Ophthalmology

Refractive Surgery

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

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Prediction of post-Schroth Cobb angle changes in adolescent idiopathic scoliosis patients based on neural networks and surface electromyography.

INTRODUCTION: To develop a temporal-convolutional-LSTM (TCN-LSTM) hybrid model integrating surface e...

IoT and ML-driven framework for managing infectious disease risks in communal spaces: a post-COVID perspective.

COVID-19 has not only changed the way people live but has also altered the way all organizations ope...

Development and evaluation of machine learning models for individualized prediction of myopia control efficacy treated with overnight orthokeratology.

PURPOSE: The primary objective of this study is to develop a predictive model utilizing fundamental ...

Global trends and hotspots in artificial intelligence for high myopia: a bibliometric analysis.

PURPOSE: This study aims to conduct a bibliometric analysis of global publications on the applicatio...

AntBot-EX: Enhancing robot search efficiency in complex post-disaster environments.

In post-disaster scenarios, effective rescue operations hinge on deploying robots equipped with soph...

Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis.

BACKGROUND: Post-COVID conditions (PCC) have proven difficult to diagnose. In this retrospective obs...

Leveraging artificial intelligence to promote COVID-19 appropriate behaviour in a healthcare institution from north India: A feasibility study.

Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial ...

Machine learning-based infection diagnostic and prognostic models in post-acute care settings: a systematic review.

OBJECTIVES: This study aims to (1) review machine learning (ML)-based models for early infection dia...

[A study on post-traumatic stress disorder classification based on multi-atlas multi-kernel graph convolutional network].

Post-traumatic stress disorder (PTSD) presents with complex and diverse clinical manifestations, mak...

Prediction of Post Traumatic Epilepsy Using MR-Based Imaging Markers.

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

Improved prediction of post-translational modification crosstalk within proteins using DeepPCT.

MOTIVATION: Post-translational modification (PTM) crosstalk events play critical roles in biological...

ML-Based Framework to Predict the Severity of the Symptomatology in Patients with Post-Acute COVID-19 Syndrome.

The paper describes a cohort of patients with post-acute COVID-19 syndrome, evaluated for the first ...

AI Prediction for Post-Lower Blepharoplasty Age Reduction.

BACKGROUND: Aesthetic standards vary and are subjective; artificial intelligence (AI), which is curr...

Prediction of Post-Treatment Visual Acuity in Age-Related Macular Degeneration Patients With an Interpretable Machine Learning Method.

PURPOSE: We evaluated the features predicting visual acuity (VA) after one year in neovascular age-r...

Comparative Analysis of Macular and Optic Disc Perfusion Pre and Post Silicone Oil Removal: A Machine Learning Approach.

In the realm of ophthalmic surgeries, silicone oil is often utilized as a tamponade agent for repair...

Enhancing Pulmonary Embolism Detection in COVID-19 Patients Through Advanced Deep Learning Techniques.

The intersection of COVID-19 and pulmonary embolism (PE) has posed unprecedented challenges in medic...

Machine Learning Models for Predicting Cycloplegic Refractive Error and Myopia Status Based on Non-Cycloplegic Data in Chinese Students.

PURPOSE: To develop and validate machine learning (ML) models for predicting cycloplegic refractive ...

Detecting Post-Stroke Aphasia Via Brain Responses to Speech in a Deep Learning Framework.

Aphasia, a language disorder primarily caused by a stroke, is traditionally diagnosed using behavior...

Transformer-Based Wavelet-Scalogram Deep Learning for Improved Seizure Pattern Recognition in Post-Hypoxic-Ischemic Fetal Sheep EEG.

Hypoxic-ischemic (HI) events in newborns can trigger seizures, which are highly associated with late...

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