Surgery

Educational Impact of Automated Feedback Systems in Surgical Training: A Systematic Review With Quantitative Synthesis.

OBJECTIVE: To evaluate the impact of automated feedback systems (AFS) on technical surgical skill acquisition in individuals undergoing surgical skills training. DESIGN: PRISMA-guided systematic review of studies published between May 2013 and December 2024. Four databases were searched. Eligible studies compared AFS with no feedback or assessed the impact of AFS on technical skill. Risk of bias w...

Identifying Post-Surgical Recurrence Subtype of T1 Stage Colorectal Cancer by Machine Learning.

INTRODUCTION: Traditional risk stratification heavily relies on expert judgment and manually established thresholds. This study aims to automatically identify subtypes in the patients of T1-stage colorectal cancer with distinct clinicopathologic characteristics and recurrence risk profiles, using machine learning. METHODS: We analyzed data from 3,367 patients (mean follow-up, 1281 days) with T1 co...

Hemodynamics-driven magnetoelastic vascular grafts for stenosis diagnosis.

Conventional approaches for vascular graft stenosis diagnostics, including X-ray angiography, magnetic resonance imaging and Doppler ultrasound, altho...

Development of machine learning prediction models for postoperative outcomes in adult male circumcision.

BACKGROUND: Male circumcision is among the most commonly performed and clinically endorsed surgical procedures globally, deeply rooted in medical, cul...

Artificial intelligence in trauma care: applications, ethical challenges, and pathways toward responsible integration.

PURPOSE OF REVIEW: Artificial intelligence is increasingly applied across the trauma care continuum, from prehospital triage to in-hospital decision-m...

Development of a hybrid deep learning-based framework for liver fibrosis classification using ultrasound images.

BACKGROUND AND AIMS: Liver fibrosis is a progressive accumulation of extracellular matrix proteins with distortion of hepatic architecture and can pro...

A machine learning model for accurate prediction of CMV end-organ disease.

BACKGROUND: Cytomegalovirus (CMV) End-Organ Disease (EOD) remains a significant complication in immunocompromised individuals, particularly transplant...

Reinjury risk after ACL reconstruction: a scoping review of artificial intelligence-based prediction models.

BACKGROUND: ACL reinjury after reconstruction remains a major challenge, affecting long-term function, return to sport and healthcare costs. Although ...

Coronary revascularization: a long-term perspective.

This paper will forecast advancements in coronary revascularization by 2040, drawing on historical trends and recent breakthroughs. Having forecasted ...

Machine Learning Algorithm to Predict Change in the Decision-Making for Thoracolumbar Fractures Without Neurological Deficit After MRI: A Multicenter Study.

Study DesignA multicenter study.ObjectiveTo develop a machine learning algorithm to predict when magnetic resonance imaging (MRI) may change the thora...

Enhancing Surgeons' Cognitive Performance in Colorectal Surgery: A Narrative Review.

BACKGROUND: Colorectal surgery continues to exhibit variability in outcomes despite advancements in minimally invasive and robotic techniques. Increas...

Artificial intelligence-driven predictive analytics for postoperative management and recovery in trauma patients.

PURPOSE OF REVIEW: Post-traumatic care is evolving from a reactive, protocol-driven paradigm to a predictive, personalized approach. This review exami...

Commentary: Verify before trust: real-world application of an FDA-approved adult-trained artificial intelligence model for intracranial hemorrhage detection in children.

Deep learning for the change-point Cox model with current status data.

This study develops estimation methods for a deep partially linear Cox proportional hazards model with a change point under current status data, aimin...

Exfoliated kidney cells from urine for non-invasive kidney transplant monitoring: A potential opportunity?

Kidney transplantation is usually the optimal treatment option for patients living with kidney failure given its associations with improved survival, ...

Precision imaging and evolving therapies in paragangliomas and pheochromocytomas: from molecular diagnostics to imaging-guided management.

Pheochromocytomas and paragangliomas (PPGLs) are rare neuroendocrine tumors originating from neural crest-derived chromaffin tissue, marked by clinica...

Spectral CT imaging in colorectal cancer: current applications, limitations, and future perspectives.

Colorectal cancer (CRC) is the third most common malignancy worldwide, and early detection is vital to prevent metastasis and postoperative recurrence...

ChatGPT-4 reliability when applied to the regional anesthesia technique sonoanatomy.

BACKGROUND: Ultrasound-guided regional anesthesia is commonly used to enhance perioperative analgesia. However, the technique is limited by inter-oper...

Early Prediction of Adverse Stroke Outcomes using Non-clinical Factors and Missing Data: A Machine Learning Study.

Introduction Early prediction of stroke outcomes using prognostic tools may help clinical decision making and inform resource allocation. However, cli...

Radiomics for the Prediction of Postoperative Chronic Kidney Disease in Renal Tumor Patients undergoing Surgical Resection.

OBJECTIVE: Chronic kidney disease (CKD) is a significant concern following renal tumor surgery, impacting long-term renal function and patient outcome...