Surgery

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

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Beyond the Mirror: Body Dysmorphic Disorder and Emerging Dysmorphias in Aesthetic Surgery.

Driven by social media and artificial intelligence technologies, new dysmorphias increase pressures ...

Right ventricular dysfunction following tetralogy of Fallot correction: anatomical determinants and therapeutic strategies.

Right ventricular dysfunction following surgical correction of tetralogy of Fallot (TOF) remains a m...

Enhancing cell instance segmentation in scanning electron microscopy images via a deep contour closing operator.

Accurately segmenting and individualizing cells in scanning electron microscopy (SEM) images is a hi...

Generation of surgical reports for lymph node dissection during laparoscopic gastric cancer surgery based on artificial intelligence.

PURPOSE: This study aimed to develop an artificial intelligence (AI) model for the surgical report o...

Application of type-2 heptagonal fuzzy sets with multiple operators in multi-criteria decision-making for identifying risk factors of Zika virus.

PURPOSE: This study aims to identify and rank the key risk factors associated with the Zika virus by...

Improved gated recurrent unit-based osteosarcoma prediction on histology images: a meta-heuristic-oriented optimization concept.

The major prevalent primary bone cancer is osteosarcoma. Preoperative chemotherapy is accompanied by...

The AI-enhanced surgeon - integrating black-box artificial intelligence in the operating room.

New artificial intelligence (AI)/machine learning (ML) technology offers great potential to assist s...

Multiparametric MRI and transfer learning for predicting positive margins in breast-conserving surgery: a multi-center study.

This study aimed to predict positive surgical margins in breast-conserving surgery (BCS) using multi...

Predicting a failure of postoperative thromboprophylaxis in non-small cell lung cancer: A stacking machine learning approach.

BACKGROUND: Non-small-cell lung cancer (NSCLC) and its surgery significantly increase the venous thr...

Fully robotic recipient left graft living donor liver transplantation.

We report the first 2 cases of fully robotic recipient left graft living donor liver transplants, de...

Evidence-based artificial intelligence: Implementing retrieval-augmented generation models to enhance clinical decision support in plastic surgery.

The rapid advancement of large language models (LLMs) has generated significant enthusiasm within he...

Artificial intelligence for intraoperative video analysis in robotic-assisted esophagectomy.

BACKGROUND: Robotic-assisted minimally invasive esophagectomy (RAMIE) is a complex surgical procedur...

Optimizing intraoperative AI: evaluation of YOLOv8 for real-time recognition of robotic and laparoscopic instruments.

The accurate recognition of surgical instruments is essential for the advancement of intraoperative ...

A predictive model for MGMT promoter methylation status in glioblastoma based on terahertz spectral data.

O-methylguanine-DNA methyltransferase (MGMT) promoter methylation is a crucial biomarker in glioblas...

Deep Learning Based on Ultrasound Images Differentiates Parotid Gland Pleomorphic Adenomas and Warthin Tumors.

Exploring the clinical significance of employing deep learning methodologies on ultrasound images fo...

The Prediction of Venous Thromboembolism Using Artificial Intelligence and Machine Learning in Lower Extremity Arthroplasty: A Systematic Review.

BACKGROUND: Venous thromboembolism (VTE), including deep vein thrombosis and pulmonary embolism, is ...

Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms.

Microorganisms are one of the most promising biomarkers for cancer, and the relationship between mic...

Developing a high-performance AI model for spontaneous intracerebral hemorrhage mortality prediction using machine learning in ICU settings.

BACKGROUND: Spontaneous intracerebral hemorrhage (SICH) is a devastating condition that significantl...

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