Surgery

Multicenter machine learning model using clinical and radiomic features for prediction of postoperative residual status in meningioma.

OBJECTIVE: Gross-total resection is the primary surgical objective in meningioma management; however...

Robotic sorting and artificial intelligence in material recovery facilities: a review of published research and expert perspectives.

Material Recovery Facilities (MRFs) are essential to municipal recycling infrastructure, but face di...

Multiparametric MRI-Based Ensemble Deep Learning for Preoperative Classification of Pituitary Neuroendocrine Tumor Subtypes.

RATIONALE AND OBJECTIVES: Pituitary neuroendocrine tumors (PitNETs) exhibit diverse biological behav...

A Clinically Aligned Two-Stage Machine Learning Framework for Predicting Hungry Bone Syndrome After Parathyroidectomy.

BACKGROUND: Hungry bone syndrome (HBS) is a frequent and clinically significant complication followi...

Development and Clinical Utility of Machine Learning Models for Prediction of Same-Day Discharge in Outpatient Hip and Knee Replacement: A Prognostic Study.

BACKGROUND: Hip and knee replacement are common procedures with an increasing focus on same-day surg...

Artificial intelligence-based tumour infiltrating lymphocyte quantification in patients with triple-negative breast cancer: an independent validation study.

BACKGROUND: Tumour-infiltrating lymphocytes (TILs) are a robust prognostic marker in patients with t...

Artificial intelligence as a clinical capability enhancer in minimally invasive gynecologic surgery.

Development and Validation of an Interpretable Machine Learning Model for Predicting ICU-Acquired Weakness in Postoperative Patients.

BACKGROUND: ICU-acquired weakness (ICU-AW) is a common and debilitating complication among criticall...

Leveraging Artificial Intelligence to Improve Perioperative Staffing Consistency: A Quality Improvement Initiative at a Large Academic Medical Center.

A large academic medical center in the Pacific Northwest addressed perioperative staffing challenges...

The Evolution and Global Impact of Uniportal Endoscopic Spine Surgery : A Korean Perspective and Historical Legacy.

Uniportal full-endoscopic spine surgery (FESS) has expanded over three decades from percutaneous dis...

Effect of a Machine Learning Algorithm to Guide Goal-Directed Therapy After Cardiac Surgery.

BACKGROUND: Goal-directed therapy allows clinicians to optimize perfusion and volume status in patie...

Recent advances: Augmented reality, robotics, and navigation in oculoplasty and orbit.

Oculoplasty and orbital surgeries demand high precision due to confined anatomy and nearby critical ...

The Usefulness of Machine Learning Models to Predict Patient-Reported Outcome Measures in Chronic Rhinosinusitis With Nasal Polyps.

BACKGROUND AND OBJECTIVE: The treatment available for chronic rhinosinusitis with nasal polyps (CRSw...

Kidney stones composition prediction using artificial intelligence (KiSCAI) study.

OBJECTIVES: To develop and validate explainable machine learning (ML) models predicting urinary ston...

A Habitat Imaging-Based Radiomics and Deep Learning Fusion for Preoperative Prediction of Lymphovascular Invasion in Invasive Breast Cancer: A Multicenter Study.

BACKGROUND: Lymphovascular invasion (LVI) is a critical prognostic factor in invasive breast cancer;...

Machine learning for predicting stone-free rate after retrograde intrarenal surgery: Comparison with the T.O.HO. score.

Urolithiasis remains a significant clinical burden, and accurately predicting stone-free status afte...

Are artificial intelligence systems ready for pediatric surgical decision-making? A comparative evaluation of large language models versus pediatric surgeons.

PURPOSE: This study aimed to compare the diagnostic, investigative, and treatment decisions generate...

Evolution of Scientific Trends in Oral and Maxillofacial Surgery in the Last Decade.

BACKGROUND: Oral and maxillofacial surgery (OMFS) has undergone rapid scientific evolution over the ...

Advancements in Pediatric Moyamoya Disease: A Critical Review of Surgical Decision-Making, Outcomes, and Future Directions.

Pediatric moyamoya disease (MMD) is a progressive steno-occlusive arteriopathy that carries a high r...

From metabolite mapping to precision imaging: advances in in vivo MR spectroscopy of brain tumours.

Magnetic resonance spectroscopy (MRS) provides non-invasive in vivo assessment of brain tumour metab...

Objective technical skills assessment in laparoscopic cholecystectomy: a systematic review of manual, kinematic, and AI-based tools.

BACKGROUND: Technical errors during surgery are a major contributor to preventable adverse outcomes,...