Latest AI and machine learning research in emergency medicine for healthcare professionals.
Currently, the incorrect judgment of burn depth remains common even among experienced surgeons. Contributing to this problem are change in burn appearance throughout the first week requiring periodic evaluation until a confident diagnosis can be made. To overcome these issues, we investigated the feasibility of an artificial intelligence algorithm trained with multispectral images of burn injuries...
Kawasaki disease (KD) is a leading cause of acquired heart disease in children and is characterized by the presence of a combination of five clinical signs assessed during the physical examination. Timely treatment of intravenous immunoglobin is needed to prevent coronary artery aneurysm formation, but KD is usually diagnosed when pediatric patients are evaluated by a clinician in the emergency de...
Chronic Obstructive Pulmonary Disease (COPD) exacerbation exhibits a set of overlapping symptoms with various forms of cardiovascular disease, which m...
The entry of Artificial Intelligence (AI) into Intensive Care has become a reality. We think that only with robust validation studies accomplished by ...
The European Society of Toxicologic Pathology (ESTP) initiated a survey through its Pathology 2.0 workstream in partnership with sister professional s...
Diagnosis classification in the emergency room (ER) is a complex task. We developed several natural language processing classification models, looking...
Artificial intelligence (AI) is predicted to improve health care, increase efficiency and save time and recourses, especially in the context of emerge...
We present a mechanistic machine-learning quantitative structure-activity relationship (QSAR) model to predict mammalian acute oral toxicity. We train...
PURPOSE: The incidence of orbital blowout fractures (OBFs) is gradually increasing due to traffic accidents, sports injuries, and ocular trauma. Orbit...
The incidence of ectopic choriocarcinoma with primary localization in the uterine cervix is extremely low, with less than hundred cases reported in th...
The aim of the study was to optimize the pre-hospital first aid management strategy for patients with infectious diseases in Huizhou city, which is ex...
OBJECTIVE: To investigate the clinical efficacy and advantages of Tianji orthopedic robot assisted cannulated screw internal fixation for femoral neck...
We sought to determine whether machine learning and natural language processing (NLP) applied to electronic medical records could improve performance ...
BACKGROUND: Artificial intelligence (AI) technology is a promising diagnostic adjunct in fracture detection. However, few studies describe the improve...
The progress of computational toxicology (CompTox) in drug safety research is highly anticipated. CompTox provides toxicity screening methods for drug...
This review discusses pooled experience of creation, implementation and effectiveness of machine learning technologies in CT-based diagnosis of intrac...
The interaction between sunlight and drugs can lead to phototoxicity in patients who have received such drugs. Phototoxicity assessment is a regulator...
Aortofemoral bypass surgery is still the «gold standard» for aortoiliac lesions with excellent results and long-term patency despite improvement of en...
Toxicology has undergone a transformation from an observational science to a data-rich discipline ripe for artificial intelligence (AI) integration. T...
INTRODUCTION: Various minimally invasive spine surgery (MISS) techniques have been developed with the goal of reducing approach-related soft-tissue tr...