Surgery

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 ...

Exploring Machine Learning Models for Vault Safety in ICL Implantation: A Comparative Analysis of Regression and Classification Models.

INTRODUCTION: Accurate prediction of postoperative vault height following implantable collamer lens ...

Evaluation of artificial-intelligence-based liver segmentation and its application for longitudinal liver volume measurement.

BACKGROUND: Accurate liver-volume measurements from CT scans are essential for treatment planning, p...

Robotic Central Pancreatectomy with Omental Pedicle Flap: Tactics and Tips.

BACKGROUND: Robotic central pancreatectomy is increasingly used for pre- or low-grade malignant tumo...

Thalamic neural activity and epileptic network analysis using stereoelectroencephalography: a prospective study protocol.

INTRODUCTION: Epilepsy is a prevalent chronic neurological disorder, with approximately one-third of...

A Machine Learning Model to Predict Treatment Effect Associated with Targeted Temperature Management After Cardiac Arrest.

BACKGROUND: Targeted temperature management (TTM) has been associated with neurological recovery amo...

Artificial Intelligence for Head and Neck Squamous Cell Carcinoma: From Diagnosis to Treatment.

Head and neck squamous cell carcinoma (HNSCC) remains a globally prevalent malignancy with high morb...