Surgery

Elevated Retinal Neovascularization on Widefield Optical Coherence Tomography Angiography Predicts Complications in High-Risk Proliferative Diabetic Retinopathy.

PURPOSE: To determine whether retinal neovascularization (RNV) metrics derived from single-shot widefield swept-source OCT angiography (SS-OCTA) predict subsequent vision-threatening complications in eyes with high-risk proliferative diabetic retinopathy (PDR). DESIGN: Prospective case series. PARTICIPANTS: Eyes clinically graded as high-risk PDR at a tertiary care center, followed up for at least...

Artificial Intelligence-Based Prediction of Recurrence and Personalized Treatment Planning in Pediatric Pilonidal Sinus Disease.

PurposeThis study aimed to assess the feasibility of artificial intelligence (AI)-based models for predicting recurrence risk and supporting individualized treatment strategies in pediatric pilonidal sinus disease (PSD).MethodsClinical data from 242 pediatric PSD patients were retrospectively analyzed. Two machine learning (ML) models were developed: (1) a binary classifier for recurrence predicti...

Risk Prediction for Delayed Bleeding After Endoscopic Submucosal Dissection in Colorectal Precancerous Lesions Using Artificial Intelligence: Retrospective Clinical Trial.

BACKGROUND: Delayed bleeding is a common complication after endoscopic submucosal dissection. OBJECTIVE: Our study aimed to assess risk factors for de...

Implementation of deep learning for measurement of penile curvature on real 2D intraoperative images.

BACKGROUND: Penile curvature (PC) may occur in up to 10 % of male births worldwide and is typically associated with the birth defect hypospadias. Whil...

Automated Lymph Node and Extranodal Extension Assessment Improves Risk Stratification in Oropharyngeal Carcinoma.

PURPOSE: Extranodal extension (ENE) is a biomarker in oropharyngeal carcinoma (OPC) but can only be diagnosed via surgical pathology. We applied an au...

Prediction of postoperative delirium after cardiac surgery by the interplay between preoperative plasma p-tau181 and IL-6 and heart-brain axis related factors: results from the prospective observational study FINDERI.

Postoperative delirium (POD) following cardiac surgery is a severe complication. There is evidence of a link between neuroinflammation and neurodegene...

Development and Validation of an Artificial Intelligence Surgical Video Analysis Model for Predicting Visceral Pleural Invasion in Lung Cancer Surgery: A Multicenter Study.

BACKGROUND: Intraoperative diagnosis of visceral pleural invasion (VPI) during video-assisted thoracoscopic surgery (VATS) remains challenging. This s...

Artificial Intelligence in Surgical Research: Transformative Impacts and Evolving Ethical Challenges.

Artificial intelligence (AI) has rapidly emerged as a transformative force in surgical research, driving innovation in preoperative planning, intraope...

A clinical-AI correlation for integrating artificial intelligence into stroke care: a systematized literature review and practice framework.

BACKGROUND AND PURPOSE: The rapid integration of artificial intelligence (AI) into stroke care has outpaced many clinicians' ability to critically eva...

Contemporary Applications of Robotic Systems in Dental Implantology: A Review.

The integration of robotics into dental implantology represents a transformative shift towards enhanced surgical precision, consistency, and reproduci...

Application of large language and artificial intelligence modeling in the prediction of peer-review outcomes.

OBJECTIVE: The rapid development of artificial intelligence (AI) presents an opportunity to streamline the peer-review process and provide key informa...

Predicting postoperative length of stay: a feature selection approach to predictive modeling in lumbar fusion surgery.

BACKGROUND: Predictive modeling has the potential to improve preoperative planning and resource allocation in lumbar fusion surgery. This study aimed ...

Multi-modal sensing in colonoscopy: a data-driven approach.

Soft optical sensors hold potential for enhancing minimally invasive procedures like colonoscopy, yet their complex, multi-modal responses pose signif...

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...

Regional-aware and sequence-informed multi-decoder network for robust brain glioma segmentation in multi-parametric MRI.

Accurate segmentation of glioblastoma subregions from multi-parametric MRI is essential for diagnosis, surgical planning, and treatment monitoring in ...

Cerebral blood flow and modern approaches for clinical assessment & monitoring: a view to the future.

Cerebral blood flow (CBF) is under homeostatic control via cerebral autoregulation, maintaining a constant blood supply to brain parenchyma by integra...

Reduced left atrial strain from 4-dimensional computed tomography predicts atrial fibrillation recurrence after ablation.

BACKGROUND: Existing models that use clinical history and cardiac imaging data remain inadequate for accurate prediction of the success of catheter ab...

Artificial Intelligence-Driven Decision-Making for Knee Joint Manipulation Following Primary Total Knee Arthroplasty.

BACKGROUND: Manipulation under anesthesia (MUA) is a commonly performed procedure to address postoperative stiffness after total knee arthroplasty (TK...

Evaluating the ability of AI chatbots to provide informed consent information for common oncological surgeries.

INTRODUCTION: Informed consent is fundamental to oncological surgery, but communication is often hindered by medical terminology, inconsistent explana...

Explainable machine learning model for predicting early recurrence and distant metastasis after surgery in early-onset colorectal cancer.

OBJECTIVE: To develop explainable machine learning models for predicting the risk of early postoperative recurrence and distant metastasis in patients...