Refractive Surgery

Artificial Intelligence-Based Delirium Prediction Model for Post-Cardiac Surgery Patients: A Scoping Review.

BACKGROUND: Delirium is a common complication following cardiac surgery and significantly affects patient prognosis and quality of life. Recently, the application of artificial intelligence (AI) has gained prominence in predicting and assessing the risk of postoperative delirium, showing considerable potential in clinical settings. OBJECTIVE: This scoping review summarises existing research on AI-...

Machine Learning-Based Prediction for Axial Pain Following Expansive Unilateral Open-Door Laminoplasty: A Retrospective Cohort Study.

INTRODUCTION: Axial pain is a common complication following expansive unilateral open-door laminoplasty (ELAP); however, traditional statistical methods are unable to effectively predict this complication. This study developed machine learning (ML) models to predict post-ELAP axial pain and identify key predictors. METHODS: This retrospective study enrolled 851 cervical spondylotic myelopathy (CSM...

Usefulness of metal artifact reduction on CT angiography after massive coil embolization in peripheral AVM.

PURPOSE: To evaluate the image quality of three reconstruction methods-filtered back projection (FBP), adaptive statistical iterative reconstruction (...

Utility of an LLM-powered experts-in-the-loop chatbot for pre- and post-operative care of cataract surgery patients.

PurposeTo evaluate the utility of CataractBot, an LLM (Large Language Model)-powered chatbot that provides doctor-verified answers to patient question...

The engagement behaviors and treatment barriers for depressed patients in an online health community: a pre-/post-treatment comparison.

The treatment of depression involves numerous barriers, both before and after individuals seek professional care. Online health communities (OHCs) hav...

3D Automated Segmentation of Bronchial Abnormalities on Ultrashort Echo Time MRI: A Quantitative MR Outcome in Cystic Fibrosis.

BACKGROUND: Cystic fibrosis (CF) monitoring relies on computed tomography (CT), but ultra-short echo time MRI (UTE-MRI) offers a radiation-free altern...

Overcoming the warming bottleneck in animal vitrification: Volumetric heating and enabling technologies for reproductive cryobanking.

Reproductive cryopreservation via vitrification is vital for livestock breeding and biodiversity conservation, as it enables ice-free storage of gamet...

Anomaly changes in the functional connectome of post-operative neurosurgical patients: A case series.

PURPOSE: The use of neuronavigation with superimposed mapping tools has enabled visualization of key fiber tracts and improved peri-operative planning...

Smart transplant+: A HyCARE hybrid AI-cloud framework for intelligent donor-recipient matching, workflow automation, and post-transplant optimization.

Organ transplantation is a life-saving medical intervention to reverse end-stage organ failure. Despite its life-saving potential, organ transplantati...

Interpretable machine learning model based on blood parameters for screening high myopia.

OBJECTIVE: To develop an interpretable machine learning (ML) model using routine blood parameters for high myopia (HM) screening as a convenient and c...

Deep learning-based image reconstruction significantly improves image quality of MRI examinations of the orbit at 3 Tesla.

PURPOSE: The purpose of this study was to assess the benefit of a deep learning-based image reconstruction (DLBIR) for improving image quality in orbi...

Choroidal volume decrease associated with stromal regression in adult myopia: A high-resolution optical coherence tomography angiography study.

PURPOSE: Observing choroidal volume changes in myopia with various degrees via spectral-domain optical coherence tomography (SD-OCT) images. METHODS: ...

Retinal Age Gap as a Biomarker for Patient Satisfaction and Visual Quality After Cataract Surgery.

PURPOSE: To evaluate whether the difference between artificial intelligence (AI)-estimated retinal biological age and chronological age-the retinal ag...

AI landmark versus conventional ultrasound-guided injections for adhesive capsulitis: a prospective, propensity score-matched, superiority study.

AIM: To investigate the artificial Intelligence (AI) landmark for guiding rotator cuff interval injections for adhesive capsulitis (AC). MATERIAL AND ...

Deep learning-based combined noise reduction and contrast enhancement for post-neoadjuvant pancreatic cancer CT: does improved image quality translate to better resectability assessment?

PURPOSE: To evaluate whether deep learning-based combined noise reduction and contrast enhancement reconstruction (DLR) improves image quality and res...

Impact of hypotension prediction index-guided management on intraoperative hypotension and postoperative outcomes in abdominal surgery: A meta-analysis of randomized controlled trials.

BACKGROUND: The Hypotension Prediction Index (HPI) is a machine-learning algorithm designed to predict hypotension. by maintaining mean arterial press...

An Interpretable Machine Learning Model for Early Multitemporal Prediction of Onset of Acute Kidney Injury in Intensive Care Unit Patients with Severe Trauma.

Background: Acute Kidney Injury (AKI), a leading organ failure cause in critical patients, demands early high-risk identification to enhance outcomes....

Comparing the Effectiveness of a Robotic and Dynamic Navigation System in Fiber Post removal: An In Vitro Study.

INTRODUCTION: This in vitro study evaluated the effectiveness of a robotic system (RS) and dynamic navigation system (DNS) compared with the freehand ...

A data-driven modeling approach to prediction of persistent foot drop after gastroc-soleus lengthening surgery in children with cerebral palsy.

BACKGROUND: Gastrocsoleus lengthening (GSL) is an established surgical intervention for equinus deformity in children with cerebral palsy (CP). While ...

Tumoral Skin Invasion Is an Independent Predictor of Rapid Recurrence in Head and Neck Cancer.

BACKGROUND: Head and neck squamous cell carcinoma (HNSCC) is an aggressive malignancy, with 50% of patients recurring. A subset of patients experience...