Surgery

A Combined Clinical/MRI Deep Learning Model for Estimating Outcomes After Percutaneous Transforaminal Endoscopic Discectomy.

BACKGROUND: Percutaneous transforaminal endoscopic discectomy (PTED) is a common treatment for lumbar disc herniation (LDH), but postoperative recovery varies greatly. PURPOSE: To develop and validate a deep learning (DL) model integrating MRI and clinical features to estimate 1-year outcomes after PTED. STUDY TYPE: Retrospective. POPULATION: 252 LDH patients who underwent single-level PTED, with ...

Machine learning-derived serum carbon dioxide trajectories in predicting prognosis of patients with acute aortic dissection.

JOURNAL/mgres/04.03/01612956-990000000-00114/figure1/v/2026-08-19T154102Z/r/image-tiff Venous partial pressure of carbon dioxide (PvCO2) indicates postoperative adverse outcomes in patients with acute aortic dissection, and its trajectories over time affecting postoperative adverse outcomes remain unclear. This study aimed to investigate the relationship between PvCO2 trajectories and postoperativ...

Identification of acute kidney injury after non-cardiac surgery by machine learning leveraging a large electronic health record database.

Post-operative acute kidney injury (PO-AKI) is a frequent complication after non-cardiac surgery, substantially increasing patients' mortality and mor...

Artificial intelligence in robotic urologic surgery: a scoping review.

BACKGROUND AND AIM: Artificial intelligence (AI) is increasingly being integrated into robotic urologic surgery. However, existing literature remains ...

Percutaneous thermal ablation for renal cell carcinoma: a comprehensive review of current evidence and future directions.

Thermal ablation (TA), including microwave ablation, radiofrequency ablation, and cryoablation, is increasingly used as a surgical alternative for T1a...

Comparative outcomes of balloon-expandable versus self-expanding transcatheter aortic valves: insights from a large-scale German registry.

BACKGROUND: While transcatheter aortic valve replacement (TAVR) has become an established alternative to surgical aortic valve replacement (SAVR), the...

Real-Time Symptom and Wearable Monitoring May Improve Prediction of Postoperative Recovery in Lumbar Spine Surgery Beyond Standard Measures.

BACKGROUND AND OBJECTIVES: Accurately identifying candidates likely to benefit from surgery and addressing modifiable preoperative risk factors are ce...

A Multidisciplinary Team-Based Large Language Model Framework for Predicting Postoperative Neurological Complications in Acute Type A Aortic Dissection: Model Development and Validation Study.

BACKGROUND: Postoperative neurological complications (PNCs) after acute type A aortic dissection (ATAAD) surgery are clinically emergent and require m...

Interpretable Machine Learning for 30-Day Mortality in PIVSR: A Cohort Study.

OBJECTIVE: Post-infarction ventricular septal rupture (PIVSR) is a fatal mechanical complication of acute myocardial infarction. We aimed to develop a...

Deep Learning-Based Recognition of Hand Anatomical Structures and Traumatic Lesions in Surgical Images: A Proof-of-Concept Study.

BACKGROUND: Computer vision in surgery remains limited by the complexity of anatomical environments and the scarcity of annotated datasets, particular...

Evaluation of gastric cancer using artificial intelligence iterative reconstruction on abdominal CT: image quality and diagnostic accuracy.

PURPOSE: To investigate the clinical performance of a novel deep-learning based image reconstruction algorithm, namely artificial intelligence iterati...

Global research trends and hotspots in robot-assisted spinal surgery for spinal deformity: a bibliometric analysis.

This bibliometric study maps the global landscape and evolutionary trajectories of robot-assisted spinal surgery in spinal deformity by analyzing 121 ...

A Randomized Controlled Trial Evaluating Digital Health Intervention on Phosphate Control in Patients on Dialysis.

BACKGROUND: Hyperphosphataemia is a common metabolic complication of CKD and is associated with poor health outcomes. Dietary intervention is a key st...

Patient-Specific Non-Invasive Epileptogenic Zone Localization via High-Resolution Time-Frequency Representations and CNN Deep Learning.

Stereoelectroencephalography (SEEG)-guided radiofrequency thermocoagulation is the mainstream treatment for drug-resistant epilepsy (DRE), yet non-inv...

Development and validation of a Bayesian network-based surgical risk-prediction tool for patients with small-bowel stricturing Crohn's disease.

BACKGROUND: Patients with small-bowel stricturing Crohn's disease (sbsCD) usually have a higher risk of intestinal surgical resection. We aimed to dev...

Clinical decision framework for sublingual hematoma: literature-based retrospective analysis with machine learning.

Sublingual hematoma is a rare but life-threatening condition with heterogeneous etiologies that complicate emergency decision-making. This study compa...

Validation of artificial intelligence-assisted CBCT analysis for predicting inferior alveolar nerve proximity to impacted mandibular third molars: a diagnostic accuracy study.

OBJECTIVES: This study aimed to evaluate the diagnostic accuracy of an artificial intelligence (AI)-assisted cone-beam computed tomography (CBCT) anal...

CT-based prediction of hematoma expansion and adverse outcomes after intracerebral hemorrhage: evidence appraisal, artificial intelligence translation, and GeroScience perspectives.

Spontaneous intracerebral hemorrhage (ICH) is a highly lethal and disabling form of stroke, in which hematoma expansion (HE) is a major and potentiall...

Knowledge and perception of artificial intelligence among operating room staff in educational hospitals: a cross-sectional survey.

BACKGROUND: Successful implementation of artificial intelligence (AI) in healthcare depends not only on technological performance but also on the read...

Artificial Intelligence in Occlusion-Oriented Digital Reconstruction of Maxillofacial Fractures: Current Applications and Translational Challenges.

Maxillofacial fractures require reconstruction of a functional craniofacial unit rather than isolated realignment of fractured bone. Stable occlusion,...