Latest AI and machine learning research in surgery for healthcare professionals.
BackgroundComputed tomography (CT) plays a crucial role in assessing chronic rhinosinusitis, but lac...
BackgroundIntensive care unit (ICU) acquired weakness is a detrimental condition characterized by mu...
BACKGROUND AND OBJECTIVES: Operating rooms (ORs) are critical for hospital revenue and cost manageme...
BACKGROUND: Laparoscopic cholecystectomy is the preferred treatment for symptomatic cholelithiasis a...
OBJECTIVE: The goal of this study was to develop a nomogram that integrates clinical data to predict...
BACKGROUND: Hemorrhagic transformation (HT) is a complication of reperfusion therapy following acute...
BACKGROUND: Patients undergoing liver transplantation (LT) are at risk of perioperative neurocogniti...
We aimed to analyze the cervical sagittal alignment change following the growing rod treatment in ea...
Ultrasound imaging is widely valued for its safety, non-invasiveness, and real-time capabilities but...
OBJECTIVE: To develop and validate an explainable machine learning (ML) model predicting the risk of...
Adverse effects of advanced age and poor initial neurological status on outcomes of patients with an...
Optimizing operating room (OR) utilization is critical for enhancing hospital management and operati...
PURPOSE: This study assessed the performance of various deep learning models in predicting the posto...
OBJECTIVES: This study aimed to develop an automated skills assessment tool for surgical trainees us...
Four-legged robots are becoming increasingly pivotal in navigating challenging environments, such as...
PURPOSE: This paper presents a deep learning approach to recognize and predict surgical activity in ...
Current teleoperated robotic systems for retinal surgery cannot effectively control subtle tool-to-t...
The detection and excision of colorectal polyps, precursors to colorectal cancer (CRC), can improve ...
BACKGROUND: Spontaneous intracerebral hemorrhage (SICH) is the second most common cause of cerebrova...
PURPOSE: To analyze the incidence and risk factors of postoperative fever (POF) in gastrointestinal ...
This study aimed to develop and validate machine learning (ML) models to predict the occurrence of d...