Latest AI and machine learning research in surgery for healthcare professionals.
OBJECTIVES: This study proposes a predictive model that integrates radiological features with multidimensional clinical factors for the accurate prediction of postoperative infection in maxillofacial fracture patients treated with absorbable fixation plates. METHODS: This model incorporates a fusion algorithm based on K-means clustering and fully connected neural networks to perform in-depth analy...
BACKGROUND: Breast implant surgery is a high-volume procedure, yet predicting device-related complications that require revision surgery remains challenging, with current registry-based methods lacking accuracy. We aimed to develop and validate machine learning (ML) models to predict revision owing to complications following primary breast implant surgery, using a large multi-centre data from the ...
Reasoning capability has significantly advanced complex logical inference and robotic decision-making in general domains. However, its potential in th...
OBJECTIVE: To quantify the comprehensive financial impact from implementing a deep learning algorithm for assistive patient triage within a high-volum...
BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis, with high early recurrence rates after curative resection. Current predictio...
Burn injuries are associated with significant morbidity and mortality, largely driven by infectious complications. Disruption of the skin barrier, sys...
Drug-resistant epilepsy (DRE) affects millions of people worldwide and remains a major therapeutic challenge, largely due to the difficulty in precise...
BACKGROUND: Intramyocardial hemorrhage (IMH) complicates approximately 40% of reperfused ST-segment elevation myocardial infarctions (STEMIs) and is a...
Deep learning has rapidly emerged as a transformative technology in oncology, offering new capabilities in treatment response prediction and personali...
OBJECTIVES: To perform a targeted bibliometric analysis of the Oral and Maxillofacial Surgery (OMFS) literature from 2025 to map its current intellect...
PURPOSE: To synthesize and critically appraise evidence from systematic reviews and meta-analyses on pterygium, identifying domains with robust suppor...
Breast conserving surgery (BCS) aims to excise breast tumors whilst preserving breast-related quality of life, but is complicated by the challenge of ...
BACKGROUND: Membranous nephropathy (MN) and IgA nephropathy (IgAN) are the two most common primary glomerular diseases in China, with distinct pathoph...
BACKGROUND: Labiaplasty has experienced growing popularity, with over 10,800 procedures performed annually in the USA. Discussions about this surgery ...
BACKGROUND: Preoperative psychological risk assessment is critical yet challenging in plastic surgery because of high rates of body dysmorphic disorde...
BACKGROUND AND OBJECTIVES: The variability in clinical phenotype, radiological features and treatment outcomes of idiopathic normal pressure hydroceph...
PURPOSE OF REVIEW: This scoping review synthesizes contemporary evidence on the role of simulation, uro-technology and structured training curricula i...
Cartilage injury is a prevalent source of pain and disability, often progressing to osteoarthritis if untreated. MR imaging represents the reference s...
AIMS: Diabetes mellitus (DM) is a major contributor to adverse outcomes in patients with heart failure with preserved ejection fraction (HFpEF). We ai...
BACKGROUND: Surgical training suffers from a global deficit; 5 billion people lack access to safe surgery, with an estimated 143 million additional pr...