Latest AI and machine learning research in emergency medicine for healthcare professionals.
OBJECTIVE: To use machine learning-based methods in designing a predictive model of rehabilitation o...
Over the past decade rapid advancements in molecular imaging (MI) and artificial intelligence (AI) h...
BACKGROUND: To introduce the Hemorrhage Intensive Severity and Survivability (HISS) score, based on ...
BACKGROUND: Burn injuries are one of the most severe forms of wounds and trauma across the globe. Au...
BACKGROUND: Traditional fracture reduction surgery cannot ensure the accuracy of the reduction while...
BACKGROUND: A big-data-driven and artificial intelligence (AI) with machine learning (ML) approach h...
Local trauma care and regional trauma systems are data-rich environments that are amenable to machin...
Invasive candidiasis is a major challenge to clinical medicine today. However, traditional fungal di...
The triage of acute stroke patients is increasingly dependent on four-dimensional CTA (4D-CTA) imagi...
PURPOSE: Patients undergoing outpatient radiotherapy (RT) or chemoradiation (CRT) frequently require...
The benefits of automatic identification technologies in healthcare have been largely recognized. Ne...
STUDY OBJECTIVE: Topic identification can facilitate knowledge curation, discover thematic relations...
Quantitative assessment of proliferation can be an important endpoint in toxicologic pathology. Trad...
Emergency response to hazardous gases in the environment is an important research field in environme...
We encountered a 55-year-old Japanese man with advanced renal cell carcinoma and slowly progressive ...
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has globally strained medical resour...
A 23-year-old man was admitted for acute pericarditis that evolved to cardiac tamponade and shock wi...
Among patients with Coronavirus disease (COVID-19), the ability to identify patients at risk for det...
BACKGROUND: Maternal serum alpha-fetoprotein (MSAFP) concentration typically increases during pregna...
OBJECTIVE: Emergency department (ED) return visits within 72 h may be a sign of poor quality of care...
Background and purpose - Deep-learning approaches based on convolutional neural networks (CNNs) are ...