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 through the use of advanced computational tools. Its ability to analyze large and complex datasets enables a thorough evaluation of multiple factors, leading to a deeper understanding of medical procedures. Numerous studies have demonstrated that AI has made significant advancements in areas such as...

Fast and accurate lung cancer subtype classication and localization based on Intraoperative frozen sections of lung adenocarcinoma.

Current lung cancer diagnostic techniques primarily focus on tissue subtype classification, yet remain inadequate in distinguishing pathological progression subtypes (particularly between adenocarcinomaand invasive adenocarcinoma) on frozen sections. This study develops a deep neural network-based auxiliary diagnostic system specifically for surgical frozen sections, aiming to reduce pathologists'...

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 Artificial Intelligence (AI) model to extract procedur...

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 remains a challenge. Here, an MXene and polyacrylonitr...

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

The establishment of comprehensive oncological centers for the interdisciplinary care of cancer patients is based on defined criteria that must underg...

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 accurately simulating face-bone shape transformati...

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 hepatocellular carcinoma (HCC). We aimed to construct a mu...

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 commonly developing along the skull base and spine....

Lumbar spinal stenosis: current concept of management.

Lumbar spinal stenosis (LSS) is a common degenerative spinal condition where spinal canal narrowing causes symptoms such as neurogenic claudication, r...

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 models, such as ChatGPT, have the potential to enhance...

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

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 quality of healthcare. Traditional pain assessmen...

Improving the Robustness of Deep Learning Models in Predicting Hematoma Expansion from Admission Head CT.

BACKGROUND AND PURPOSE: Robustness against input data perturbations is essential for deploying deep learning models in clinical practice. Adversarial ...

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

Image-guided minimally invasive ultrasound thermal ablation has been widely studied for disease treatment due to its unique advantages, such as large ...

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 Surgery. This study aimed to construct a large-scale ...

Development of Machine Learning Models to Predict Tumor Endoprosthesis Survival.

BACKGROUND AND OBJECTIVES: Endoprosthetic reconstruction is the preferred approach for limb salvage surgery for many patients following malignant bone...

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, significantly affecting patient prognosis and qu...

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 clinical stage I lung cancer patients who underwent su...

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 single tooth defects. However, the success of this surg...