Traumatology Diagnosis

Recognizing the most common traumas through Artificial Intelligence to support first-responders when facing large scale disasters.

Detection of major traumas includes: Open wounds, dislocations, bullet wounds, lacerations, hypothermia, ulcers, burns by fire or acid, etc.

Situation Awareness

Detects and qualifies the environment of the emergency to anticipate treatments and sort callers by priority.

Types of situations: Fire, road accident, seism, flood, riots, civil unrest, hostile environment, etc.

Context and Emotions

The AI helps first responders recognize body positions (eg lying on the floor, tense, etc.) and the emotional impact (fear, anxiety, pain) on the caller and the patient. This module improves the accuracy of the diagnosis and identifies factors that may affect the caller’s assessment abilities.

Automatic Transcription

Dedicated to the language used during the emergency, the transcript allows the content of the conversation to be recorded to ensure that all medical information is taken into account, and to confirm whether the call is for him or for a third party. This module sets the stage for the future automated translation functionality.