Latest AI and machine learning research in emergency medicine for healthcare professionals.
In Tg-rasH2 carcinogenicity mouse models, a positive control group is treated with a carcinogen such...
BACKGROUD: Hip fracture surgery is associated with blood loss, which may lead to adverse patient out...
Persons who inject drugs (PWID) are at increased risk for overdose death (ODD), infections with HIV,...
This pilot study explores the possibility of predicting post-concussion symptom recovery at one week...
BACKGROUND: Conventional diagnosis of COVID-19 with reverse transcription polymerase chain reaction ...
BACKGROUND: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Sy...
One of the challenges with urgent evaluation of patients with acute respiratory distress syndrome (A...
The number of critically ill patients has increased globally along with the rise in emergency visits...
IMPORTANCE: The survival benefit of corticosteroids in septic shock remains uncertain.
AI virtual assistants have significant potential to alleviate the pressure on overly burdened health...
In preclinical toxicology studies, a "stage-aware" histopathological evaluation of testes is recogni...
AIMS: Coagulation abnormality is one of the primary concerns for patients with spontaneous intracere...
BACKGROUND: In recent years, both suicide and overdose rates have been increasing. Many individuals ...
Artificial intelligence technology is a rapidly expanding field with many applications in acute stro...
BACKGROUND: Hospital-based studies have reported variable associations between outcome after spontan...
Despite the salient benefits of the intravenous tissue plasminogen activator (tPA), symptomatic intr...
Background There are characteristic findings of coronavirus disease 2019 (COVID-19) on chest images....
PURPOSE: The triage and initial care of injured patients and a subsequent right level of care is par...
The recent medical applications of deep-learning (DL) algorithms have demonstrated their clinical ef...
INTRODUCTION: Given the drawbacks of a femoral intertrochanteric fracture classification based on 2-...
PURPOSE: To determine how to optimize the delivery of machine learning techniques in a clinical sett...