AIMC Topic: Emergency Medical Services

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Applications of Artificial Intelligence in Helicopter Emergency Medical Services: A Scoping Review.

Air medical journal
OBJECTIVE: Recent systematic reviews of acute care medicine applications of artificial intelligence (AI) have focused on hospital and general prehospital uses. The purpose of this scoping review was to identify and describe the literature on AI use w...

Should ChatGPT Have Some Applicability in the Management of Emergency Dental Care for Emigrant Adults and Children?

The journal of contemporary dental practice
How to cite this article: Veseli E, Tovani-Palone MR, Veseli A, . Should ChatGPT Have Some Applicability in the Management of Emergency Dental Care for Emigrant Adults and Children? J Contemp Dent Pract 2023;24(11):819-820. Keywords: Artificial intel...

Considering human cognitive architecture in stressful medical prehospital interventions might benefit care providers.

Canadian journal of surgery. Journal canadien de chirurgie
People suffering from critical injuries/illness face marked challenges before transportation to definitive care. Solutions to diagnose and intervene in the prehospital setting are required to improve outcomes. Despite advances in artificial intellige...

Generative Artificial Intelligence for Chest Radiograph Interpretation in the Emergency Department.

JAMA network open
IMPORTANCE: Multimodal generative artificial intelligence (AI) methodologies have the potential to optimize emergency department care by producing draft radiology reports from input images.

Science fiction or clinical reality: a review of the applications of artificial intelligence along the continuum of trauma care.

World journal of emergency surgery : WJES
Artificial intelligence (AI) and machine learning describe a broad range of algorithm types that can be trained based on datasets to make predictions. The increasing sophistication of AI has created new opportunities to apply these algorithms within ...

Artificial intelligence and machine learning for hemorrhagic trauma care.

Military Medical Research
Artificial intelligence (AI), a branch of machine learning (ML) has been increasingly employed in the research of trauma in various aspects. Hemorrhage is the most common cause of trauma-related death. To better elucidate the current role of AI and c...

Deep Learning-Based Emergency Care Process Reengineering of Interventional Data for Patients with Emergency Time-Series Events of Myocardial Infarction.

Journal of healthcare engineering
This paper proposes a representation learning framework HE-LSTM model for heterogeneous temporal events, which can automatically adapt to the multiscale sampling frequency of multisource heterogeneous data. The proposed model also demonstrates its su...