Surgery

Intratumoral and peritumoral radiomics-based machine learning models for the postoperative survival prediction in esophageal squamous cell carcinoma.

OBJECTIVES: This study aimed to develop and validate machine learning (ML) models to predict surviva...

Multimodal deep learning for objective skill assessment in robot-assisted vesico-urethral anastomosis.

Contralateral language network integration predicts and protects against naming decline after temporal lobe resection.

OBJECTIVE: Anterior temporal lobe resection (ATLR) is an effective treatment for drug-resistant temp...

Cross-Platform Proteomics and Machine Learning Algorithms Nominate Plasma Biomarkers of Stroke Diagnosis.

BACKGROUND: Blood-based biomarkers for stroke subtyping could improve triage in emergency settings. ...

Generative Artificial Intelligence for Postoperative Parameters Prediction in Implantable Collamer Lens Surgery.

PURPOSE: To predict multiple postoperative parameters following implantable collamer lens (ICL) surg...

Clinical Impact of Postrecanalization Hemorrhagic Transformation and Its Prediction Using Baseline Noncontrast CT.

BACKGROUND: Hemorrhagic transformation (HT) after recanalization therapy remains a critical concern ...

From innovation to implementation: Addressing the AI adoption gap in cardiac surgery.

BACKGROUND: While artificial intelligence (AI) is advancing rapidly across cardiovascular medicine, ...

OSCAR: A Modular Open-Source Robotic Platform for Biological Laboratories.

Biological research often involves complex, repetitive, and high-throughput manipulations that are w...

Real-Time Peripheral Revascularization Planning in Chronic Limb Threatening Ischemia Using HarVI: A Digital Twin Approach.

BACKGROUND: Peripheral artery disease (PAD) is a leading cause of limb loss and morbidity worldwide,...

Multiphase CT-based deep learning radiomics nomogram models for preoperative WHO/ISUP grading of clear cell renal cell carcinoma: a two-center validation study.

BACKGROUND: Preoperative determination of clear cell renal cell carcinoma (ccRCC) World Health Organ...

Effect of a Computer-Aided Device for Detecting Gastric Neoplasms: A Multicenter, Randomized Controlled Trial.

BACKGROUND & AIMS: Evidence about the effect of artificial intelligence (AI) on upper endoscopy in m...

Diagnostic Accuracy of Machine Learning Models in Predicting Functional Outcome of Thrombectomy for Acute Posterior Circulation Artery Occlusion: a Systematic Review and Meta-Analysis.

BACKGROUND: Mechanical thrombectomy (MT) is the standard treatment for acute posterior circulation a...

Applications of artificial intelligence algorithms in ultrasound-based kidney stone detection, classification, prediction, and management: a systematic review.

BACKGROUND: Kidney stones are a prevalent urological condition with significant global burden, often...

Artificial intelligence and robotics in global neurosurgery: A scoping review.

OBJECTIVE: Artificial intelligence (AI) and robotics are transforming neurosurgical care; however, t...

Deviation From AI-Predicted Implant Sizes in Total Hip Arthroplasty Is Associated With Increased Complication Risk.

BACKGROUND: Patient characteristics may predict implant sizes in total hip arthroplasty (THA), but t...

Artificial Intelligence in Vitreoretinal Surgery: A Systematic Review of Current Applications and Future Directions.

INTRODUCTION: To examine the current landscape of artificial intelligence (AI) applications in vitre...

Machine learning and Regression-Based models for prediction of postoperative atrial fibrillation following coronary artery bypass grafting: A systematic review and meta-analysis.

BACKGROUND: Postoperative atrial fibrillation (POAF) is a common complication following coronary art...

Machine learning prediction model for delirium after heart valve replacement with cardiopulmonary bypass: A large-scale cohort study.

OBJECTIVE: Postoperative delirium (POD) is a common and severe complication following heart valve re...

Artificial intelligence for accurate tumor size assessment and non-invasive adenocarcinoma prediction in small-sized lung cancer.

INTRODUCTION: Accurate preoperative imaging is essential for improving the treatment of small lung c...

Evaluating Generative Artificial Intelligence Models' Responses to Questions About Scaphoid Fracture and Scaphoid Nonunion.

PURPOSE: To evaluate and compare the responses of ChatGPT and Google Gemini to common patient questi...

Applications of Generative Artificial Intelligence for Strabismus Surgery Video-Based Education.

OBJECTIVE: To develop educational artificial intelligence (AI)-generated videos for patients undergo...