Ophthalmology

Association between air pollution and type II diabetes in Italy from clinical data and population-weighted exposure at the municipality level.

A growing body of literature supports the association between ambient particulate pollution and the ...

The Predictive Value of Serum Total IgE for Antihistamine Treatment Outcomes in Chinese Patients with Chronic Spontaneous Urticaria.

Chronic spontaneous urticaria is a common skin disorder with variable treatment responses. Second-ge...

Digitalization of surgical features improves surgical accuracy via surgeon guidance and robotization.

The evolution of surgical techniques aims to augment surgeons' capabilities through digital guidance...

Applications of machine learning in glaucoma diagnosis based on tabular data: a systematic review.

Glaucoma is a leading cause of irreversible blindness, necessitating early and accurate diagnosis to...

Serum metabolic patterns reveal the diagnostic and prognostic role of alanine abnormality in ocular adnexal lymphoma.

Ocular adnexal lymphoma (OAL) is the most common orbital malignancy in adults. Advanced tools for pr...

An explainable vision transformer with transfer learning based efficient drought stress identification.

Early detection of drought stress is critical for taking timely measures for reducing crop loss befo...

Impact of large language models and vision deep learning models in predicting neoadjuvant rectal score for rectal cancer treated with neoadjuvant chemoradiation.

This study aims to explore Deep Learning methods, namely Large Language Models (LLMs) and Computer V...

In silico analysis of atrial fibrillation and hypertension mechanism of action secondary to ibrutinib/acalabrutinib in chronic lymphocytic leukemia.

Ibrutinib and acalabrutinib are first- and next-generation Bruton Tyrosine Kinase inhibitors (BTKi),...

Online Bayesian Approximation based Uncertainty Aware Model for Ophthalmic Image Segmentation.

The robust segmentation of different targets in multiple modality images is challenging due to facto...

Predicting ROS1 and ALK fusions in NSCLC from H&E slides with a two-step vision transformer approach.

Non-small cell lung cancer (NSCLC) is one of the deadliest and most prevalent cancers worldwide, wit...

Ensemble of deep learning and IoT technologies for improved safety in smart indoor activity monitoring for visually impaired individuals.

Old and vision-impaired indoor action monitoring utilizes sensor technology to observe movement and ...

Toward Disentangled and Controllable Deep Metric Learning With Human-Like Concept Decomposition.

Deep metric learning (DML) has shown significant advancements in learning discriminative embeddings ...

An optimized multi-scale dilated attention layer for keratoconus disease classification.

INTRODUCTION: Keratoconus (KCN) is a progressive and non-inflammatory corneal disorder characterized...

Radiomics, machine learning, and deep learning for hippocampal sclerosis identification: a systematic review and diagnostic meta-analysis.

PURPOSE: Hippocampal sclerosis (HS) is the primary pathological finding in temporal lobe epilepsy (T...

Application of Artificial Intelligence to Lipid Nutrition: A Narrative Review.

Artificial intelligence (AI) has made significant progress in life sciences, with promising results ...

ML-STIM: Machine learning for subthalamic nucleus intraoperative mapping.

OBJECTIVE: Deep Brain Stimulation (DBS) of the Subthalamic Nucleus (STN) is effective in alleviating...

What Do Visual Neural Networks Learn?

Over the past decade, artificial neural networks trained to classify images downloaded from the inte...

Artificial intelligence in pediatric ophthalmology: a comparative study of ChatGPT-4.0 and DeepSeek-R1 performance.

: This study aims to evaluate and compare the accuracy and performance of two large language models ...

Artificial intelligence in pediatric eye care: Assessing the necessity and impact.

Commentary: Artificial intelligence and machine learning in ocular oncology, retinoblastoma - A balanced perspective.

Cyborg insect factory: automatic assembly for insect-computer hybrid robot via vision-guided robotic arm manipulation of custom bipolar electrodes.

Insect-computer hybrid robots offer strong potential for navigating complex terrains. This study ide...