Surgery

A novel deep learning model for a computed tomography diagnosis of coronary plaque erosion.

Patients with acute coronary syndromes caused by plaque erosion might be managed conservatively with...

Multi-silicone bilateral soft physical twin as an alternative to traditional user interfaces for remote palpation: a comparative study.

Teleoperated medical technologies are a fundamental part of the healthcare system. From telemedicine...

Expanding Robotic-Assisted Surgery in Gynecology Using the Potential of an Advanced Robotic System.

Minimally invasive surgery (MIS) in gynecology was introduced to achieve the same surgical objective...

Surgical and functional outcomes of repeat robot-assisted laparoscopic partial nephrectomy compared with repeat open partial nephrectomy.

OBJECTIVES: To examine the surgical and functional outcomes of patients who have undergone repeat op...

Gynecologic Surgical Subspecialty Training Decreases Surgical Complications in Benign Minimally Invasive Hysterectomy.

STUDY OBJECTIVE: To evaluate the impact of gynecologic subspecialty training on surgical outcomes in...

Robot-assisted resection of benign splenic tumors in children.

PURPOSE: Robotic surgery is becoming increasingly widely used in the field of pediatric surgery. The...

Machine Learning Combined with Radiomics Facilitating the Personal Treatment of Malignant Liver Tumors.

In the realm of managing malignant liver tumors, the convergence of radiomics and machine learning h...

Robotic and transvaginal excision of rectal leiomyoma - a video vignette.

Robot-assisted laparoscopic myomectomy: Technique & brief literature review.

The worldwide growth of robot-assisted laparoscopic surgery has been exponential since its FDA appro...

Comparison of Short-Term Outcomes After Robotic Versus Laparoscopic Radical Gastrectomy for Advanced Gastric Cancer in Elderly Individuals: A Propensity Score-Matching Study.

BACKGROUND: Robotic gastrectomy (RG) has been widely used to treat gastric cancer. However, whether ...

Generalizable stereo depth estimation with masked image modelling.

Generalizable and accurate stereo depth estimation is vital for 3D reconstruction, especially in sur...

Sonographically-navigated frozen shoulder release (S-FSR): A modified technique for sonographically-navigated, in-office hydrodilatation of adhesive capsulitis.

We describe a new technique for hydrodilatation of the frozen shoulder, which we coined 'Sonographic...

Tailored Intraoperative MRI Strategies in High-Grade Glioma Surgery: A Machine Learning-Based Radiomics Model Highlights Selective Benefits.

BACKGROUND AND OBJECTIVES: In high-grade glioma (HGG) surgery, intraoperative MRI (iMRI) has traditi...

AI-powered real-time annotations during urologic surgery: The future of training and quality metrics.

INTRODUCTION AND OBJECTIVE: Real-time artificial intelligence (AI) annotation of the surgical field ...

Robotic Microsurgery in Extremity Reconstruction - Experience With a Novel Robotic System.

Robotic systems have successfully been introduced into other surgical fields in the past. First att...

Quality control in clinical raster-scan optoacoustic mesoscopy.

Optoacoustic (photoacoustic) mesoscopy bridges the gap between optoacoustic microscopy and macroscop...

Towards Semi-Autonomous Colon Screening Using an Electromagnetically Actuated Soft-Tethered Colonoscope Based on Visual Servo Control.

OBJECTIVE: Conventional colonoscopy using a flexible colonoscope remains two major limitations, incl...

Cuproptosis gene-related, neural network-based prognosis prediction and drug-target prediction for KIRC.

BACKGROUND: Kidney renal clear cell carcinoma (KIRC), as a common case in renal cell carcinoma (RCC)...

Mortality Prediction of Patients with Subarachnoid Hemorrhage Using a Deep Learning Model Based on an Initial Brain CT Scan.

BACKGROUND: Subarachnoid hemorrhage (SAH) entails high morbidity and mortality rates. Convolutional ...

Albumin-Bilirubin (ALBI) Score and Systemic Immune-Inflammation Indexes Used As Pretreatment Outcome Predictors in Patients With Pancreatic Ductal Adenocarcinoma Undergoing Robotic or Open Whipple Procedures: A Logistic Regression Analysis.

Background Pancreatic ductal adenocarcinoma (PDAC) is the most common type of pancreatic cancer (PC)...

CT-based deep learning model for predicting hospital discharge outcome in spontaneous intracerebral hemorrhage.

OBJECTIVES: To predict the functional outcome of patients with intracerebral hemorrhage (ICH) using ...