Use of artificial intelligence to support prehospital traumatic injury care: A scoping review

• Published in: Journal of the American College of Emergency Physicians Open Vol. 5; no. 5; pp. e13251 - n/a
• Main Authors: Toy, Jake, Warren, Jonathan, Wilhelm, Kelsey, Putnam, Brant, Whitfield, Denise, Gausche-Hill, Marianne, Bosson, Nichole, Donaldson, Ross, Schlesinger, Shira, Cheng, Tabitha, Goolsby, Craig
• Format: Journal Article
• Language: English
• Published: United States John Wiley & Sons, Inc 01.10.2024; John Wiley and Sons Inc; Wiley
• Subjects: Age; Artificial intelligence; Blood transfusions; Decision making; Deep learning; Emergency medical care; Emergency Medical Services; Emergency services; Geriatrics; Machine learning; Mass casualty incidents; Natural language processing; Ostomy; Pediatrics; prehospital care; Regression analysis; Review; Trauma; Trauma care; Traumatic brain injury; United States > US; emergency medical services; deep learning; natural language processing; traumatic injury; machine learning; prehospital care; artificial intelligence

Artificial intelligence (AI) has transformative potential to support prehospital clinicians, emergency physicians, and trauma surgeons in acute traumatic injury care. This scoping review examines the literature evaluating AI models using prehospital features to support early traumatic injury care. W...