Surgery

Understanding and acceptance of open, laparoscopic, and robotic surgery among nursing students: implications for educational curricula based on a mixed-methods study.

This study aimed to assess university nursing students' knowledge and perceptions of open, laparosco...

An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation.

Artificial Intelligence (AI) offers a revolutionary approach to improve decision-making in medicine ...

An Open-Architecture AI Model for CPT Coding in Breast Surgery: Development, Validation, and Prospective Testing.

OBJECTIVE: To develop, validate, and prospectively test an open-architecture, transformer-based Arti...

MXene and PAN-Based Carbon Fiber Enhanced Bimodal Triboelectric Sensor for Robotic Arm Perception and Control.

Endowing robots with human-like perception and thinking to match the growing intelligentization rema...

[Oncological operation reports: minimum requirements, legal aspects and future developments].

The establishment of comprehensive oncological centers for the interdisciplinary care of cancer pati...

TCFNet: Bidirectional face-bone transformation via a Transformer-based coarse-to-fine point movement network.

Computer-aided surgical simulation is a critical component of orthognathic surgical planning, where ...

Three-dimensional multimodal imaging for predicting early recurrence of hepatocellular carcinoma after surgical resection.

BACKGROUND: High tumor recurrence after surgery remains a significant challenge in managing hepatoce...

Lumbar spinal stenosis: current concept of management.

Lumbar spinal stenosis (LSS) is a common degenerative spinal condition where spinal canal narrowing ...

Artificial intelligence in perioperative medicine education: A feasibility test of case-based learning.

UNLABELLED: The use of artificial intelligence in medicine is rapidly expanding. Large language mode...

Application of deep learning-based facial pain recognition model for postoperative pain assessment.

BACKGROUND: Postoperative pain is a common and complex issue that affects patients' recovery and the...

Current status and challenges of minimally invasive ultrasound thermal ablation technology.

Image-guided minimally invasive ultrasound thermal ablation has been widely studied for disease trea...

Reassessment of deep learning-based surgical phase recognition in laparoscopic cholecystectomy.

Real-time automatic detection of gynecological laparoscopic surgical instruments and exploration in surgical skills assessment application: a cross-sectional study.

BACKGROUND: Automatic detection of surgical instruments is essential for Artificial Intelligence Sur...

Development of Machine Learning Models to Predict Tumor Endoprosthesis Survival.

BACKGROUND AND OBJECTIVES: Endoprosthetic reconstruction is the preferred approach for limb salvage ...

Multi-omics integration of TPX2 in prognostic prediction in resectable hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is a malignant tumor with high incidence and mortality rates globally...

CT-based deep learning model for improved disease-free survival prediction in clinical stage I lung cancer: a real-world multicenter study.

OBJECTIVES: To develop a deep learning (DL) model for predicting disease-free survival (DFS) in clin...

Preclinical Investigation of Artificial Intelligence-Assisted Implant Surgery Planning for Single Tooth Defects: A Case Series Study.

INTRODUCTION: Dental implant surgery has become a prevalent treatment option for patients with singl...

Robot-Assisted Laparoscopic Hysterectomy with Artificial Intelligence-Analyzed Imaging: Robot-Assisted Laparoscopic Hysterectomy with AI Imaging.

Deep learning neural network prediction of postoperative complications in patients undergoing laparoscopic right hemicolectomy with or without CME and CVL for colon cancer: insights from SICE (Società Italiana di Chirurgia Endoscopica) CoDIG data.

BACKGROUND: Postoperative complications in colorectal surgery can significantly impact patient outco...

Extremity Soft Tissue Sarcoma Reconstruction Nomograms: A Clinicoradiomic, Machine Learning-Powered Predictor of Postoperative Outcomes.

PURPOSE: The choice of wound closure modality after limb-sparing extremity soft-tissue sarcoma (eSTS...

Surgery for Lumbar Disc Herniation: Surgeon's Clinical Judgment Versus Actual Improvement in Patient Reported Outcomes.

Study DesignLongitudinal Cohort.ObjectivesTo determine if a surgeon's clinical judgment can predict ...