Surgery

Commercial AI platforms improve reproducibility but fail to meet clinical precision thresholds for intracranial aneurysm measurement: implications for serial surveillance.

BACKGROUND: Intracranial aneurysm affect 3-7% of the global population, with rupture causing > 80% o...

AI-driven 3D virtual surgical planning in total hip arthroplasty: a machine learning approach for precision implant positioning and improved clinical outcomes.

PURPOSE: To explore the clinical significance of the artificial intelligence (AI)-assisted three-dim...

Artificial intelligence in emergency surgery: a scoping review within the artificial intelligence in emergency and trauma surgery (ARIES) project.

AIM: To map and critically appraise the current literature on Artificial Intelligence (AI) applicati...

Development and validation of interpretable machine learning models for predicting long-term functional outcomes in elderly patients with aneurysmal subarachnoid hemorrhage.

BACKGROUND: Accurate prognostication in elderly patients with aneurysmal subarachnoid hemorrhage (aS...

Auditory and Vestibular Recovery in Otosclerosis Surgery: Clinical Efficacy and Predictive Modeling of Intraoperative Corticosteroid Use.

OBJECTIVE: To evaluate the effect of intraoperative local corticosteroid application on hearing, tin...

Predicting the surgical difficulty of laparoscopic cholecystectomy after percutaneous transhepatic gallbladder drainage in patients with acute cholecystitis: a multi-center study.

Design and rationale of the artifiCiAl intelligence Model for Evaluating the surgical techniques of caRdiAc surgeons (CAMERA): a cohort study.

INTRODUCTION: Coronary artery bypass grafting (CABG) is a technically demanding procedure where surg...

Intraoperative biopsy imaging of lung cancer risk.

BACKGROUND: Before surgical resection of lung tumor, intraoperative biopsy is needed for cancer diag...

Clinical-Radiomics hybrid prediction of the Risks of pedicle screw loosening after posterior lumbar fusion.

OBJECTIVE: We aimed to construct a risk prediction model for PSL after posterior lumbar fusion using...

Can AI generate safe anaesthesia plans? A comparative evaluation of three large language models on 100 synthetic cases.

BACKGROUND: Preoperative anaesthetic consultation is essential for perioperative care, involving ris...

Artificial intelligence, predictive modelling and robotics in minimally invasive surgery: Towards precision surgery.

Applying Artificial Intelligence to Facial Feminization Surgery: Understanding of Facial Anatomy, Surgical Techniques, and Patient Education.

BACKGROUND: Artificial intelligence (AI) and machine-learning technology are on the rise, including ...

Governance Framework for Safe and Ethical Implementation of Artificial Intelligence in Surgery: A Modified-Delphi Consensus.

BACKGROUND: Artificial intelligence (AI)-enabled clinical decision support systems (CDSS) demonstrat...

A randomized controlled trial of artificial intelligence-based analytics for clinical deterioration.

This pragmatic randomized controlled trial aimed to assess the effect of a passive display of artifi...

Enhancing fMRI Decoded Neurofeedback with Co-adaptive Training: Simulation and Proof-of-principle Evidence.

A significant challenge for neurofeedback training research and related clinical applications, is pa...

Utilising artificial intelligence to identify surgical anatomy during laparoscopic donor nephrectomy - a validation and feasibility study.

AI-enhanced robotic hands: a breakthrough in early tumour detection and removal.

AI-enhanced robotic hands are rapidly reshaping tumour surgery by merging real-time sensing, precisi...

Risk assessment in cardiac surgery: Exploring machine learning and laboratory indices as adjunctive tools.

BACKGROUND: Post-operative outcomes of cardiovascular surgery vary greatly among patients for a vari...

A Novel Risk Calculator for Nonhome Discharge after Lower Extremity Bypass.

BACKGROUND: Nonhome discharge (NHD) after lower extremity bypass is associated with discharge delays...

Comprehensive segmentation of focal cortical dysplasia by combining surface-based and whole-brain MRI deep learning algorithms: a proof-of-concept study.

Introduction.Focal cortical dysplasia type II (FCD II) is a significant cause of drug-resistant epil...

Ultrasound-guided microwave ablation for breast tumors: current status and future perspectives.

Ultrasound (US)-guided microwave ablation (MWA) has emerged as a promising minimally invasive therap...