Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND. Research on artificial intelligence (AI)-based computer-assisted detection and diagnosis (CADe/CADx) algorithms has focused primarily on digital mammography rather than on digital breast tomosynthesis (DBT). Additionally, DBT-related studies have not comprehensively stratified performance by cancer characteristics. OBJECTIVE. This study's purpose was to evaluate factors associated with...
Stretchable tactile sensors are essential for robotic skin; however, conventional planar integration methods struggle to accommodate complex geometries, thereby limiting advanced sensing applications. Existing fabrication approaches (e.g., transfer printing) also face scalability challenges due to their reliance on preassembled planar structures. Inspired by biological systems, we propose a novel ...
OBJECTIVES: By comparing deep learning and habitat analysis models based on contrast-enhanced CT (CECT), this study explores a novel approach to predi...
BACKGROUND: Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment plann...
BACKGROUND: A high adenoma detection rate in screening colonoscopy is associated with decreased rates of post-colonoscopy colorectal cancer. The use o...
In the rational design of novel polymers, the role of simulation methods based on classical physics is often hindered by the limited accuracy and tran...
INTRODUCTION: Large language models (LLMs) are increasingly being explored in healthcare, particularly for enhancing patient education. In spine surge...
IMPORTANCE: Artificial intelligence (AI)-enabled scribes have been proposed to reduce electronic health record (EHR) burden and improve clinician sati...
Giant cell arteritis (GCA) is a systemic vasculitis that predominantly affects mediumand large-sized arteries. Delayed diagnosis may result in irrever...
Exploring large language models (LLMs) performance in the specific medical domain can help understand their generalizability in real-world application...
BACKGROUND: Primary cardiac malignancies are rare and highly aggressive, with limited clinical evidence to guide optimal treatment. This study evaluat...
BACKGROUND: In clinical stage IA lung adenocarcinoma (LUAD), rapid and accurate intraoperative diagnosis is crucial to decide whether to perform segme...
BACKGROUND: Robotic colorectal surgery has achieved widespread clinical adoption, yet meaningful standardisation of intraoperative practice remains li...
OBJECTIVE: Accurate preoperative planning for dental implants, especially in edentulous or partially edentulous patients, relies on precise localizati...
BACKGROUND: Endoscopic retrograde cholangiopancreatography (ERCP) serves as an essential procedure for diagnosing and treating pancreaticobiliary diso...
BACKGROUND: Ureteroscopic lithotripsy is a minimally invasive surgical procedure used to treat kidney stones. It faces challenges like a long learning...
OBJECTIVE: To examine whether the economic benefits of bariatric surgery differ by patient subgroups, with the aim of identifying those that may yield...
BACKGROUND/AIM: The incidence of postoperative complications in minimally-invasive surgery for pancreatic disease remains a concern. The application o...
BACKGROUND AND AIMS: Computer-aided detection (CADe) is anticipated to enhance adenoma detection rate (ADRs). The aim of this study was to systematica...
PURPOSE: Our study aims to develop a machine learning model that not only predicts the occurrence of post-induction hypotension (PIH) but also assesse...