Latest AI and machine learning research in surgery for healthcare professionals.
Breast cancer is a significant global public health concern, with various treatment options availabl...
OBJECTIVES: This study aimed to develop and validate a robotic system capable of performing accurate...
BACKGROUND: Patients undergo regular clinical follow-up after laminoplasty for cervical myelopathy. ...
: Intra/postpartum hemorrhage stands as a significant obstetric emergency, ranking among the top fiv...
Pure laparoscopic donor hepatectomy (PLDH) has become a standard practice for living donor liver tra...
The study aims to investigate the potential of training efficient deep learning models by using 2.5D...
Intracranial hemorrhage is a critical emergency that requires prompt and accurate diagnosis in the e...
This study aimed to compare the long-term outcomes of breast-conserving surgery plus radiotherapy (B...
This study aimed to predict arginine vasopressin deficiency (AVP-D) following transsphenoidal pituit...
Continuous renal replacement therapy (CRRT) is a life-saving procedure for sepsis but the benefit of...
PURPOSE: Intracranial hemorrhage (ICH) is a life-threatening condition requiring rapid diagnostic an...
BACKGROUND AND AIM: Accurate stratification of the risk of lymph node metastasis (LNM) following end...
BACKGROUND The objective of this study was to develop and validate machine learning (ML) algorithms ...
BACKGROUND: Cerebral hemorrhage is a critical medical condition that necessitates a rapid and precis...
BACKGROUND: The optimal number of lymph nodes to be dissected during lung cancer surgery to minimise...
Ultrasound-guided quadratus lumborum block (QLB) technology has become a widely used perioperative a...
BACKGROUND: In the worldwide, real-life setting, some candidates for right colectomy still receive n...
The heart's intricate myocardial architecture has been called the Gordian knot of anatomy, an imposs...
Intraventricular hemorrhage (IVH) in preterm neonates presents a high risk for developing posthemorr...
OBJECTIVE: To create a novel comorbidity score tailored for surgical database research. BACKGROUND: ...
BACKGROUND: We lack evidence on the cumulative effectiveness of machine learning (ML)-driven interve...