Surgery

Evaluation of objective tools and artificial intelligence in robotic surgery technical skills assessment: a systematic review.

BACKGROUND: There is a need to standardize training in robotic surgery, including objective assessme...

Research on workflow recognition for liver rupture repair surgery.

Liver rupture repair surgery serves as one tool to treat liver rupture, especially beneficial for ca...

Predicting adverse outcomes after cardiac surgery using multi-task deep neural networks, clinical features, and electrocardiograms

Risk stratification models estimate the probabilities of adverse outcomes after cardiac surgical pro...

Role of Artificial Intelligence and Machine Learning in Facial Aesthetic Surgery: A Systematic Review.

To analyze the quality of artificial intelligence (AI) and machine learning (ML) tools developed fo...

Design of experiments and artificial neural networks as useful tools in the optimization of analytical procedure.

Developing the analytical procedure requires estimating what independent variables will be tested an...

Is the learning curve of the urology resident for conventional radical prostatectomy similar to that of staff initiating robot-assisted radical prostatectomy?

INTRODUCTION: The superiority of the functional results of robot-assisted radical prostatectomyis st...

Artificial Intelligence and ChatGPT in Abdominopelvic Surgery: A Systematic Review of Applications and Impact.

BACKGROUND/AIM: The integration of AI and natural language processing technologies, such as ChatGPT,...

Prosthetically driven robot-assisted implant surgery: turning a major failure into a simple case.

This case report presents a challenging case of catastrophic failure of a fixed partial denture invo...

Evaluation of the efficacy and safety of robot-assisted and video assisted thoracic surgery for early non-small cell lung cancer: A meta-analysis.

BACKGROUND: Radical resection of lung cancer and chemotherapy are the main methods for the treatment...

Prediction of Complications and Prognostication in Perioperative Medicine: A Systematic Review and PROBAST Assessment of Machine Learning Tools.

BACKGROUND: The utilization of artificial intelligence and machine learning as diagnostic and predic...

Imaging Evaluation of Peritoneal Metastasis: Current and Promising Techniques.

Early diagnosis, accurate assessment, and localization of peritoneal metastasis (PM) are essential f...

Standardization of robot-assisted pelvic lymph node dissection-Development of a common understanding of regional anatomy and surgical technique based on cross-disciplinary discussion among colorectal surgery, urology, and gynecology.

BACKGROUND: Pelvic lymph node dissection is a procedure performed in gastroenterological surgery, ur...

Common on "comparison of cesarean delivery outcome after robotic and laparoscopic myomectomy".

Examination-Level Supervision for Deep Learning-based Intracranial Hemorrhage Detection on Head CT Scans.

Purpose To compare the effectiveness of weak supervision (ie, with examination-level labels only) an...

Robot with the scissorhands: scissor hepatectomy for parenchymal transection in robotic liver resection.

Artificial intelligence- and computer-assisted navigation for shoulder surgery.

Over the last few decades, shoulder surgery has undergone rapid advancements, with ongoing explorat...

Overview of artificial intelligence in point-of-care ultrasound. New horizons for respiratory system diagnoses.

Throughout the past decades ultrasonography did not prove to be a procedure of choice if regarded as...

Radiomics and Clinical Characters Based Gaussian Naive Bayes (GNB) Model for Preoperative Differentiation of Pulmonary Pure Invasive Mucinous Adenocarcinoma From Mixed Mucinous Adenocarcinoma.

To develop and validate predictive models based on clinical parameters, and radiomic features to di...

Robotic Pills as Innovative Personalized Medicine Tools: A Mini Review.

The most common route for drug administration is the oral route due to the various advantages offere...

An XGBoost Machine Learning Based Model for Predicting Ki-67 Value ≥ 15% in TNM Stage Primary Breast Cancer Receiving Neoadjuvant Chemotherapy Using Clinical Data and Delta-Radiomic Features on Ultrasound Images and Overall Survival Analysis: A 5-Year Postoperative Follow-Up Study.

To establish a model based on clinical and delta-radiomic features within ultrasound images using X...

Advanced Machine Learning Models for Predicting Post-Thrombolysis Hemorrhagic Transformation in Acute Ischemic Stroke Patients: A Systematic Review and Meta-Analysis.

Thrombolytic therapy is essential for acute ischemic stroke (AIS) management but poses a risk of he...