Refractive Surgery

Suitability of just-in-time adaptive intervention in post-COVID-19-related symptoms: A systematic scoping review.

Patients with post-COVID-19-related symptoms require active and timely support in self-management. J...

Artificial intelligence-enhanced electrocardiogram diastolic function grade predicts post-septal myectomy mortality in hypertrophic cardiomyopathy.

BACKGROUNDS: Diastolic dysfunction is an important pathophysiologic feature of hypertrophic cardiomy...

MicroRNA signature predicts post operative atrial fibrillation after coronary artery bypass grafting.

Early detection of atrial fibrillation (AFib) is crucial for altering its natural progression and co...

Artificial Optoelectronic Synapse Featuring Bidirectional Post-Synaptic Current for Compact and Energy-Efficient Neural Hardware.

Conventional hardware neural networks (HW-NNs) have relied on unidirectional current flow of artific...

Leveraging pre-vaccination antibody titres across multiple influenza H3N2 variants to forecast the post-vaccination response.

BACKGROUND: Despite decades of research on the influenza virus, we still lack a predictive understan...

Prediction of Myopia Among Undergraduate Students Using Ensemble Machine Learning Techniques.

BACKGROUND AND AIMS: Myopia is a prevalent refractive error, particularly among young adults, and is...

Early detection of retinal and choroidal microvascular impairments in diabetic patients with myopia.

PURPOSE: To evaluate and quantify diabetes-related retinal and choroid perfusion changes in individu...

A novel network architecture for post-applicator placement CT auto-contouring in cervical cancer HDR brachytherapy.

BACKGROUND: High-dose-rate brachytherapy (HDR-BT) is an integral part of treatment for locally advan...

Evaluation of a classroom-based medical imaging artificial intelligence educational intervention in Ghana: A pre-test/post-test study design.

INTRODUCTION: The adoption of artificial intelligence (AI) is gaining increased interest in medical ...

Long COVID's Hidden Complexity: Machine Learning Reveals Why Personalized Care Remains Essential.

Long COVID can develop in individuals who have had COVID-19, regardless of the severity of their in...

A Scoping Review of AI-Driven Digital Interventions in Mental Health Care: Mapping Applications Across Screening, Support, Monitoring, Prevention, and Clinical Education.

BACKGROUND/OBJECTIVES: Artificial intelligence (AI)-enabled digital interventions are increasingly u...

UKF-based model parameter estimation to localize the seizure onset zone in ECoG.

Drug-resistant epilepsy (DRE) patients typically require surgical intervention or neurostimulation. ...

The Core Outcome Measures Index (COMI) comes of age: 18 years of efficient and effective patient-reported outcome measurement in the field of spinal disorders. Part 1. Development of the COMI, interpretation of scores, and use in research.

In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...

The Core Outcome Measures Index (COMI) comes of age: 18 years of efficient and effective patient-reported outcome measurement in the field of spinal disorders. Part 2. COMI item-content, scoring, language versions, and applications.

In 1998, an international and multidisciplinary group of experts (from the fields of spine surgery, ...

Based on TransRes-Pix2Pix network to generate the OBL image during SMILE surgery.

AIM: Generative adversarial networks (GANs) were employed to predict the morphology of OBL before fe...

Exploring the Essential Competencies for Medical Education in the Post-COVID-19 Pandemic Era: A Mixed-Methods Investigation at a Japanese Medical School.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has led to considerable advances in med...

Enhancing pathological myopia diagnosis: a bimodal artificial intelligence approach integrating fundus and optical coherence tomography imaging for precise atrophy, traction and neovascularisation grading.

BACKGROUND: Pathological myopia (PM) has emerged as a leading cause of global visual impairment, ear...

Harnessing integrated bioinformatics to identify new diagnostic and therapeutic strategies for heart failure.

Heart failure (HF) is a life-threatening condition that poses a significant challenge on public heal...

AI tool flags people at high risk of post-partum depression.

Beyond Traditional Simulation: An Exploratory Study on the Effectiveness and Acceptability of ChatGPT‑4o Advanced Voice Mode for Communication Skills Practice Among Medical Students.

Background Effective communication skills are essential for quality medical practice and patient car...

Clinical Validation and Post-Implementation Performance Monitoring of a Neural Network-Assisted Approach for Detecting Chronic Lymphocytic Leukemia Minimal Residual Disease by Flow Cytometry.

: Flow cytometric detection of minimal residual disease (MRD) in chronic lymphocytic leukemia (CLL) ...