Surgery

Prediction of postoperative recurrence of oral cancer by artificial intelligence model: Multilayer perceptron.

BACKGROUND: Postoperative recurrence of oral cancer is an important factor affecting the prognosis of patients. Artificial intelligence is used to establish a machine learning model to predict the risk of postoperative recurrence of oral cancer.

A multifactorial evaluation of objective performance indicators and video analysis in the context of case complexity and clinical outcomes in robotic-assisted cholecystectomy.

BACKGROUND: The increased digitization in robotic surgical procedures today enables surgeons to quantify their movements through data captured directly from the robotic system. These calculations, called objective performance indicators (OPIs), offer unprecedented detail into surgical performance. In this study, we link case- and surgical step-specific OPIs to case complexity, surgical experience ...

An eXplainable Artificial Intelligence analysis of Raman spectra for thyroid cancer diagnosis.

Raman spectroscopy shows great potential as a diagnostic tool for thyroid cancer due to its ability to detect biochemical changes during cancer develo...

Robot-Assisted Excision of a Left Ventricular Myxoma and Hemangioma.

Left ventricular masses are rare entities that often require surgical excision when diagnosed due to the risk of embolization. We report 2 separate pa...

Long-term Outcomes of Robot-assisted Versus Laparoscopic Surgery for Colon Cancer: A Nationwide Register-based Cohort Study.

OBJECTIVE: To determine long-term survival in patients undergoing robot-assisted surgery (RAS) or laparoscopic surgery (LAS) for colon cancer.

Robotic Simulation in Urologic Surgery.

Robotic surgery continues to revolutionize the field of urologic surgery, and thus it is crucial that graduating urologic surgery residents demonstrat...

A deep learning model to triage and predict adenocarcinoma on pancreas cytology whole slide imaging.

Pancreatic fine-needle aspirations are the gold-standard diagnostic procedure for the evaluation of pancreatic ductal adenocarcinoma. A suspicion for ...

Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation.

A common problem with segmentation of medical images using neural networks is the difficulty to obtain a significant number of pixel-level annotated d...

Anatomy segmentation in laparoscopic surgery: comparison of machine learning and human expertise - an experimental study.

BACKGROUND: Lack of anatomy recognition represents a clinically relevant risk in abdominal surgery. Machine learning (ML) methods can help identify vi...

Multilevel effective surgical workflow recognition in robotic left lateral sectionectomy with deep learning: experimental research.

BACKGROUND: Automated surgical workflow recognition is the foundation for computational models of medical knowledge to interpret surgical procedures. ...

Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation.

Surgical phase recognition (SPR) is a crucial element in the digital transformation of the modern operating theater. While SPR based on video sources ...

Investigating Transformer Encoding Techniques to Improve Data-Driven Volume-to-Surface Liver Registration for Image-Guided Navigation.

Due to limited direct organ visualization, minimally invasive interventions rely extensively on medical imaging and image guidance to ensure accurate ...

Machine Learning Models for Brain Arteriovenous Malformations Presenting with Hemorrhage Based on Clinical and Angioarchitectural Characteristics.

RATIONALE AND OBJECTIVES: This study aims to develop the best diagnostic model for brain arteriovenous malformations (bAVMs) rupture by using machine ...

Hyper accuracy three-dimensional virtual anatomical rainbow model facilitates surgical planning and safe selective clamping during robot-assisted partial nephrectomy.

OBJECTIVE: To highlight the role of hyper accuracy three-dimensional (3D) reconstruction in facilitating surgical planning and guiding selective clamp...

Comparative analysis of robot-assisted simple prostatectomy: the HUGO™ RAS system versus the DaVinci® Xi system.

BACKGROUND: Robot-Assisted Simple Prostatectomy (RASP) has emerged as a promising alternative in the treatment of benign prostatic obstruction (BPO). ...

Robotic Lung Transplantation: A Paradigm Shift in Surgical Strategy.

Impact of heart failure on reoperation in adult congenital heart disease: An innovative machine learning model.

OBJECTIVES: The study objectives were to evaluate the association between preoperative heart failure and reoperative cardiac surgical outcomes in adul...

Dynamic surface reconstruction in robot-assisted minimally invasive surgery based on neural radiance fields.

PURPOSE: The purpose of this study was to improve surgical scene perception by addressing the challenge of reconstructing highly dynamic surgical scen...

Robotic-assisted total hip arthroplasty utilizing a fluoroscopy-guided system resulted in improved intra-operative efficiency relative to a computerized tomography-based platform.

Robotic-assisted total hip arthroplasty (THA) using a computerized-tomography (CT) based workflow increases surgical time relative to traditional manu...

Robotic and laparoscopic gynaecological surgery: a prospective multicentre observational cohort study and economic evaluation in England.

OBJECTIVE: To compare the health-related quality of life and cost-effectiveness of robot-assisted laparoscopic surgery (RALS) versus conventional 'str...