Surgery

Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data.

Knee injuries are common in several people, frequently controlling for significant injuries and heal...

Deep learning radiomics and mediastinal adipose tissue-based nomogram for preoperative prediction of postoperative‌ brain metastasis risk in non-small cell lung cancer.

Prediction of recurrence after surgery for pituitary adenoma using machine learning- based models: systematic review and meta-analysis.

BACKGROUND: Predicting pituitary adenoma (PA) recurrence after surgical resection is critical for gu...

Large language models versus traditional textbooks: optimizing learning for plastic surgery case preparation.

BACKGROUND: Large language models (LLMs), such as ChatGPT-4 and Gemini, represent a new frontier in ...

Machine learning and transformer models for prediction of postoperative pneumonia risk in patients with lower limb fractures.

Postoperative pneumonia, a prevalent complication arising from lower limb fracture surgery, can sign...

Auto-Segmentation via deep-learning approaches for the assessment of flap volume after reconstructive surgery or radiotherapy in head and neck cancer.

Reconstructive flap surgery aims to restore the substance and function losses associated with tumor ...

Preoperative prediction of major adverse outcomes after total arch replacement in acute type A aortic dissection based on machine learning ensemble.

A machine learning model was developed and validated to predict postoperative complications in patie...

Developed a knowledge base of risk factors for postoperative cognitive dysfunction: a retrospective database study.

Postoperative cognitive dysfunction (POCD), a heterogeneous spectrum of surgery/anesthesia-associate...

Bearing fault diagnosis for variable operating conditions based on KAN convolution and dual branch fusion attention.

This paper proposes a bearing fault diagnosis method based on Kolmogorov-Arnold Convolutional Networ...

GenAI exceeds clinical experts in predicting acute kidney injury following paediatric cardiopulmonary bypass.

The emergence of large language models (LLMs) opens new horizons to leverage, often unused, informat...

Abstraction hierarchy to define biofoundry workflows and operations for interoperable synthetic biology research and applications.

Lack of standardization in biofoundries limits the scalability and efficiency of synthetic biology r...

Chemotactic navigation in robotic swimmers via reset-free hierarchical reinforcement learning.

Microorganisms have evolved diverse strategies to propel themselves in viscous fluids, navigate comp...

Decades of Scientific Data and Global Media Reporting on Complications in Non-surgical Aesthetic Treatments for a Transparent Safety Profile: Kissing Snow White Awake.

INTRODUCTION: Non-surgical aesthetic treatments (NSATs) have gained significant traction over the pa...

A novel artificial intelligence-based system for quality monitoring during esophagogastroduodenoscopy: a multicenter randomized controlled study.

Esophagogastroduodenoscopy (EGD) is the pivotal procedure for diagnosis of upper gastrointestinal (U...

Natural orifice transluminal endoscopic surgery: history and current development.

Natural orifice transluminal endoscopic surgery (NOTES) represents an innovative advancement in mini...

Enhanced deep learning framework for real-time instrument detection and tracking in laparoscopic surgery using advanced augmentation and tracking techniques.

BACKGROUND: Accurate tracking and enumeration of surgical instruments are critical for patient safet...

Landmark display system for laparoscopic inguinal hernia repair using artificial intelligence.

BACKGROUND: Chronic postoperative inguinal pain (CPIP) is a major complication of inguinal hernia re...

Intraoperative Assessment of Parathyroidectomy Outcomes via Autoencoder-Support-Vector-Machine-Assisted Label-Free Differential SERS Spectroscopy.

Intraoperative guidance plays a pivotal role in enhancing surgical success rates and optimizing pati...

Metabolic Phenotypes, Genotypes, and Gut Microbiome Signatures in Obesity: Implications for Precision Nutrition Strategies in Type 2 Diabetes Prevention.

The worldwide prevalence of overweight and obesity has increased rapidly in the last decades. This r...

Establishment of a machine learning-based predictive model with dual-center external validation: investigating the role of robotic surgery in preventing delayed gastric emptying for right-sided colon cancer.

After colorectal surgery, delayed gastric emptying (DGE) is a clinically significant postoperative c...

MRI's evolving role in rectal cancer in the era of personalized medicine.

Recent decades have seen great advances in the diagnosis and management of rectal cancer, and magnet...