Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND: Gestational diabetes mellitus (GDM) remains a prevalent and heterogeneous pregnancy complication with limited strategies for early identification. We aimed to investigate efficient approaches for early prediction of GDM with clinical and genetic risk factors. METHODS: A previously developed machine-learning model based on clinical characteristics achieved an area under the curve (AUC) ...
INTRODUCTION: Artificial intelligence (AI) has demonstrated transformative potential in medical education and assessment, with large language models achieving competitive results across multiple high-stakes examinations. In this study, we evaluated the performance and inter-run reliability of 10 widely adopted large language models (LLMs) on the European Board of Hand Surgery written examination. ...
This cross-sectional study explored the feasibility of artificial intelligence (AI)-powered tooth segmentation from cone-beam computed tomography (CBC...
The 6th edition of the WHO Classification of Breast Tumours introduces both major and minor changes based on recent advances in our understanding of b...
BACKGROUND: Surgical site infection (SSI) surveillance can be time consuming and resource intensive. This study investigates the potential of generati...
Tilted dental implant systems are widely used in the rehabilitation of anatomically compromised jaws and are supported by international consensus guid...
BACKGROUND: Endoscopic brow lift surgery is increasingly performed, yet there are concerns about potential increase in forehead height and hairline po...
BACKGROUND: Therapeutic ultrasound has emerged as a promising noninvasive or minimally invasive modality in ophthalmology, offering novel solutions ac...
INTRODUCTION: Artificial intelligence (AI) systems are increasingly used in dental radiology to support endodontic diagnosis. However, their diagnosti...
INTRODUCTION: Lymphedema is a chronic complication of breast cancer treatments that can significantly impact the well-being of survivors. This scoping...
Intraoperative frozen section pathological diagnosis of lung adenocarcinoma serves as the gold standard for determining the extent of surgical resecti...
Minimally invasive surgery (MIS) increasingly benefits from soft robotic platforms that offer enhanced compliance and safer human-robot interaction. H...
BACKGROUND/OBJECTIVE: Aneurysmal subarachnoid hemorrhage (aSAH) is complicated by angiographic cerebral vasospasm and delayed cerebral ischemia (DCI),...
BACKGROUND: Glioblastoma recurrence is driven by diffuse microscopic infiltration beyond the contrast-enhancing tumour margin. GlioMap is an open-acce...
Postoperative delirium (POD) is a common and serious complication in elderly hip fracture patients, including those undergoing surgery for femoral nec...
In the automated operation of the chemical laboratory, using a robotic arm to pick up volumetric flasks is a core step of the operation process. By im...
BACKGROUND: Artificial intelligence (AI) supported imaging is increasingly used across plastic surgery, including burn care, to assist with assessment...
OBJECTIVE: To develop and validate a deep learning model for interpretation of fluorescence confocal microscopy (FCM) images for intraoperative surgic...