Surgery

From Sensors to Care: How Robotic Skin Is Transforming Modern Healthcare-A Mini Review.

In recent years, robotics has made notable progress, becoming an essential component of daily life b...

Integrating SHAP analysis with machine learning to predict postpartum hemorrhage in vaginal births.

OBJECTIVE: This study aimed to develop a machine learning (ML) model integrated with SHapley Additiv...

Surgical and radiological outcomes of giant cell tumor of the bone: prognostic value of Campanacci grading and selective use of denosumab.

BACKGROUND: Advancements in diagnostic and therapeutic modalities for giant cell tumors of bone (GCT...

Interpretable machine learning model for predicting post-hepatectomy liver failure in hepatocellular carcinoma.

Post-hepatectomy liver failure (PHLF) is a severe complication following liver surgery. We aimed to ...

Multi-objective optimization framework to plan laser ablation procedure for prostate tumors through a genetic algorithm.

BACKGROUND AND OBJECTIVES: Prostate cancer is the most common form of cancer in the male population....

Development and external validation of a model for post-endoscopic retrograde cholangiopancreatography pancreatitis.

Post-endoscopic retrograde cholangiopancreatography (ERCP) pancreatitis (PEP) is a common complicati...

Postoperative physiotherapy interventions in hospitalized adults undergoing pulmonary resection surgery. A protocol for a scoping review.

Patients undergoing lung resection surgery (LRS) may experience various postoperative complications,...

Predicting Transvaginal Surgical Mesh Exposure Outcomes Using an Integrated Dataset of Blood Cytokine Levels and Medical Record Data: Machine Learning Approach.

BACKGROUND: Transvaginal insertion of polypropylene mesh was extensively used in surgical procedures...

Machine learning-based prediction of postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy.

BACKGROUND: Clinically relevant postoperative pancreatic fistula (CR-POPF) following laparoscopic pa...

Pioneering AI-guided fluorescence-like navigation in urological surgery: real-time ureter segmentation during robot-assisted radical cystectomy using convolutional neural network.

Artificial intelligence (AI)-driven intraoperative navigation in urological surgery can enhance surg...

Generative Artificial Intelligence Accuracy in Interpreting Forest Plots in Pediatric Surgery Meta-analyses: A Perspective From Pediatric Surgery Meta-analysis Study Group (PESMA).

ConsisTNet: a spatio-temporal approach for consistent anatomical localization in endoscopic pituitary surgery.

PURPOSE: Automated localization of critical anatomical structures in endoscopic pituitary surgery is...

A deep-learning algorithm using real-time collected intraoperative vital sign signals for predicting acute kidney injury after major non-cardiac surgeries: A modelling study.

BACKGROUND: Postoperative acute kidney injury (PO-AKI) prediction models for non-cardiac major surge...

Development and precision evaluation of a robotic system for oral implant surgery using personalized digital guides and optical spatial positioning technology.

Oral implant surgery demands a high level of precision and expertise, making the integration of robo...

Enhanced Brain Functional Interaction Following BCI-Guided Supernumerary Robotic Finger Training Based on Sixth-Finger Motor Imagery.

Supernumerary robotic finger (SRF) has shown unique advantages in the field of motor augmentation an...

Construction of a Multimodal Machine Learning Model for Papillary Thyroid Carcinoma Based on Pathomics and Ultrasound Radiomics Dataset.

The use of machine learning to integrate and analyse multimodal information has broad prospects for ...

Machine Learning-Based Radiomics in Malignancy Prediction of Pancreatic Cystic Lesions: Evidence from Cyst Fluid Multi-Omics.

The malignant potential of pancreatic cystic lesions (PCLs) varies dramatically, leading to difficul...

Machine learning-based prediction of the necessity for the surgical treatment of distal radius fractures.

BACKGROUND: Treatments for distal radius fractures (DRFs) are determined by various factors. Therefo...

Prediction of coronal alignment in robotic-assisted total knee arthroplasty with artificial intelligence.

INTRODUCTION: Robotic-assisted technologies provide the ability to avoid soft tissue release by util...

Enhancing Patient Acceptance of Robotic Ultrasound through Conversational Virtual Agent and Immersive Visualizations.

Robotic ultrasound systems have the potential to improve medical diagnostics, but patient acceptance...

A pioneering artificial intelligence tool to predict treatment outcomes in ovarian cancer via diagnostic laparoscopy.

Ovarian cancer is associated with high rates of patient mortality and morbidity. Laparoscopic assess...