Latest AI and machine learning research in emergency medicine for healthcare professionals.
OBJECTIVES: The effect of three-dimensional (3D) printed bone-attached guide plate assisted cannulat...
<b><br>Introduction:</b> Artificial intelligence (AI) is an emerging technology wi...
OBJECTIVE: To review the application and research progress of artificial intelligence (AI) technolog...
INTRODUCTION: Between 5% and 20% of all combat-related casualties are attributed to burn wounds. A d...
Background Breast screening enables early detection of cancers; however, most women have normal mamm...
Gallic acid, acting as an antioxidant, anti-precipitant and cytoprotective agent, was used as a poss...
IMPORTANCE: The use of artificial intelligence (AI) in clinical medicine risks perpetuating existing...
Background Artificial intelligence (AI) algorithms have shown high accuracy for detection of pulmona...
Background Most artificial intelligence algorithms that interpret chest radiographs are restricted t...
Currently, the incorrect judgment of burn depth remains common even among experienced surgeons. Cont...
Chronic Obstructive Pulmonary Disease (COPD) exacerbation exhibits a set of overlapping symptoms wit...
The entry of Artificial Intelligence (AI) into Intensive Care has become a reality. We think that on...
The European Society of Toxicologic Pathology (ESTP) initiated a survey through its Pathology 2.0 wo...
Diagnosis classification in the emergency room (ER) is a complex task. We developed several natural ...
Artificial intelligence (AI) is predicted to improve health care, increase efficiency and save time ...
We present a mechanistic machine-learning quantitative structure-activity relationship (QSAR) model ...
PURPOSE: The incidence of orbital blowout fractures (OBFs) is gradually increasing due to traffic ac...
The aim of the study was to optimize the pre-hospital first aid management strategy for patients wit...
OBJECTIVE: To investigate the clinical efficacy and advantages of Tianji orthopedic robot assisted c...
We sought to determine whether machine learning and natural language processing (NLP) applied to ele...
The progress of computational toxicology (CompTox) in drug safety research is highly anticipated. Co...