Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVE: To develop and internally validate a machine-learning model for the early prediction of p...
OBJECTIVE: To develop and validate a prediction model integrating laboratory parameters and thromboe...
PURPOSE: The use of neuronavigation with superimposed mapping tools has enabled visualization of key...
Artificial intelligence (AI) and machine learning (ML) are rapidly transforming surgery, moving beyo...
BACKGROUND: Dynamic infrared thermography (DIRT) is increasingly being utilized for perforator selec...
PURPOSE: To objectively quantify the motion paths of surgical instruments during cataract surgery ac...
Accurate anatomical segmentation in computed tomography (CT) imaging is vital for diagnostics and vi...
Hereditary renal cell carcinoma (RCC) accounts for approximately 5-8% of all renal cancers. This rev...
BACKGROUND: Aggressive recurrence (AR) is an important factor affecting prognosis after surgery for ...
BACKGROUND: Artificial intelligence (AI) is increasingly applied in healthcare to support decision-m...
BACKGROUND: Accurate monitoring of the depth of anaesthesia is essential for patient safety. Althoug...
BACKGROUND & AIMS: Microvascular invasion (MVI) is a key determinant of recurrence and poor outcomes...
BackgroundAccurate intraoperative blood loss estimation is crucial, particularly for pediatric and a...
BackgroundCommercially available large language models (LLMs) have demonstrated impressive capabilit...
OBJECTIVE: Fenestrated-branched endovascular aortic repair (F-BEVAR) is a complex procedure that req...
Accurate detection of tumor boundaries is critical for the success of oncologic surgical interventio...
BACKGROUND AND OBJECTIVE: Accurate intraoperative differentiation between focal nodular hyperplasia ...
BACKGROUND: Understanding the patient-specific anatomy of the superior mesenteric artery (SMA) and i...
PURPOSE: Pediatric adrenocortical tumors (pACTs) are rare and clinically heterogeneous. Existing ris...
The aim of this study was to develop a machine learning classification model that can forecast salva...
INTRODUCTION: larynGuide™ is a novel assistive software integrated with the C-MAC® videolaryngoscope...