Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND AND OBJECTIVE: Accurate and safe needle insertion is critical in abdominal percutaneous interventions, particularly for liver-targeted procedures. Respiratory-induced organ motion presents a major challenge to precision, motivating the need for robotic assistance and real-time motion compensation. METHODS: This study presents a robotic puncture system integrated with ultrasound image-ba...
BACKGROUND: Intracranial hypertension is a life-threatening complication of acute brain injuries such as traumatic brain injury (TBI), subarachnoid hemorrhage (SAH), or intracerebral hemorrhage (ICH). In low-income and middle-income countries (LMICs), limited resources can delay timely neurocritical interventions. Smartphone-based quantitative pupillometry offers a scalable solution for early dete...
PURPOSE: Non-invasive differentiation of isocitrate dehydrogenase (IDH)-mutant, 1p/19q non-codeleted astrocytomas from other non-enhancing low-grade g...
BACKGROUND: Artificial intelligence (AI) is a rapidly growing technological advancement that can be used to transform surgical practice. Applications ...
Artificial intelligence (AI) is increasingly used in facial aesthetic surgery. This specialty is well-positioned to benefit from its ability to analyz...
BACKGROUND: Complication risks in children and adolescents with type 1 diabetes (T1D) can lead to serious health outcomes if not detected early. Despi...
BACKGROUND: Postoperative flap monitoring is critical for early detection and salvage of compromised flaps. As shorter hospital stays and outpatient p...
INTRODUCTION: Artificial intelligence (AI) for surgical workflow analysis often fails to generalize because surgical actions lack a standardized, fine...
BACKGROUND: Artificial intelligence (AI), augmented reality (AR), and robotics are rapidly transforming aesthetic practice. Despite their growing inte...
Blood transfusion is common during pediatric craniosynostosis surgery; however, transfusion volumes and use of cell salvage systems can vary considera...
OBJECTIVE: To explore clinically meaningful phenotypes of preeclampsia using unsupervised machine learning. DESIGN: Prospective cohort study. SETTING:...
BACKGROUND: Postoperative agitation (EA) is a common complication in pediatric patients, and its early identification is crucial for improving periope...
Artificial intelligence shows promise for improving care for peripheral artery disease through earlier detection, improved risk stratification, more t...
BackgroundArtificial intelligence (AI) enables hand motion tracking from standard surgical video recordings; however, translating these data into mean...
Invasive aquatic plants such as water hyacinth (Eichhornia crassipes [Mart.] Solms) pose significant threats to freshwater ecosystems through obstruct...
Small tissue biopsies, including renal core biopsies, bone marrow trephines, gastrointestinal endoscopic samples, prostate needle cores, liver biopsie...
BACKGROUND: Laparoscopic Roux-en-Y gastric bypass (LRYGB) is a cornerstone of bariatric surgery, yet its complexity poses challenges in visualization ...
Intraoperative assessment of femoral stem initial stability in cementless total hip arthroplasty (THA) predominantly relies on subjective tactile and ...
During the neonatal period, newborns are more susceptible to developing conditions and diseases due to their fragility of the transition and adaptatio...
BACKGROUND: Although an artificial intelligence-driven three-dimensional reconstruction system (AI-3D) facilitates preoperative planning, its impact o...