Surgery

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 ...

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...

Polarisation Sensitive Optical Coherence Tomography Image Characteristics for Gastrointestinal Tumours and Normal Tissues at Surgical Margins in Dogs.

The treatment of choice for canine alimentary tract neoplasms is surgical excision, but it can somet...

Innovations in laparoscopic management of endometrial cancer.

INTRODUCTION: Endometrial cancer is one of the most common gynecologic malignancies, with increasing...

Optimization of nitrogen removal through an intelligent automated operational strategy based on real-time process simulation in an A2O membrane bioreactor.

In this study, an intelligent automated operational strategy (IAOS) was developed and evaluated to e...

Natural-Language-Interfaced Robotic Synthesis for AI-Copilot-Assisted Exploration of Inorganic Materials.

The automation of chemical synthesis presents opportunities to enhance experimental reproducibility ...

Will the inclusion of AI anchors enhance the operational performance of live streaming e-commerce supply chains?

With the rapid growth of the live streaming e-commerce market, traditional live streaming models are...

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...

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 ...

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

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

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...

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...

Machine learning-based models for outcome prediction in skull base and spinal chordomas: a systematic review and meta-analysis.

BACKGROUND: Chordomas are primary bone lesions originating from embryonic notochord remnants, most c...

Explainable CT-based deep learning model for predicting hematoma expansion including intraventricular hemorrhage growth.

Hematoma expansion (HE), including intraventricular hemorrhage (IVH) growth, significantly affects o...

Proof of concept of an Automated Battlefield Trauma System for large-scale combat operations.

BACKGROUND: Large-scale combat operations (LSCO) generate high casualty volumes, challenging battlef...

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...

Author Correction: Machine learning for predicting device-associated infection and 30-day survival outcomes after invasive device procedure in intensive care unit patients.

Artificial Intelligence in Surgical Outcomes Reporting: The next best thing, or just Artificially Intelligent GIGO?

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...

Lumbar spinal stenosis: current concept of management.

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

Comparison of machine learning and human prediction to identify trauma patients in need of hemorrhage control resuscitation (ShockMatrix study): a prospective observational study.

BACKGROUND: Machine learning could improve the timely identification of trauma patients in need of h...