Biomedical physics & engineering express
Oct 15, 2025
. Craniotomy is a critical prerequisite for numerous neuro-surgeries, including intracranial tumor resection and cerebral hemorrhage decompression. However, conventional manual craniotomy methods are often time-consuming, labor-intensive, and associa...
This study aims to offer a multilayered assessment of the adoption and implementation of robotic surgery (RS) in Türkiye by centring surgeons' individual experiences while concurrently examining institutional conditions and broader health-system fact...
INTRODUCTION: With increasing accessibility to Artificial Intelligence (AI) chatbots, the precision and clarity of medical information provided require rigorous assessment. Urologic telesurgery represents a complex concept that patients will investig...
BACKGROUND: Spinal angiography (SA) remains the gold standard for evaluating spinal cord vasculature, but traditional approaches expose operators and patients to significant ionizing radiation. Robotic-assisted platforms offer potential advantages th...
The adrenal glands are small but vital endocrine organs responsible for hormone production, which is essential for stress response, fluid balance, and blood pressure regulation. Adrenalectomy, the surgical removal of one or both adrenal glands, is in...
Robotic surgery has now been widely applied in the treatment of colorectal cancer (CRC), driving significant growth in related research activities. This study aims to reveal the research hotspots, emerging frontiers, and future research trends in the...
Robotic-assisted radical prostatectomy (RARP) has become the gold standard treatment for localized prostate cancer. However, predicting post-operative outcomes remains challenging. This study aims to develop and validate predictive models for key out...
We read with interest the recent article by Yu et al., "Interpretable machine learning model predicts 1-year inguinal hernia risk after robot-assisted radical prostatectomy" (DOI: 10.1007/s11701-025-02723-5) , which represents an important step in ap...
This study explores the integration of artificial intelligence (AI) and finite element analysis (FEA) in spine surgery, highlighting their complementary roles across preoperative planning, intraoperative execution, and postoperative outcome predictio...
PURPOSE: To create machine learning (ML) models based on inflammatory markers and coagulation parameters for predicting intraoperative hemodynamic Instability (HI) in sustained hypertensive patients with pheochromocytomas and paragangliomas (PPGLs).
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