Surgery

Methodological Pluralism in Surgical Evidence: from Concept to Practice.

Evidence-based surgery has traditionally been framed through drug-development paradigms in which randomized controlled trials (RCTs) occupy a central position. Yet surgical innovation raises specific methodological challenges, including operator dependence, evolving techniques, learning curves, centre effects, and the centrality of patient-centred outcomes. This perspective article examines how sc...

Combining Artificial Intelligence and Indocyanine Green-Dyed Gauze for Dual-Navigation in Minimally Invasive Gastrointestinal Surgery: A Preliminary Study.

This preliminary study evaluated the feasibility of a dual-navigation strategy that integrates artificial intelligence (AI)-assisted identification of safe dissection planes with indocyanine green (ICG)-dyed gauze-based localization of anatomical targets during minimally invasive gastrointestinal surgery. Fluorescence imaging is widely used for intraoperative guidance, and artificial intelligence-...

Tissue Biology and the Biomechanics of Modern Gastrointestinal Stapling: Principles for Successful Surgical Stapling.

BackgroundThe integration of gastrointestinal (GI) tissue biology with modern stapler mechanics remains a critical gap in optimizing surgical outcomes...

[Concepts and clinical application of digital 3D microscopy].

BACKGROUND: Heads-up 3D surgery is becoming increasingly more important in ophthalmic microsurgery. Digital 3D visualization systems supplement tradit...

Thermal Heterogeneity After Deep Hypothermic Circulatory Arrest: A New Framework for Understanding Rewarming and Physiological Recovery.

Deep hypothermic circulatory arrest (DHCA) is widely used during complex aortic arch surgery to reduce metabolic demand and protect vital organs. Conv...

Machine learning reveals temperature as a key predictor of dengue risk across Thailand's provinces: A 20-year analysis.

BACKGROUND: Dengue fever remains a critical public health challenge in Thailand, with transmission dynamics driven by complex interactions between env...

Transforming Orthopaedic Trauma Care: Forecasting Operating Room Demand by Harnessing Time-Series Analysis and Machine Learning.

BACKGROUND: Efficient allocation of operating room (OR) time is critical in trauma centers, where unpredictable volumes lead to wasted resources. Fore...

Who Owns Arthroplasty Data?: Governance in the Era of Robotics, Registries, and Industry Partnerships.

Robotic platforms, proprietary registries, and advanced analytics have transformed total joint arthroplasty into a data-intensive subspecialty. Contem...

Machine Learning for Predicting Critical Postoperative Interventions: Proof-of-Concept Study Using the INSPIRE Dataset.

BACKGROUND: Postoperative complications contribute significantly to patient morbidity and mortality. Early prediction of such complications could enab...

Fusion Gene Detection Enhances Clinical Outcome Prediction of Hepatocellular Carcinoma Through Machine Learning Analyses.

Hepatocellular carcinoma is one of the most lethal malignancies for humans. Assessing the clinical outcomes of HCC remains challenging. In this study,...

An interpretable machine learning approach to predict left ventricular aneurysm formation following primary PCI in STEMI: A retrospective study with independent external validation.

BACKGROUND: Left ventricular aneurysm (LVA) remains a clinically important structural complication after primary percutaneous coronary intervention (p...

Development and Multi-center Validation of a Breathomics-Based Triage Tool for Lung Cancer: A Prospective Study of 5,214 Participants.

BACKGROUND: The inherent false-positive rate of computed tomography (CT) necessitates efficient, non-invasive triage tools to distinguish lung cancer ...

Computed tomography body composition-based prediction of postoperative quality of life in non-small cell lung cancer patients.

OBJECTIVES: This paper aims to design an explainable machine learning model capable of predicting postoperative quality of life in elderly NSCLC patie...

[Strategies for complications prevention and management of complex total hip arthroplasty].

Although the complications of complex total hip arthroplasty (THA) are decreasing with the progress of surgical technology, it is still a difficult cl...

Time-dependent prognostic value of automated Ki67 assessment and its integration with molecular risk profiling in WHO grade 2 meningioma.

WHO grade 2 meningiomas exhibit highly heterogeneous clinical courses. While the Ki67 proliferation index is a standard biomarker, its prognostic util...

Transfer learning prediction of 2-year native liver survival in biliary atresia following Kasai portoenterostomy using early perioperative biochemical data up to 3 months postoperatively.

BACKGROUND: Biliary atresia (BA), a rare but life-threatening neonatal cholestatic disorder, necessitates Kasai portoenterostomy (KPE) as the primary ...

Current Treatment Options and Emerging Technologies for Pelvic Bone Tumors: From Limb Salvage to Precision Oncology.

In our practice, the treatment of pelvic bone tumors should begin with a multidisciplinary sarcoma-board evaluation that integrates biopsy-proven hist...

Machine learning-based prediction of perioperative complications in spine surgery: a large-scale model development and validation study.

BACKGROUND: Spinal surgery carries substantial perioperative risks. Early identification of high-risk patients is critical for improving outcomes. Mac...

An overview of current and emerging strategies for phantom limb pain.

INTRODUCTION: Phantom limb pain (PLP) is a disabling neuropathic pain syndrome affecting many individuals following limb amputation. Despite decades o...

Preoperative Optimization for Ventral Hernia Repair: Augmented Evidence Review.

BACKGROUND: Preoperative optimization is widely recommended for patients undergoing ventral hernia repair. However, the clinical impact of individual ...