Surgery

Evaluating Dynamic Smile Outcomes of Free Gracilis Muscle Transfer in Pediatric Facial Palsy Using Image-Based Analysis.

BACKGROUND: Facial nerve palsy in children leads to significant functional impairment and facial asymmetry. While free gracilis muscle transfer (FGMT) is a cornerstone technique for smile reanimation in both pediatric and adult patients, its evaluation has mainly focused on the single metric of commissure excursion. This study seeks to evaluate the effectiveness of FGMT in restoring dynamic smiles...

Advances in non-invasive diagnostic tools for endometriosis: A narrative review of the past ten years.

Endometriosis is a chronic condition defined by endometrium-like tissue outside the uterus, with symptoms including pain, infertility, and fatigue. Despite the high prevalence of disease, diagnosis is frequently delayed, in part due to reliance on invasive procedures such as laparoscopy. Over the past decade, scientific research and international collaborations have focused on the development of n...

A Dynamic Machine Learning Model to Predict Angiographic Vasospasm After Aneurysmal Subarachnoid Hemorrhage.

BACKGROUND AND OBJECTIVES: The goal of this study was to develop a highly precise, dynamic machine learning model centered on daily transcranial Doppl...

Machine Learning Model for Predicting Visual Acuity Improvement After Intrastromal Corneal Ring Surgery in Patients With Keratoconus.

BACKGROUND: Keratoconus is a progressive, degenerative corneal disease that can lead to significant visual impairment. The intrastromal ring segment i...

Machine learning-driven inverse design of puncture needles with tailored mechanics.

BACKGROUND: In minimally invasive surgery, designing puncture needles with customizable structures to achieve personalized puncture performance is a s...

EuroSCORE II: Current limitations and physiological gaps in risk stratification.

Risk stratification remains critical in cardiac surgery, enabling clinicians to predict adverse outcomes and guide perioperative management. The Europ...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading cause of vision impairment worldwide. Despite advancem...

Deep Learning-Based Prediction for Bone Cement Leakage During Percutaneous Kyphoplasty Using Preoperative Computed Tomography: Model Development and Validation.

STUDY DESIGN: Retrospective study. OBJECTIVE: To develop a deep learning (DL) model to predict bone cement leakage (BCL) subtypes during percutaneous ...

Evaluating predictive performance and generalizability of traditional and artificial intelligence models in predicting surgical site infections postspinal surgery: a systematic review.

BACKGROUND CONTEXT: Surgical site infections (SSIs) are a significant complication following spinal surgery. These infections contribute to increased ...

The association between cerebral small vessel disease and unfavorable hematoma morphology in primary intracerebral hemorrhage.

OBJECTIVE: To study the association between cerebral small vessel diseases (CSVD) and unfavorable hematoma morphology in primary intracerebral hemorrh...

Artificial intelligence-based action recognition and skill assessment in robotic cardiac surgery simulation: a feasibility study.

To create a deep neural network capable of recognizing basic surgical actions and categorizing surgeons based on their skills using video data only. N...

Impact of three-dimensional prostate models during robot-assisted radical prostatectomy on surgical margins and functional outcomes.

BACKGROUND: Robot-assisted radical prostatectomy (RARP) is the standard surgical procedure for the treatment of prostate cancer. RARP requires a trade...

Multimodal deep learning for cephalometric landmark detection and treatment prediction.

In orthodontics and maxillofacial surgery, accurate cephalometric analysis and treatment outcome prediction are critical for clinical decision-making....

Prediction of gastrointestinal hemorrhage in cardiology inpatients using an interpretable XGBoost model.

Gastrointestinal bleeding (GIB) occurs more frequently in cardiovascular patients than in the general population, significantly affecting morbidity an...

Development and validation of a machine learning-based nomogram for survival prediction of patients with hilar cholangiocarcinoma after curative-intent resection.

Hilar cholangiocarcinoma (hCCA), a rare cancer of the biliary system, has a poor prognosis. This study aimed to investigate the risk factors affecting...

AI-driven robotic surgery in oncology: advancing precision, personalization, and patient outcomes.

Artificial intelligence (AI) integrated with robotic systems is transforming oncologic surgery by significantly improving precision, safety, and perso...

Evaluating the Accuracy and Readability of ChatGPT in Addressing Patient Queries on Adult Spinal Deformity Surgery.

Study DesignCross-Sectional.ObjectivesAdult spinal deformity (ASD) affects 68% of the elderly, with surgical intervention carrying complication rates ...

Recurrence prediction of invasive ductal carcinoma from preoperative contrast-enhanced computed tomography using deep convolutional neural network.

Predicting the risk of breast cancer recurrence is crucial for guiding therapeutic strategies, including enhanced surveillance and the consideration o...

Multi-class subarachnoid hemorrhage severity prediction: addressing challenges in predicting rare outcomes.

Accurately predicting the severity of subarachnoid hemorrhage (SAH) is critical for informing clinical decisions and improving patient outcomes. This ...

Acute Management of Nasal Bone Fractures: A Systematic Review and Practice Management Guideline.

Nasal bone fractures represent the most common facial skeletal injury, challenging both function and aesthetics. This Preferred Reporting Items for Sy...