Latest AI and machine learning research in surgery for healthcare professionals.
A large academic medical center in the Pacific Northwest addressed perioperative staffing challenges by implementing a workflow with application of AI assistance to optimize daily assignments. The initiative integrated real-time and historical data to support consistent matching of staff competencies and procedure experience with scheduled procedures and surgeons. The workflow streamlined processe...
Uniportal full-endoscopic spine surgery (FESS) has expanded over three decades from percutaneous discectomy to include multilevel decompression, endoscopic interbody fusion (Endo-LIF), spinal infection management, and tumor surgery. The Republic of Korea is a leading contributor to this field: across bibliometric analyses, six of the world's top ten contributing authors and three of the top five c...
BACKGROUND: Goal-directed therapy allows clinicians to optimize perfusion and volume status in patients postoperatively. OBJECTIVE: To evaluate the ef...
Oculoplasty and orbital surgeries demand high precision due to confined anatomy and nearby critical structures. Recent innovations in orbital surgerie...
BACKGROUND AND OBJECTIVE: The treatment available for chronic rhinosinusitis with nasal polyps (CRSwNP) has remained unsatisfactory. Patient-reported ...
OBJECTIVES: To develop and validate explainable machine learning (ML) models predicting urinary stone composition from routinely available clinical va...
BACKGROUND AND AIMS: Takotsubo syndrome (TTS) closely mimics acute coronary syndrome (ACS). Early differentiation remains challenging because diagnosi...
BACKGROUND: Lymphovascular invasion (LVI) is a critical prognostic factor in invasive breast cancer; however, reliable preoperative prediction remains...
Urolithiasis remains a significant clinical burden, and accurately predicting stone-free status after retrograde intrarenal surgery (RIRS) is essentia...
PURPOSE: This study aimed to compare the diagnostic, investigative, and treatment decisions generated by five contemporary large language models (LLMs...
BACKGROUND: Oral and maxillofacial surgery (OMFS) has undergone rapid scientific evolution over the past decade, driven by technological innovation an...
BACKGROUND CONTEXT: Accurate Current Procedural Terminology (CPT) coding is essential for compliant revenue cycle management in spine surgery. However...
Pediatric moyamoya disease (MMD) is a progressive steno-occlusive arteriopathy that carries a high risk of recurrent ischemic stroke and neurocognitiv...
Magnetic resonance spectroscopy (MRS) provides non-invasive in vivo assessment of brain tumour metabolism and complements conventional magnetic resona...
BACKGROUND: Technical errors during surgery are a major contributor to preventable adverse outcomes, driving demand for objective assessment tools. La...
INTRODUCTION: The maturity of the mid-palatal suture (MPS) could largely determine the necessity of more invasive interventions for correcting transve...
PURPOSE: To assess the feasibility of a deep learning model for predicting early structural integrity after arthroscopic rotator cuff repair (ARCR) us...
The liver is characterized by abundant blood supply and intricate anatomical architecture,rendering intraoperative and postoperative hemorrhage a prim...
In recent years, a cluster of digital intelligence technologies, represented by artificial intelligence, three-dimensional visualization, augmented re...
PURPOSE: Accurate evaluation of dentin-composite bond integrity is essential for predicting the longevity of resin-based restorations. However, conven...