Surgery

Application of supervised machine learning algorithms to predict in-hospital death risk in patients receiving intra-aortic balloon pump therapy during the perioperative period of cardiac surgery.

Prospective biopsy-controlled validation of an AI model for predicting glioblastoma infiltration: Results from the SupraGlio trial.

BACKGROUND: Glioblastoma recurrence is driven by diffuse microscopic infiltration beyond the contras...

Development and Validation of a Machine Learning Model for Predicting Postoperative Delirium in Elderly Patients with Hip Fracture: A Retrospective Cohort Study.

Postoperative delirium (POD) is a common and serious complication in elderly hip fracture patients, ...

Path planning for volumetric flask grasping based on visual guidance and multi-constraint optimization.

In the automated operation of the chemical laboratory, using a robotic arm to pick up volumetric fla...

Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy.

OBJECTIVE: To develop and validate a deep learning model for interpretation of fluorescence confocal...

Accuracy assessment of an artificial intelligence model in predicting intraoperative bone resection parameters for robotic-assisted total knee arthroplasty.

Artificial Intelligence in Surgical Education: A Pilot Study Using ASCRS Guideline-Derived Questions.

BackgroundLarge language models (LLMs) have demonstrated strong performance on general medical and s...

Cross-sectional validation of a preoperative multidimensional assessment tool for third molar extraction using machine learning.

BACKGROUND: This study aimed to assess the correlation between a preoperative difficulty assessment ...

Natural Language Processing for Surgical Quality Enhancement.

INTRODUCTION: Unstructured clinical data, including operative reports and progress notes, contain cr...

Development and Validation of Machine Learning Models to Identify Emergency Department Patients at Increased Risk of New or Progressive Acute Kidney Injury.

OBJECTIVES: Acute kidney injury (AKI) is a common and serious condition associated with prolonged ho...

An AI framework for automated quality control of paraffin block and slide consistency: a clinical evaluation and human-machine comparison study.

Consistency between paraffin blocks and corresponding histological slides is a key component of path...

[Practice and reflection on sentinel lymph node navigation surgery for early gastric cancer].

With the continuous update and iteration of minimally invasive techniques, artificial intelligence a...

[Current status and future perspectives of precision treatment for locally advanced rectal cancer].

The treatment paradigm for locally advanced rectal cancer is undergoing a fundamental transformation...

[Exploration and clinical application of the "digital and intelligent surgery" diagnosis and treatment workflow for oral and maxillofacial tumors].

Tumors in the oral and maxillofacial region present significant clinical challenges due to anatomica...

[Robotic gastrectomy: Research progress and practical challenges].

Gastric cancer is one of the malignant tumors with high incidence and mortality rates globally, with...

Decoding perioperative anesthesia-associated signature in Kawasaki disease patients with deep vein thrombosis; evidence from machine-learning driven multi-omics.

UNLABELLED: Inappropriate perioperative anesthesia (PA) drug management may lead to the detrimental ...

Accelerating real-world data collection using large language models in rare neoplasms: a bone sarcoma example.

BACKGROUND: Real-world data collection in oncology remains a challenge due to the complex and unstru...

Chest Tube Learning Synthesis and Evaluation Assistant (CheLSEA): A Prospective Observational Trial of an Intelligent Decision Support System.

OBJECTIVE: This study evaluates the performance of an artificial intelligence predictive clinical de...

Evaluation of AI-Generated Surgical Decision Aids for Pelvic Floor Disorders.

IMPORTANCE: Decision aid tools are well-utilized resources in shared decision making for the treatme...

Artificial Intelligence in Trauma Care: A Systematic Review of Resuscitation, Diagnosis, Risk Prediction, and Management.

BACKGROUND: Artificial intelligence (AI) is increasingly being explored in trauma care as a tool to ...

Machine Learning Using Preoperative Patient Factors Can Predict the Severity of Pain Following Primary Total Hip Arthroplasty.

BACKGROUND: Persistent postoperative pain is a challenge in total hip arthroplasty (THA), yet a lack...