Latest AI and machine learning research in surgery for healthcare professionals.
Purpose To apply conformal prediction to a deep learning (DL) model for intracranial hemorrhage (ICH...
OBJECTIVE: Early detection of surgical complications allows for timely therapy and proactive risk mi...
Artificial intelligence (AI) is a colossal buzzword, a confusing subject matter, but also an inevita...
Artificial intelligence (AI) experience among nurses in perioperative settings is crucial for effect...
Uncertainty quantification is necessary for developers, physicians, and regulatory agencies to bui...
Recent advancements in Multimodal Large Language Models (MLLMs) have shown remarkable capabilities...
Accurate tumor detection in digital pathology whole-slide images (WSIs) is crucial for cancer diag...
Recent advancements in AI and medical imaging offer transformative potential in emergency head CT ...
The lack of labeled datasets in 3D vision for surgical scenes inhibits the development of robust 3...
Transparent objects are prevalent in everyday environments, but their distinct physical properties...
Existing tracheal tumor resection methods often lack the precision required for effective airway c...
Introduction: Computer vision (CV) has had a transformative impact in biomedical fields such as ra...
Purpose: Comprehensive legal medicine documentation includes both an internal but also an external...
Nasopharyngeal carcinoma (NPC) patients often undergo radiotherapy and chemotherapy, which can lea...
Background: Mutations in KMT2B are a recognized cause of early-onset complex dystonia, with deep b...
Objective motor skill assessment plays a critical role in fields such as surgery, where proficienc...
Predicting medical events in advance within critical care settings is paramount for patient outcom...
In the era of Large Language Models (LLMs), embodied artificial intelligence presents transformati...
How should one jointly design tests and the arrangement of agencies to administer these tests (tes...
The multi-modality imaging system offers optimal fused images for safe and precise interventions i...
Recent advancements in machine learning (ML) and deep learning (DL), particularly through the intr...