Refractive Surgery

Artificial intelligence-based detection of acute postoperative airway complications following anterior cervical spine surgery: a retrospective imaging evaluation.

STUDY DESIGN: Retrospective imaging evaluation using an artificial intelligence (AI)-generated model. PURPOSE: To develop novel AI software for early prediction and identification of postoperative airway obstruction based on routine post-operative imaging. OVERVIEW OF LITERATURE: Acute postoperative airway obstruction following anterior cervical spine surgery due to edema or hematoma is rare but p...

Prediction of post-COVID chronic fatigue syndrome using data mining and machine learning techniques in Isfahan COVID cohort study.

BACKGROUND: Post-COVID Fatigue (PCF) is one of the most common issues people face after recovering from COVID-19. Due to the heterogeneity of clinical manifestations and the lack of objective diagnostic criteria, the identification and prediction of PCF remain challenging. This study aimed to use data mining and machine learning techniques for prediction of PCF. METHODS: We analyzed data from 3850...

Comprehensive multi-method analysis of blood heavy metals and nutrient intake in myopia and high myopia.

AI-supported qualitative analysis of free-text responses on home care burden and support needs in Saxony.

The number of people in Germany requiring care has risen steadily, increasing the importance of informal care. This form of care is often associated w...

AI-based segmentation of gingival display for gummy smile assessment: Model development and clinical validation.

OBJECTIVES: This study aimed to develop and validate an artificial intelligence (AI)-based model for quantitatively assessing gingival display during ...

Old Dogs Can Learn New Tricks: Artificial Intelligence Improves Adenoma Detection Rates in Screening Colonoscopies in Experienced Endoscopists.

BACKGROUND: A high adenoma detection rate in screening colonoscopy is associated with decreased rates of post-colonoscopy colorectal cancer. The use o...

Anterior midcingulate cortex activity during pain catastrophizing predicts and sequentially tracks reduction in pain interference after cognitive behavioral therapy in fibromyalgia.

Fibromyalgia (FM) is a chronic pain disorder characterized by widespread pain, fatigue, and functional disability. Cognitive behavioral therapy (CBT) ...

Identifying Bariatric Surgery Patients With the Most Favorable Cost Outcomes.

OBJECTIVE: To examine whether the economic benefits of bariatric surgery differ by patient subgroups, with the aim of identifying those that may yield...

Predicting Post-Induction Hypotension in Diverse Surgical Populations: A Multiclass Classification Universal Model Using Machine Learning Techniques.

PURPOSE: Our study aims to develop a machine learning model that not only predicts the occurrence of post-induction hypotension (PIH) but also assesse...

Dynamic machine learning prediction of persistent AKI after cardiac surgery with modifiable perioperative risk factors.

Early identification and prevention of persistent acute kidney injury (pAKI) remain challenging due to delayed biochemical markers and limited tools t...

The Best Reanimation Option for Early Stage Facial Paralysis: Triple Nerve Transfers Short-Term Outcomes.

INTRODUCTION: Facial paralysis is a challenging condition that affects both function and quality of life. Numerous surgical techniques have been descr...

Deep learning-based non-contrast CT imaging markers enhance post-transfer DWI core volume prediction.

BACKGROUND: Deep learning enables the extraction of ischemic lesion size and hypodensity imaging markers from noncontrast CT (DLNCCT) in patients with...

Development and Validation of Multinomial Logistic Regression and Machine Learning Algorithms for Identifying Refractive Status in Chinese School Aged Children.

PURPOSE: To develop and validate models to identify pre-myopic children from their myopic and hyperopic peers using ocular biometry and demographic da...

Gene expression and machine learning techniques uncover corneal biomarkers associated with oxidative stress in the myopia progression.

This study aimed to identify and validate corneal biomarkers underlying myopia using human corneal tissues. Gene expression data were analyzed to inve...

Practical Integration of Bedside Real-Time Lung Ultrasound and Electrical Impedance Tomography for Guiding Personalized Perioperative Lung Protective Ventilation in Cardiothoracic and Vascular Anesthesia.

Patients undergoing cardiothoracic and vascular surgery are at uniquely high risk for postoperative pulmonary complications due to the confluence of s...

Clinical Validation of Apollo™, A Novel Web-Based Tool for Refractive Error Self-Assessment.

Refractive errors are a leading cause of visual impairment, with substantial economic impact. Digital refraction systems may help improve access to ey...

A Randomised Study of ChatGPT-4o vs. Written Materials for Teaching Periodontal-Systemic Relationships in Dental Education.

INTRODUCTION: The bidirectional relationship between periodontal and systemic diseases (particularly diabetes and cardiovascular diseases) is central ...

Fundus tessellation density as a quantitative marker of myopia progression: a five-year longitudinal deep learning study.

Reducing breath-hold time in liver MRI: Clinical performance of deep learning-accelerated post-contrast T1 VIBE sequences.

BACKGROUND: Post-contrast liver MRI often requires long breath-holds, risking motion artifacts that can reduce diagnostic quality. We assessed whether...

Resuscitation 2025 congress: launch of the resuscitation guidelines, scientific advances, education, equity, and innovation across the chain of survival.

The European Resuscitation Council (ERC) Congress - Resuscitation 2025 was held in Rotterdam as a fully in-person international meeting and served as ...