Surgery

Anatomic Features of the Abdomen Predict Donor Site Complications in Deep Inferior Epigastric Artery Perforator Flap Breast Reconstruction: A Machine Learning Approach.

BACKGROUND: Abdominal donor site complications remain significant concerns in Deep Inferior Epigastr...

AURA-CVC: Autonomous Ultrasound-guided Robotic Assistance for Central Venous Catheterization.

PURPOSE: Central venous catheterization (CVC) is a critical medical procedure for vascular access, h...

Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations.

BACKGROUND: Postoperative intensive care unit (ICU) admission affects 15% to 20% of surgical patient...

Automated Delineation of Putative Non-Contrast-Enhancing Tumor in Glioblastoma: Prognostic Insights.

BACKGROUND: Precise delineation of non-contrast-enhancing tumor (nCET) in glioblastoma (GB) is criti...

Endometriosis pain index: development of a model to predict poor pain-related quality of life after endometriosis surgery through machine learning analysis of registry data.

Predictive tools are lacking for pain-related outcomes after endometriosis surgery. The objective of...

[Utilizing machine learning and SHAP analysis to develop a prognostic survival prediction model for gastric cancer patients following radical gastrectomy].

Objective: To construct a prediction model and website for the overall survival (OS) of gastric canc...

Breaking barriers in women's pelvic health: claims-based economic analysis and healthcare utilization of an AI care program compared to usual care.

AIM: To compare healthcare utilization and spending among women enrolled in an employer-sponsored, a...

Minimally Invasive Resection of a Compound Odontoma Assisted by an Autonomous Oral Robot: A Technical Innovation.

This report describes the first clinical application of an autonomous oral robot for minimally invas...

Nomogram based on the pre-treatment systemic oxidative stress score to predict the prognosis of surgically treated patients with oral squamous cell carcinoma: competing risk model analysis.

The aim of this study was to explore the prognostic predictive importance of the pre-treatment syste...

Uncovering the Dynamics of Mucosa-Associated Microbiota in Postoperative Recurrence of Crohn's Disease.

BACKGROUND & AIMS: About 50% to 75% of patients with Crohn's disease (CD) need bowel resection. Post...

Three-dimensional Printing and Surgical Planning for Complex Chest Wall Resections.

Three-dimensional printing is increasingly used in the planning and reconstruction of complex chest ...

Artificial Intelligence-Assisted Anatomical Recognition System-Guided Robotic Total Mesorectal Excision and Autonomic Nerve Preservation for Rectal Neuroendocrine Tumor.

Predicting Hypertension Persistence in Coarctation of the Aorta: A Feasibility Study.

Hypertension (HTN), despite contemporary endovascular repair, is a common and challenging complicati...

Automated Melanocytic Lesion Classification: Capsule Networks Trained With Synthetic Images Can Outperform Networks Trained With Real Images.

BACKGROUND/OBJECTIVES: Convolutional neural networks (CNNs) are known, due to inherent flaws in thei...

Transcatheter aortic valve implantation for symptomatic severe aortic stenosis and its expanding clinical indications.

Transcatheter aortic valve implantation (TAVI) is a minimally invasive treatment for symptomatic sev...

Label-free saliva screening platform using M13 bacteriophage-based 3D plasmonic structures for MRONJ diagnosis.

Medication-related osteonecrosis of the jaw (MRONJ) is a severe complication associated with antires...

Protocol for the development and validation of a questionnaire to evaluate user-robot interaction in the compounding of hazardous drugs in a hospital setting.

INTRODUCTION: The automation of hazardous drug preparation in hospitals using robotic systems is an ...

Machine Learning Integration of MRI Intratumoral and Peritumoral Radiomics Features for Predicting PNSTs Postoperative Complications.

RATIONALE AND OBJECTIVES: Postoperative complications (15-76%) substantially affect patients with pe...

Ethical and legal challenges of integrating artificial intelligence into paediatric surgery.

INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being trialled with applica...

Navigated hepatic tumor resection using intraoperative ultrasound imaging.

PURPOSE: This proof-of-concept study evaluates the feasibility and accuracy of an ultrasound-based n...

The Predictive Value of Machine Learning for Postoperative Delirium in Cardiac Surgery: Systematic Review and Meta-Analysis.

BACKGROUND: Postoperative delirium (POD) following cardiac surgery is a severe complication, and ear...