Refractive Surgery

Refining Accelerometer-Based Animal Behaviour Classifications With Sequence-Informed Post-Processing.

Supervised machine learning has been used to detect fine-scale behaviours from animal-borne accelerometers by dividing the continuous sequences of behaviour into discrete segments and classifying each with a distinct behavioural category. This approach, while widely implemented, discards the sequential information available in the temporal ordering of the behavioural series. 'Post-processing' (smo...

Delay and Attrition in Severe Aortic Stenosis: A Four-Checkpoint Systematic Review of Pathway Bottlenecks and Interventions.

The care pathway for severe aortic stenosis (AS) remains vulnerable to diagnostic delay, referral inertia, undertreatment, and procedural waiting times despite the availability of definitive intervention with surgical or transcatheter aortic valve replacement. This systematic review with narrative synthesis aimed to identify where delay and attrition occur across the contemporary severe AS pathway...

Exploratory machine learning-based early post-treatment assessment of willingness to reuse rubber dam isolation after microscopic root canal treatment.

ObjectiveTo explore factors associated with willingness to reuse rubber dam isolation after microscopic root canal treatment and develop an explorator...

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

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...

Predicting Next-Day Passive Suicidal Ideation in At-Risk Youth.

INTRODUCTION: Passive suicidal ideation (SI) is a well-established risk factor for suicidal behavior but has received less attention than active SI. A...

Improving Resident Knowledge of Artificial Intelligence Ethics and Prompting for Clinical Use.

BACKGROUND: The rapid introduction of AI into clinical practice shifts how we must teach resident trainees so they may become ethical patient-facing c...

[Care Transformation: The AI- and Data-Driven Shift From Reactive to Proactive and Predictive Care].

With global population aging and the increasing prevalence of chronic diseases, the traditional reactive medical model, which focuses on post-illness ...

Prediction of Postoperative Vomiting Within 24 Hours Using Machine Learning With Large Language Model-Enhanced Interpretability: Development and Validation Study.

BACKGROUND: Postoperative nausea and vomiting are common complications after anesthesia. However, vomiting represents a clinically distinct and object...

Skeletal muscle reprogramming of metabolic, ribosomal and developmental pathways contributes to Roux-en-Y gastric bypass-induced adaptation in women.

BACKGROUND: Understanding how skeletal muscle responds to weight loss is crucial for developing targeted strategies to manage obesity and promote sust...

Incomplete Reporting Persists in Orthopedic Machine Learning Models: A Systematic Review of TRIPOD and TRIPOD+AI Reporting Completeness.

BACKGROUND AND OBJECTIVE: Machine learning (ML) prognostic models in orthopedic surgery are published at an accelerating pace, yet whether reporting m...

Evaluating Training Effectiveness for a Technology-Driven Pain Assessment Application: A Cross-Sectional Study.

PURPOSE: Appropriate pain assessment of adults is critical for effective pain management. Technology-driven tools can contribute to improved pain asse...

Balancing technical and social controls across performance measurement and management stages: a bibliometric synthesis of digitally enabled healthcare performance management.

PURPOSE: An integrated, field-level synthesis of digitally enabled performance measurement and management systems (PM/PMS) in healthcare is provided, ...

Development and validation of an integrated machine learning model for recurrence-free survival prediction in clear cell renal cell carcinoma.

BACKGROUND: Integrated multimodal systems improve recurrence-free survival (RFS) prediction in surgically resected clear cell renal cell carcinoma (cc...

Accelerated brain aging and anterior white matter hyperintensity burden in chronic post-stroke aphasia: a lesion-aware MRI analysis.

BACKGROUND AND PURPOSE: Chronic post-stroke aphasia is heterogeneous, and focal lesion models do not fully explain persistent language impairment. We ...

Artificial intelligence predicts recurrent autoimmune hepatitis after liver transplantation in a multicenter cohort study.

BACKGROUND: Autoimmune hepatitis (AIH) is an important indication for liver transplantation (LT), but recurrence affects over 30% of recipients, threa...

Artificial intelligence prediction algorithms for refractive error onset and progression in children and adolescents: A systematic review and meta-analysis.

This systematic review and meta-analysis evaluates the performance of artificial intelligence (AI)-based models for predicting the onset and progressi...

Explainable deep learning self-supervised vision transformer for fundus-based myopia classification.

PURPOSE: To develop and validate a self-supervised vision transformer (ViT) for automated three-class classification of Normal, High Myopia (HM), and ...

Sex differences in microvascular patterns associated with low- and high-risk for cardiovascular disease.

BACKGROUND: The role of the microcirculation in cardiovascular health in males and females is not fully understood. Skin microvascular function can be...

Mapping the global research landscape and knowledge structure of robotic-assisted dental, oral and maxillofacial surgery: a bibliometric analysis.

To systematically characterize the global research landscape, collaboration patterns, and emerging trends in robotic-assisted dental, oral and maxillo...