Surgery

Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.

BACKGROUND & AIMS: In accordance with guidelines, most patients with T1 colorectal cancers (CRC) und...

Operative and long-term oncological outcomes in patients undergoing robotic versus laparoscopic surgery for rectal cancer.

BACKGROUND: This study aimed to compare short- and long-term outcomes after robotic versus laparosco...

Population demographics in geographic proximity to hospitals with robotic platforms do not correlate with disparities in access to robotic surgery.

BACKGROUND: Disparities in access to robotic surgery have been shown on the local, regional, and nat...

"Magnetic-Assisted Robotic and Laparoscopic Renal Surgery: Initial Clinical Experience with the Levita Magnetic Surgical System" by Fulla et al.

Sensor-based indicators of performance changes between sessions during robotic surgery training.

Training of surgeons is essential for safe and effective use of robotic surgery, yet current assessm...

Application of machine learning to the prediction of postoperative sepsis after appendectomy.

BACKGROUND: We applied various machine learning algorithms to a large national dataset to model the ...

Prediction of early recurrence of hepatocellular carcinoma after resection using digital pathology images assessed by machine learning.

Hepatocellular carcinoma (HCC) is a representative primary liver cancer caused by long-term and repe...

Robotic Resection of Postero-Superior Liver Segments (7,8) (with Video).

BACKGROUND: Surgical resection is the standard treatment for colorectal liver metastases. Parenchyma...

Endonasal endoscopic transsphenoidal approach robot prototype: A cadaveric trial.

BACKGROUND: The Endonasal Endoscopic Transsphenoidal Surgery (EETS) is a minimally invasive procedur...

Urological and sexual function after robotic and laparoscopic surgery for rectal cancer: A systematic review, meta-analysis and meta-regression.

BACKGROUND: This systematic review sought to compare the urogenital functions after laparoscopic (LA...

An East Coast Perspective on Artificial Intelligence and Machine Learning: Part 1: Hemorrhagic Stroke Imaging and Triage.

Hemorrhagic stroke is a medical emergency. Artificial intelligence techniques and algorithms may be ...

Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up.

Some patients with acromegaly do not reach the remission standard in the short term after surgery b...

Patient reported outcome measures concerning urinary incontinence after robot assisted radical prostatectomy: development and validation of an online prediction model using clinical parameters, lower urinary tract symptoms and surgical experience.

The prediction of post-prostatectomy incontinence (PPI) after robot-assisted radical prostatectomy (...

Transoral robotic parapharyngeal approach to the submandibular space.

The aim of the study was to demonstrate a novel transoral parapharyngeal approach to the submandibul...

Robotic Neck Dissection.

Management of head and neck squamous cell carcinoma necessitates a multimodal approach. The neck dis...

Radiographic Indices Are Not Predictive of Clinical Outcomes Among 1735 Patients Indicated for Hip Arthroscopic Surgery: A Machine Learning Analysis.

BACKGROUND: The relationship between the preoperative radiographic indices for femoroacetabular impi...

Robotic Rehabilitation in Spinal Cord Injury: A Pilot Study on End-Effectors and Neurophysiological Outcomes.

Robot-aided gait training (RAGT) has been implemented to provide patients with spinal cord injury (S...

Preliminary exploration of robotic complete mesocolic excision for colon cancer with the domestically produced Chinese minimally invasive Micro Hand S surgical robot system.

OBJECTIVE: To summarize our initial experience with robot-assisted complete mesocolic excision (R-CM...

Temporal Lobe Epilepsy Surgical Outcomes Can Be Inferred Based on Structural Connectome Hubs: A Machine Learning Study.

OBJECTIVE: Medial temporal lobe epilepsy (TLE) is the most common form of medication-resistant focal...

What factors affect the operative time of robot-assisted laparoscopic radical prostatectomy?

BACKGROUND: Robot-assisted radical prostatectomy (RARP) has gained prominence since the da Vinci sur...

Optimizing the robotic surgery team: an operations management perspective.

INTRODUCTION AND HYPOTHESIS: To assess the critical threshold to optimize operating room (OR) time f...