Latest AI and machine learning research in emergency medicine for healthcare professionals.
Piperacillin/tazobactam (PTZ) extended infusion (EI) is often used empirically in the intensive car...
Artificial intelligence (AI) presents a key opportunity for radiologists to improve quality of care ...
BACKGROUND: Currently, physicians are limited in their ability to provide an accurate prognosis for ...
BACKGROUND: Identification of systolic heart failure among patients presenting to the emergency depa...
BACKGROUND: Visual and auditory signs of patient functioning have long been used for clinical diagno...
The study aims were to develop fracture prediction models by using machine learning approaches and g...
BACKGROUND: Artificial intelligence (AI) is a field involving computational simulation of human inte...
The practice of non-testing approaches in nanoparticles hazard assessment is necessary to identify a...
STUDY OBJECTIVE: Acute kidney injury occurs commonly and is a leading cause of prolonged hospitaliza...
Sepsis is the primary cause of burn-related mortality and morbidity. Traditional indicators of sepsi...
In a digitally enabled healthcare setting, we posit that an individual's current location is pivotal...
INTRODUCTION: The opioid epidemic has altered normative clinical perceptions on addressing both acut...
Predicting outcome in comatose patients after successful cardiopulmonary resuscitation is challengin...
The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical il...
BACKGROUND: Shunt-dependent hydrocephalus significantly complicates subarachnoid hemorrhage (SAH), a...
Predictions related to the impact of AI on radiology as a profession run the gamut from AI putting r...
Advances in nanomedicine, coupled with novel methods of creating advanced materials at the nanoscale...
OBJECTIVES: We investigated the usefulness of machine learning artificial intelligence (AI) in class...
BACKGROUND: The aims of this study were to determine the predictive value of decision support analys...
Monitoring patients through robotics telehealth systems is an interesting scenario where patients' c...
BACKGROUND: Though lifetime exposure to traumatic events is significant, only a minority of individu...