Surgery

Latest AI and machine learning research in surgery for healthcare professionals.

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Showing 715-735 of 10,844 articles
Forecasting knee arthroplasty surgery with deep learning : an integrated approach using routine clinical data and radiographs.

AIMS: We aimed to develop and validate a practical deep learning model integrating commonly collecte...

(1)
Jul 2026 42442756
A Radiomics-Driven Model to Distinguish Between Clinically Similar Myxopapillary Ependymomas and Lumbosacral Schwannomas.

BACKGROUND AND OBJECTIVES: Myxopapillary ependymomas (MPE) and intradural lumbosacral schwannomas ma...

Jul 2026 42434191
Artificial Intelligence for Predicting Perioperative Outcomes in Cardiac Surgery: A Systematic Review.

OBJECTIVE: Cardiac surgery carries a significant risk of complications and mortality. Artificial int...

(3)
Jul 2026 42444169
Artificial Intelligence in Medical Writing: A Practical and Ethical Framework for Surgical Research and Publication.

BACKGROUND: Artificial intelligence (AI) is rapidly transforming surgical research and medical publi...

(1)
Jul 2026 42444255
Vocal Outcomes After Cell-Based Outer Vocal Fold Implant in Porcine Bilateral Vocal Fold Resection.

OBJECTIVE: Cell-based outer vocal fold replacement (COVR) consists of human adipose-derived stem cel...

Jul 2026 42439582
From Prediction to Action: Why Bleeding Risk in Cardiac Surgery Still Eludes Us in the Era of Artificial Intelligence.

Perioperative bleeding in cardiac surgery remains common, consequential, and difficult to predict de...

Jul 2026 42440381
Multimodal Machine Learning Model Predicting Postoperative Delirium Based on Heart Rate Variability: A Prospective Observational Study.

BACKGROUND: Postoperative delirium is a common and serious complication after general anesthesia; it...

(5)
Jul 2026 42442345
Data-driven subtypes of postoperative delirium in surgical ICU patients: a secondary analysis of a prospective cohort study.

BACKGROUND: Postoperative delirium (POD) is a heterogeneous syndrome associated with adverse outcome...

(2)
Jul 2026 42442477
Artificial intelligence for comprehensive skeletal maturity assessment: a unified CBCT-based deep learning framework.

Skeletal maturity assessment is crucial, and the cervical vertebral maturity (CVM), spheno-occipital...

Jul 2026 42443242
Comparative effectiveness of arthroscopic-assisted uniportal surgery versus percutaneous endoscopic decompression in lumbar spinal stenosis.

Single-level lumbar spinal stenosis (LSS) that does not respond to conservative therapy is now of th...

(2)
Jul 2026 42443350
Portable RF brain scanner enables stroke type detection using deep learning.

Stroke remains a leading cause of mortality worldwide, demanding rapid, accurate diagnosis; distingu...

(3)
Jul 2026 42443367
Performance of large language models in a high-stakes dental assessment: evidence from the Turkish dentistry specialization examination.

Large language models (LLMs) are increasingly used in dental education; however, their performance o...

Jul 2026 42443406
A Multimodal, Multitask Prediction Framework for Diagnosis and Prognosis of Clear Cell Renal Cell Carcinoma.

The purpose of this study is to develop and validate a multimodal, multitask prediction framework fo...

Jul 2026 42443645
Feasibility of using artificial intelligence models to identify the obturator nerve in laparoscopic selective lateral pelvic lymph node dissection.

BACKGROUND: Protecting the obturator nerve (ON) is crucial during selective lateral pelvic lymph nod...

(2)
Jul 2026 42443674
Optimizing the mathematical model and technical standards for unilateral biportal endoscopic spinal surgery through machine learning-based video analysis.

OBJECTIVE: To enhance the efficacy of the unilateral biportal endoscopic spinal procedure, the spina...

(3)
Jul 2026 42437795
Reframing Response in Neoadjuvant Chemotherapy for Ovarian Cancer: Integrating Molecular and Functional Biomarkers.

BACKGROUND: Neoadjuvant chemotherapy (NACT) is an established treatment strategy for advanced epithe...

(1)
Jul 2026 42437630
Prediction of Exercise Intolerance in the Recovery Period After Cardiovascular Surgery Using Perioperative Clinical Parameters.

OBJECTIVE: To develop and validate a machine learning model for predicting reduced exercise capacity...

Jul 2026 42437656
Development and validation of interpretable machine learning models to predict 30-day mortality in patients with intracerebral hemorrhage.

Intracerebral hemorrhage (ICH) carries high early mortality. To enable personalized decision-making,...

Jul 2026 42437785
A systematic approach to standardizing the visual appearance of endometriotic lesions for artificial intelligence recognition.

INTRODUCTION: Numerous studies have shown that the diagnostic performance and reproducibility of vis...

(3)
Jul 2026 42433129
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