Latest AI and machine learning research in surgery for healthcare professionals.
INTRODUCTION: The application of artificial intelligence (AI) in the assessment of procedural skills...
Patients undergoing open surgical repair of abdominal aortic aneurysm (AAA) have a high risk of post...
INTRODUCTION: Robotic technologies have been developed for motor rehabilitation and such robots have...
PURPOSE: Minimally invasive needle-based interventions are commonly used in cancer diagnosis and tre...
BACKGROUND: Manual CPT coding from operative notes is a time-intensive process that adds to the admi...
In dexterous robotic hand design, achieving high mobility and adaptability comparable to human hands...
Surgical instrument segmentation is recognised as a key enabler in providing advanced surgical assis...
Papillary thyroid carcinoma (PTC) is a common endocrine malignancy with a generally favorable progno...
Lung cancer remains the leading cause of cancer-related deaths globally, often detected in advanced ...
Advancements in assistive robots have significantly transformed healthcare procedures in recent year...
This study introduces an innovative method for gesture recognition in medical robotics, utilizing Ca...
PURPOSE: The wedge effect (V-effect) is a common complication in intramedullary nailing surgery for ...
PURPOSE: Laparoscopic cholecystectomy (LC) operative difficulty (LCOD) is highly variable and influe...
Study DesignLiterature review of key topics related to degenerative cervical myelopathy (DCM) with c...
INTRODUCTION: The objective of this study was to employ artificial intelligence (AI) technology for ...
BACKGROUND/OBJECTIVES: Obesity is a global health issue, and in this context, bariatric surgery is c...
Artificial intelligence (AI) has the potential to improve healthcare and patient safety and is curre...
Burst suppression (BS) is an electroencephalogram (EEG) pattern observed in patients undergoing gene...
BACKGROUND: The creation of operative reports is a tedious documentation task that increases adminis...
Diabetes is a growing global health concern, affecting millions and leading to severe complications ...
Deep learning (DL) models for medical image analysis are majorly bottlenecked by the lack of well-an...