Refractive Surgery

Artificial intelligence in pediatric myopia - a narrative review.

Establishment of a novel deep learning-based method for gait analysis after peripheral nerve injury in pigs.

BACKGROUND: Peripheral nerve injury with deficits has poor functional prognosis, making motor function assessment during nerve regeneration crucial. Recently, pigs have been used as research animals for peripheral nerve regeneration from a translational perspective. However, the established methods for evaluating motor function remain insufficient, and the development of motor function assessment ...

[Correction of refractive errors by subtractive corneal surgery: History and perspectives].

The goal of this review is to trace the history of refractive correction, from the earliest optical devices to modern refractive surgical techniques. ...

[Imaging modalities for corneal neovascularization].

Corneal neovascularization (CNV) is a frequent complication of many ocular surface diseases and represents a major threat to corneal transparency, vis...

A field boundary dataset for the canadian prairies derived from sentinel-2 imagery using the segment anything model.

This article presents a Prairie-wide spatial vector dataset of agricultural field boundaries across Alberta, Saskatchewan, and Manitoba, Canada. The d...

Perception of AI-generated smile versus real orthodontic treatment outcomes among dentists, students, and laypeople.

In orthodontics, the increasing use of AI-generated smile images in patient communication raises ethical and practical concerns about user perception ...

Longitudinal Investigation of Postural Strategies Associated with Improvement in Gait Speed Following Adult Spinal Deformity Surgery using Machine Learning.

STUDY DESIGN: Retrospective longitudinal cohort study. OBJECTIVE: To identify postural strategies associated with improvement in gait speed following ...

Automated Photothermal Control of Block Copolymer Self‑Assembly and Metal Oxide Nanostructures Sintering.

We report a microscope-based photothermal platform that combines structured laser light projection with machine-learning-optimized illumination to ena...

Profiling of hypoxic and extracellular matrix remodeling markers in biofluids and cerebral tissue after traumatic brain injury: expression and signaling crosstalk of HIF-1α, MMP-9/14 and EPHA2.

Traumatic brain injury (TBI) remains a formidable clinical, neuropathological, and forensic challenge, constituting a leading cause of death as well a...

Estimating major pathological response in non-small cell lung cancer patients with post-neoadjuvant therapy using MMT-net.

Neoadjuvant therapy (NAT) has demonstrated considerable effectiveness in treating locally advanced non-small cell lung cancer (NSCLC). Major pathologi...

Application of machine learning in the research progress of post-kidney transplant rejection.

Post-kidney transplant rejection is a critical factor influencing transplant success rates and the survival of transplanted organs. With the rapid adv...

A framework of hybrid deep learning and nature-inspired algorithms for accurate multi-class fundus disease classification.

Fundus imaging is an essential technique for detecting anatomical changes indicative of various ophthalmological diseases. These alterations-including...

AI-enhanced precision: boosting pathologist confidence in HER2 ultra-low diagnosis through intelligent re-screening.

Accurate assessment of Human Epidermal Growth Factor Receptor 2 (HER2) immunohistochemistry (IHC) expression, particularly the precise identification ...

Leveraging artificial intelligence to accelerate competency development in diagnostic reasoning of medical students.

INTRODUCTION: Diagnostic errors remain a critical patient safety concern, yet teaching diagnostic reasoning is challenging due to its complex, context...

Post-ageing guided closed-loop discovery of multi-element alloy catalysts for automotive exhaust purification.

Multi-element alloy catalysts exhibit tunable electronic structures and remarkable thermal stability, making them promising materials for automotive e...

Predicting 3D Post-Orthodontic Facial Outcomes With a Diffusion Model Trained on Unpaired Datasets.

BACKGROUND: Accurate prediction of facial aesthetics after orthodontic treatment is crucial for clinical planning, yet traditional methodologies often...

Integrating artificial intelligence into nursing practice: Development and clinical evaluation of the NURSYA care model based on Levine's Conservation Principles.

BACKGROUND: Although artificial intelligence (AI) is increasingly used in healthcare, its integration with established nursing theories remains limite...

Routine blood tests and machine learning identify complications in high myopia.

High myopia can lead to cataract, glaucoma, retinal detachment, choroidal neovascularisation, and macular degeneration, causing irreversible vision lo...

Predicting infarct outcomes after extended time window thrombectomy in large vessel occlusion using knowledge guided deep learning.

BACKGROUND: Predicting the final infarct after an extended time window mechanical thrombectomy (MT) is beneficial for treatment planning in acute isch...

Guiding Preventive Care Strategies for Patients With Atherosclerotic Plaque on Coronary CTA: Primary Outcomes of the DECIDE Registry.

BACKGROUND: Artificial intelligence-enabled coronary plaque analysis (AI-CPA) has been shown to improve cardiovascular risk prediction. However, littl...