critical environments such ...

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...

Periodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing

Calculating percentage bone loss is a critical test for periodontal disease staging but is sometim...

SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity Reduction

Large Language Models (LLMs) have demonstrated improved generation performance by incorporating ex...

PEO: Improving Bi-Factorial Preference Alignment with Post-Training Policy Extrapolation

The alignment of large language models with human values presents a critical challenge, particular...

Feasibility of a Machine Learning Classifier for Predicting Post-Induction Hypotension in Non-Cardiac Surgery.

PURPOSE: To develop a machine learning (ML) classifier for predicting post-induction hypotension (PI...

Mar 2025 39999991
Clinical Inspired MRI Lesion Segmentation

Magnetic resonance imaging (MRI) is a potent diagnostic tool for detecting pathological tissues in...

PQBFL: A Post-Quantum Blockchain-based Protocol for Federated Learning

One of the goals of Federated Learning (FL) is to collaboratively train a global model using local...

Fundus2Globe: Generative AI-Driven 3D Digital Twins for Personalized Myopia Management

Myopia, projected to affect 50% population globally by 2050, is a leading cause of vision loss. Ey...

Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network

The Convolutional Neural Network (CNN) has shown impressive performance in image classification be...

CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis

Neural networks (NNs), with their powerful nonlinear mapping and end-to-end capabilities, are wide...

An inpainting approach to manipulate asymmetry in pre-operative breast images

One of the most frequent modalities of breast cancer treatment is surgery. Breast surgery can caus...

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers

Post-training quantization (PTQ) has emerged as a promising solution for reducing the storage and ...

Towards Robust and Generalizable Lensless Imaging with Modular Learned Reconstruction

Lensless cameras disregard the conventional design that imaging should mimic the human eye. This i...

Experimenting with Affective Computing Models in Video Interviews with Spanish-speaking Older Adults

Understanding emotional signals in older adults is crucial for designing virtual assistants that s...

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