Surgery

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

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Transforming healthcare: the impact of artificial intelligence on diagnostics, pharmaceuticals and ethical considerations - a comprehensive review.

Interpretability of results remains challenging in most health industries since patients may suffer ...

Predicting alveolar nerve injury and the difficulty level of extraction impacted third molars: a systematic review of deep learning approaches.

BACKGROUND: Third molar extraction, a common dental procedure, often involves complications, such as...

Risk prediction of stroke-associated pneumonia in acute ischemic stroke with atrial fibrillation using machine learning models.

Stroke-associated pneumonia (SAP) is a serious complication of acute ischemic stroke (AIS), signific...

Convolutional autoencoder-based deep learning for intracerebral hemorrhage classification using brain CT images.

Intracerebral haemorrhage (ICH) is a common form of stroke that affects millions of people worldwide...

Contemporary Prevention and Management of Postoperative Delirium in Cardiac Surgery Patients.

This review examines the prevention and management of postoperative delirium in cardiac surgery pati...

Artificial Intelligence in Rhinoplasty: Precision or Over-Reliance?

The integration of artificial intelligence (AI) into rhinoplasty has transformed preoperative planni...

Distributed adaptive sliding mode control with deep recurrent neural network for cooperative robotic system in automated fiber placement.

In this article, a distributed control strategy using an adaptive sliding mode controller (ASMC) is ...

Artificial Intelligence as a Potential Tool for Predicting Surgical Margin Status in Early Breast Cancer Using Mammographic Specimen Images.

: Breast cancer is the most common malignancy among women globally, with an increasing incidence, pa...

Development of a deep-learning algorithm for etiological classification of subarachnoid hemorrhage using non-contrast CT scans.

OBJECTIVES: This study aims to develop a deep learning algorithm for differentiating aneurysmal suba...

A Point Cloud Generation Network for Automatic Prediction of Postoperative Maxillofacial Soft Tissue.

PURPOSE: In the planning of maxillofacial surgery, accurately evaluating the postoperative soft tiss...

Breath Insights: Advancing Lung Cancer Early-Stage Detection Through AI Algorithms in Non-Invasive VOC Profiling Trials.

Lung cancer (LC) is the leading cause of cancer-related deaths worldwide. Effective screening strat...

Deep learning predicts HER2 status in invasive breast cancer from multimodal ultrasound and MRI.

The preoperative human epidermal growth factor receptor type 2 (HER2) status of breast cancer is typ...

Use of Virtual Reality in the Pediatric Perioperative Setting and for Induction of Anesthesia: Mixed Methods Pilot Feasibility Study.

BACKGROUND: Children commonly experience high levels of anxiety prior to surgery. This distress is a...

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