Surgery

Machine learning for prediction of large-for-gestational-age neonate with adverse outcome at routine ultrasound examination at 35-37 weeks.

OBJECTIVES: To evaluate the performance of a machine-learning (ML) model compared with traditional logistic regression models for predicting a large-for-gestational-age (LGA) neonate at term and associated adverse perinatal outcomes, using sonographic biometric and Doppler parameters routinely assessed at a late third-trimester scan in combination with maternal demographic characteristics. METHODS...

Prognostic Value of Artificial Intelligence ECG-Derived Diastolic Function in Surgical Aortic Valve Replacement.

BACKGROUND: Diastolic dysfunction is common in patients with aortic stenosis and may influence outcomes following surgical aortic valve replacement. We aimed to examine the association of preoperative artificial intelligence (AI)-generated diastolic function grades with early and late outcomes following aortic valve replacement and how postoperative progression influence prognosis. METHODS: We ide...

Prognostic Models and Predictors of Recurrence in Resectable Colorectal Liver Metastases: A Systematic Review and Meta-analysis.

We systematically reviewed prognostic models for recurrence after curative-intent locoregional treatment of colorectal liver metastases (CRLM) and qua...

Operational AI Adoption in U.S. Inpatient Rehabilitation Facilities: Organizational Selection and Domain Heterogeneity, 2021-2024.

OBJECTIVE: To examine Inpatient Rehabilitation Facilities, market, and regional characteristics associated with operational AI adoption across three f...

Gut microbiota and blood biomarkers as correlating factors in patients with postoperative delirium: analysis of three prospective observational studies.

Postoperative delirium is associated with both gut microbiota alterations and Tau phosphorylation; however, how these factors interact and jointly con...

Evaluation of Large Language Model-Generated Recommendations in Glaucoma Surgical Decision-Making.

OBJECTIVE: To evaluate the utility, rationality, and safety of glaucoma surgery recommendations generated by three prominent large language models (LL...

Intrarenal pressure monitoring in retrograde intrarenal surgery for high-infectious risk populations.

PURPOSE: To evaluate the feasibility of real-time intrarenal pressure (IRP) monitoring using the LithoVue™ Elite (LVE) ureteroscope and assess postope...

Technology and Obesity: A Year in Review.

SMART technological advancements help diagnose, treat, and monitor various diseases at the earliest stages. It presents an opportunity to maintain the...

Real-Time Dynamic Prediction of Mortality and Renal Replacement Therapy After Cardiac Surgery Using a Time-Series Deep Learning Model.

OBJECTIVE: Predicting postoperative deterioration following cardiac surgery remains challenging. Conventional risk scores rely on static variables and...

Artificial intelligence-based prediction of stone-free status in patients undergoing mini-percutaneous nephrolithotomy without retrograde insertion of a ureteral catheter.

PURPOSE: This study aimed to develop and validate an artificial intelligence (AI) predictive model for postoperative stone-free status (SFS) specifica...

The LoVe score: Development and validation of a bedside clinical index to identify patients at risk for prolonged invasive mechanical ventilation.

BACKGROUND: Early management decisions after intubation, such as humidification strategy or initiation of prevention bundles for ventilator-associated...

Global research landscape, knowledge structure, and emerging frontiers of urological robotic telesurgery: a bibliometric and knowledge-mapping analysis.

Robotic telesurgery is emerging as an important extension of robot-assisted surgery by enabling surgeons to perform procedures across geographical dis...

Robot-assisted biopsy a bibliometric analysis of global trends, hotspots, and emerging frontiers (2000-2025).

Robot-assisted biopsy techniques achieve precise minimally invasive sampling of deep-seated and anatomically complex lesions through stable robotic ma...

Quality, transparency, and readability of AI chatbot responses for patient counseling in robot-assisted colorectal cancer resection: a cross-sectional evaluation.

Robot-assisted colorectal cancer resection (RACR) has emerged as a preferred surgical approach for mid-to-low rectal tumors, yet patients often strugg...

Plasma Desmoplakin as a Novel Biomarker for Early-Onset Susceptibility and Prognostic Stratification in Young Intracerebral Hemorrhage.

OBJECTIVE: This study aimed to identify plasma protein biomarkers associated with the presence and prognosis of intracerebral hemorrhage (ICH) in youn...

AI-assisted forecasting in microsurgery: A dual-component framework for global publication trends.

BACKGROUND: Artificial intelligence (AI)-assisted approaches may allow surgical research trends to be analyzed at scale and projected over time. Howev...

Large Language Models for Accurate Medical Chart Abstraction: Enabling Scalable and Secure Artificial Intelligence Deployment in Stroke.

BACKGROUND AND PURPOSE: Medical chart abstraction plays a critical role in clinical research and quality monitoring by transforming unstructured narra...

Artificial Intelligence-Derived Carotid Elongation Ratio May Predict Procedural Delay but Offers Limited Prognostic Utility in Mechanical Thrombectomy.

BACKGROUND AND PURPOSE: Carotid artery tortuosity, quantified by the carotid elongation ratio (CER), may hinder mechanical thrombectomy (MT). We evalu...

Deep neural network-based prediction of walking independence after hip fracture surgery and analysis of contributing factors.

BACKGROUND: Early prediction of walking independence after hip fracture surgery can support perioperative decision-making and rehabilitation planning....

Multimodal artificial intelligence-based long-term mortality prediction after transcatheter aortic valve implantation: a multicentre development, validation, and testing study.

BACKGROUND: Appropriate risk prediction is essential to inform long-term management in patients with symptomatic severe aortic stenosis after transcat...