Surgery

Latest AI and machine learning research in surgery for healthcare professionals.

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White matter characterization in regions of edema surrounding meningioma brain tumor using diffusion MRI

White matter (WM) tract detection is critical in presurgical planning of tumor resection however, st...

Multilevel predictors categorization for post-CABG atrial fibrillation prediction

Postoperative atrial fibrillation (PoAF) is known as common coronary artery bypass grafting (CABG) c...

External Validation of a Machine Learning Model to Predict Postpartum Hemorrhage in a US Northeastern Healthcare System

Postpartum hemorrhage (PPH) is a major cause of maternal morbidity and mortality. Timely prediction ...

Predicting Near-term Mortality in Heart Failure: External Validation of Electronic Health Record-Based Deep Learning Model

The dire consequences of heart failure (HF) patient non-response to guideline directed medical thera...

Incidence, Outcomes and Risk Factors of Cardiac Arrest Among Surgical Patients in the UK Biobank: A Population-Based Cohort Study

Perioperative cardiac arrest (CA) is a devastating surgical complication, yet its epidemiology and r...

Large Language Models for Zero-Shot Procedure Extraction in Orthopedic Surgery: A Comparative Evaluation

Operative notes in electronic health records contain critical information for understanding surgical...

Surgical Information Assistant: an agentic information retrieval system for surgical information and a benchmark dataset

We present the Surgical Information Assistant, an agentic retrieval-augmented generation (RAG) syste...

Surgical Procedure Recognition Using Quantum Machine Learning

Surgical procedure recognition is the process of identifying tasks and gestures done during a surgic...

Optical Microscopy Predictions of Focal Recurrence in Glioblastoma

A hallmark of glioblastoma (GBM) is disease recurrence, which occurs in all patients despite tumor r...

Temperature dominates dengue transmission in Thailand: Machine learning reveals critical thresholds and COVID-19 disruption

Dengue fever remains a critical public health challenge in Thailand, with transmission dynamics driv...

Predictive modeling of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients

Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after sponta...

ECG classification with convolutional neural networks demonstrates resilience to sex-imbalances in data

Many ECG-AI models have been developed to predict a wide range of cardiovascular outcomes. The under...

CardiacGPT™: A Real-Time AI Assistant for Intraoperative Guidance and Postoperative Decision Support in Cardiac Surgery

Cardiac surgery is one of the most complex and high-stakes areas of medicine, where intraoperative d...

A Virtual Patients Ensemble Approach for Predicting Surgical Complications

AI has shown promise in predicting surgical complications, but most existing models estimate overall...

Ensembles of temporal models and forward-backward smoothing for surgical phase recognition

Surgical phase recognition from endoscopic video could enable numerous context-aware technologies th...

Diagnostic Performance of Self-Supervised Foundation Models for Intraoperative Quantification of Hepatic Macrovesicular Steatosis

Accurate intraoperative assessment of macrovesicular steatosis in donor liver biopsies is critical f...

BeatAI: BiomEtrics for Atrial Arrhythmia Tracking Using Artificial Intelligence

Postoperative atrial fibrillation (POAF) affects 20 to 50% of patients undergoing cardiac surgery an...

Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasks

The limited availability of diverse and representative training data poses a critical barrier to the...

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