Ophthalmology

Selective Neurectomy and Masseteric-to-Zygomatic Nerve Transfer With Processed Nerve Allograft for Postparalytic Ocular Sequelae: Preliminary Results.

Oro-ocular synkinesis is a debilitating sequela of facial nerve injury. While selective neurectomy (SN) offers a surgical alternative to botulinum toxin, its efficacy is often limited by recurrence. This study evaluates the feasibility and preliminary results of combining targeted SN with masseteric-to-zygomatic nerve transfer using processed nerve allografts. A retrospective cohort study was cond...

Adjunctive utility of gaze-based indices obtained with Gazefinder for ADHD assessment in children.

Diagnosis of attention-deficit/hyperactivity disorder (ADHD) relies primarily on subjective clinical assessments, necessitating the establishment of objective, low-burden supplementary indicators. While eye-tracking has emerged as a noninvasive method for capturing temporal fluctuations in attentional allocation, its discriminative performance in ADHD remains under-explored. This study examined di...

Validating medical digital twins for clinical decision support: beyond predictive accuracy.

OBJECTIVE: To clarify how validation requirements should be specified for medical digital twins used in clinical decision support, particularly when s...

The Black Mirror of AI-driven vulnerability, hazard, and risk research.

As artificial intelligence (AI) is increasingly integrated into disaster risk reduction/management (DRR/M), critical scrutiny remains essential to ave...

Retinal and Choroidal Vascular Metrics Predict Cerebral Atrophy and Cognitive Impairment in Noninfarcted Large Artery Stenosis.

PURPOSE: Large artery stenosis (LAS) can drive cognitive impairment and neurodegeneration even without overt infarction, yet scalable biomarkers for c...

Mapping the literature on improving primary-to-secondary care referrals through the lens of the Quintuple Aim framework for healthcare improvement: a scoping review.

OBJECTIVES: To explore and map the literature on referral pathway gaps and improvement strategies in primary healthcare (PHC) to secondary healthcare ...

Eyettention II: A dual-sequence architecture for modeling fixation location, within-word landing position, and fixation duration in reading.

The way our eyes move while reading provides valuable insights into both the reader's cognitive processes and the properties of the text. In particula...

Validation of a deep learning-based system for sleep staging, arousal detection, and respiratory event scoring in atrial fibrillation patients.

PURPOSE: Obstructive sleep apnea is a common yet underdiagnosed sleep disorder in patients with atrial fibrillation (AF). Although polysomnography (PS...

The Process Optimization During Biodegradation of Textile Dye in a Fixed-Bed Bioreactor Using Immobilized Shewanella putrefaciens: Response Surface Methodology and Artificial Neural Network Modeling.

The textile wastewater containing refractory and tenacious synthetic dyes poses a greater threat and hazardous impact on both terrestrial animals and ...

Correction: Artificial intelligence in pediatric myopia - a narrative review.

Accuracy of portable artificial intelligence-supported fundus camera in the screening of diabetic retinopathy in primary care.

OBJECTIVE: Research on the use of portable fundus cameras utilizing artificial intelligence (AI) for diabetic retinopathy (DR) screening in primary ca...

DARE: An Explainable AI-Visualization Framework for Ill-Defined Decision Making.

Real-world decision making often unfolds in fluid, uncertain, and ill-defined contexts where objectives shift, data are incomplete, and non-quantifiab...

Artificial intelligence in retinal imaging for early Alzheimer's disease detection: A review.

BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder that necessitates early, accessible, and non-invasive diagnostic method...

Surgical outcomes and risk factors identification for rhegmatogenous retinal detachment repair by pneumatic retinopexy using pure air.

OBJECTIVE: This study aimed to evaluate the clinical outcomes and identify risk factors for failure of pneumatic retinopexy (PR) using pure air. METHO...

Indoor Navigation for People With Visual Impairment in Canada: Participatory Co-Design and Interdisciplinary Study of the Edge A-Eye Platform.

BACKGROUND: Indoor navigation remains a major challenge for people with visual impairments, affecting autonomy, safety, and quality of life. While nav...

Joint Multi-Task Deep Learning with Cross-Task Attention for Simultaneous Lesion Segmentation, Detection, and Severity Grading of Diabetic Retinopathy on Fundus Images: An External Validation Study.

BACKGROUND: Diabetic retinopathy (DR) severity is graded from the type and distribution of retinal lesions, yet most automated methods address grading...

Classification of Inherited Retinal Diseases Using Artificial Intelligence Models for Fundus Autofluorescence and Ultrawide Retinal Images.

BACKGROUND/OBJECTIVES: Inherited retinal diseases (IRDs) are a leading cause of blindness in working-age adults. Although artificial intelligence (AI)...

Aberrant mucin expression and keratinization distinguishing severe from mild asthma revealed by interpretable machine learning.

Type 2 (T2) immune cells dominate the airways of mild-moderate asthma (MMA) patients with a more complex Type 1 (T1)-T2 mixed immune response evident ...

Beyond Radiation Exposure: Occupational Health Challenges Across the Modern Radiology Workforce.

Radiology occupational safety has historically centred on radiation protection. Although radiation safety remains essential, the digital transformatio...

Content-based retrieval of fundus images and diabetic retinopathy detection using variants of local texture features.

Content-based retinal image analysis plays a crucial role in the early diagnosis of ocular diseases. In this study, we proposed a novel approach for e...