Latest AI and machine learning research in surgery for healthcare professionals.
BACKGROUND AND OBJECTIVES: Severe traumatic brain injury (TBI) in children is associated with poor outcomes, but evidence surrounding the role of operative cranial surgery in this patient population is limited. Thus, we sought to evaluate associations between cranial surgery and hospital discharge outcomes among pediatric patients with severe TBI and to identify patient subgroups most likely to be...
BACKGROUND: Early prediction of lymph node metastasis (LNM) after neoadjuvant chemoradiotherapy (nCRT) is crucial for improving treatment planning and prognosis in rectal cancer (RC) patients. This study aims to develop an MRI-based AI framework integrating clinical, radiomics, and autoencoder features to predict LNM and prognosis post-nCRT. METHODS: This study included 577 RC patients who underwe...
We aimed to build a fuzzy logic preanaesthetic risk score tailored to cataract surgery. By fusing systemic comorbidities with key patient attributes i...
OBJECTIVE: To assess whether a semi-automated deep learning (DL) detector that quantifies poorly differentiated nests on hematoxylin-eosin (HE) sectio...
The Aurora kinase (AURK) family enzymes are almost identical to the serine or threonine kinase (STK), and they are essential for various cell function...
In the originally published article entitled "A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis", published in "Curr...
BACKGROUND: To support surgical education, there has been an increasing focus on integrating surgical data, including surgical motion, activity and pr...
BACKGROUND: Surgical planning for adolescent idiopathic scoliosis (AIS) is complex. Large language models (LLMs) like DeepSeek Reasoning Model R1 (Dee...
This commentary examines surgical leadership in the era of artificial intelligence and robotic surgery, emphasizing the continued primacy of human jud...
INTRODUCTION: High bleeding risk (HBR) affects over one-third of patients undergoing percutaneous coronary intervention (PCI) and is associated with e...
Bioprinting, first proposed in the 1980s for ex vivo tissue fabrication, has evolved into a cornerstone of regenerative medicine. Conventional approac...
Non-surgical cosmetic procedures have experienced significant growth, driven by advancements in technology and changing consumer demographics. The glo...
PURPOSE: To characterize the evolution of the Self-Image (SI) domain of the Scoliosis Research Society-22 item questionnaire (SRS-22) in adult spinal ...
OBJECTIVES: To review the application of prediction models and risk factors identified by prediction models for invasive fungal infection (IFI) in chi...
Ultrasonic thickness inspection of ship bulkheads poses significant challenges due to confined spaces, dynamic obstacles, and highly variable environm...
Ambulatory extended recovery facilities, designed for 1-night stays, provide an alternative care setting for more complex patients and procedures than...
Identifying brain hemorrhages from magnetic resonance imaging (MRI) is a critical task for healthcare professionals. The diverse nature of MRI acquisi...
Although immunotherapy has revolutionized cancer treatment, many patients still experience limited benefit, highlighting the urgent need for improved ...
BACKGROUND: After resection surgery, recurrence occurs in more than 30% of colorectal cancer (CRC) patients. Previous studies have highlighted the rol...
Despite extensive research, traumatic brain injury (TBI) imposes significant mortality and morbidity burden globally. This narrative review provides a...