Surgery

Changes in liver resections and associated outcomes over thirty years: a nationwide analysis using a machine learning approach.

BACKGROUND: In contrast to three decades ago, liver resection (LR) is now an increasingly common procedure. This study aims to evaluate changes in the number and indications of liver resections for malignancy over the past 30 years in the Netherlands and the associated survival outcomes. METHOD: All records of surgical resections for liver tumors performed between 1991 and 2020 were extracted from...

Artificial Intelligence-Driven Multimodal Prediction of 10-Year Incident Glaucoma Integrating Genetic and Deep Learning-Derived Imaging Features.

PURPOSE: Glaucoma is the leading cause of irreversible blindness worldwide. It often remains asymptomatic until advanced stages. Hence, accurate prediction of glaucoma is crucial for timely intervention to prevent vision loss. DESIGN: Population-based prospective cohort study. SUBJECTS: The UK Biobank participants had available color fundus photographs (CFPs), genetic data, and ocular measurements...

A transformer-based multimodal deep learning model for preoperative prediction of Ki-67 expression level in glioma.

PURPOSE: The aim of this study is to develop a deep learning model using preoperative multimodal MR data to predict the Ki-67 expression level of glio...

AI-Driven Synthesis in Medicinal Chemistry: Integrating Large Language Models, Robotic Automation, and Sustainability Metrics to Accelerate Drug Discovery.

Artificial intelligence (AI) is transforming synthetic chemistry from task-specific predictors into integrated platforms that unify retrosynthesis, re...

Predicting PPOI secondary to laparoscopic radical resection of rectal cancer combined with lobaplatin hyperthermic intraperitoneal chemotherapy: a multi-center study.

PURPOSE: PPOI is one of the common complications of intraperitoneal hyperthermic chemotherapy during laparoscopic radical resection of rectal cancer, ...

NIH Funding for Artificial Intelligence in Surgical Specialties: Allocation and Alignment with US Disease Burden.

BACKGROUND: National Institutes of Health (NIH) investment in artificial intelligence (AI) within surgical specialties is rapidly expanding, yet wheth...

Postoperative Inflammatory and Nutritional Biomarkers for Predicting Anastomotic Leakage After Ovarian Cancer Surgery: A Multicenter Study.

BackgroundUltra-radical cytoreductive surgery is frequently performed for patients with advanced ovarian cancer (OC). However, anastomotic leakage (AL...

Multitask Artificial Intelligence-Based Electrocardiogram Tool for Preoperative Cardiac Testing in Noncardiac Surgery: Retrospective Cohort Study of Health Care Utilization and Costs.

BACKGROUND: Preoperative cardiovascular risk stratification is essential in noncardiac surgery, but conventional testing is frequently overused, incre...

Comparison Between Artificial Intelligence-Based Models and Traditional Risk Scores for Predicting Risks in Adult Cardiothoracic Surgery: A Systematic Review.

INTRODUCTION: Conventional risk scores like EuroSCORE II and Society of Thoracic Surgeons models, derived from logistic regression, may not fully repr...

Evaluating generative AI responses at the 3-month timepoint following total knee arthroplasty.

BACKGROUND: Patients increasingly seek health information prior to and following total knee arthroplasty (TKA), often using generative AI chatbots int...

Prediction of waste shear strength parameters in open dumps using electrical resistivity tomography and composition data through machine learning approaches.

The assessment of municipal solid waste (MSW) stability in open dumps presents significant challenges due to heterogeneity, biodegradation processes, ...

Machine Learning-Based Identification of Distinct Risk Factors for Moderate vs Severe Proximal Junctional Kyphosis After Adult Spinal Deformity Surgery.

BACKGROUND CONTEXT: Proximal junctional kyphosis (PJK) is a well-recognized complication of adult spinal deformity (ASD) surgery. However, traditional...

Beyond Diagnosis: AI-Based Surgical Risk Assessment in Acanthamoeba Keratitis with Real-World Validation.

PURPOSE: Acanthamoeba keratitis (AK) is a sight-threatening infection in which delayed diagnosis can lead to surgical intervention. This study aimed t...

Real-world impact of artificial intelligence on adenoma detection: A cross-sectional study at a single center in Lima, Peru.

INTRODUCTION: The use of artificial intelligence (AI) in endoscopic studies has grown in recent years. The present study evaluates the performance of ...

Heterogeneity of Clazosentan Benefit after Aneurysmal Subarachnoid Hemorrhage Demonstrated in an Externally Validated Causal Policy Tree.

BACKGROUND: Clazosentan reduces angiographic vasospasm after aneurysmal subarachnoid hemorrhage (aSAH), but functional benefit may vary across patient...

Leveraging Natural Language Processing and Structured Scoring to Evaluate Operative Note Quality in Surgical Training.

OBJECTIVE: To evaluate resident versus attending operative notes using a two-phase approach combining natural language processing (NLP) diffing and st...

Multimodal Deep Learning for Predicting Deep Vein Thrombosis Risk After Total Knee Arthroplasty: A Clinical Study.

BACKGROUND: Deep vein thrombosis (DVT) following total knee arthroplasty (TKA) remains a major postoperative complication. Conventional risk assessmen...

Machine learning to identify novel bleeding and residual thromboembolic risks in patients on anticoagulation.

Balancing thromboembolic prevention against bleeding risk remains a key challenge during oral anticoagulant (OAC) therapy. CHA₂DS₂-VASc cannot predict...

AI-Driven Preoperative Chest Radiograph Analysis for Prognostic Stratification in Surgically Resected Pathological Stage 1 Non-Small Cell Lung Cancer.

The purpose of the study is to investigate the potential of artificial intelligence (AI)-driven analysis of preoperative chest radiograph (CXR) for pr...

Longitudinal patient-reported outcomes after spinal fusion for adolescent idiopathic scoliosis: recovery trajectories and insights into surgical timing.

PURPOSE: Health-related quality-of-life (HRQOL) assessment provides insight into patient's subjective experiences that complement traditional clinical...