Artificial Intelligence
The EMS1 Artificial Intelligence topic features content related to the use of artificial intelligence in emergency services and the new technology’s impact on EMS providers.
Learn how emerging AI applications will impact dispatch, ePCR, education and revenue cycle management
Cedars-Sinai’s Dr. Joseph Schwab on paving the way for advanced personalized medicine
AI has huge potential to improve care and EMS; but we must remain cognizant of potential biases
The device features a 360-degree camera that uses artificial intelligence to detect people and objects within a defined range and warn drivers of a possible collision
The FDNY will be using additional data from the university to look at increasing traffic and call volume
Researchers, clinicians at UC San Diego Health used “COMPOSER” with over 100,000 digital records of sepsis patients, to calculate a lower mortality rate
Artificial intelligence is being tested to see how it can answer non-emergency calls, reducing dispatchers’ workload
A guide to enhancing workforce conditions, improving quality of care and shaping the future of the industry
Put your applicants to the test with real-world scenarios created by generative AI
Researchers said once the AI model was familiar with firefighter-specific medical data, it was able to identify 6,000 abnormal ECG samples with 97% accuracy
Real-time feedback saves lives; when a critical call comes in, fleet management technology backed by real-time data makes a difference
The artificial intelligence revolution has arrived; learn how OpenAI’s most popular innovation can add value to EMS
How technological advances influence PSAPs and ECCs and redefine the public safety ecosystem
OMI President Felix Marquez shares how VR training is helping rural Florida EMS agencies maintain critical pediatric emergency skills
CognitiveEMS, developed by University of Virginia researchers, provides prompts to support responders’ decision-making
Corti, an AI assistant, uses speech recognition software to analyze the conversation and alert dispatchers if the patient is experiencing sudden cardiac arrest
