Method for pre-diagnosis in emergency situations using artificial intelligence

Method of assistance in triage and pre-diagnosis during emergency situations for emergency call reception and regulation centers such as EMS, firefighters, and police, based on the retrieval and processing by “Computer Vision” artificial intelligence of emergency situation images provided by callers' smartphones or other capture means, followed by the analysis of data collected by artificial intelligence algorithm, to determine the nature and criticality of the emergency situation. Said method is characterized by the following steps:

• Image capture by web application or downloaded application;
• Rapid retrieval and processing of emergency situation images by “Computer Vision” artificial intelligence, exploiting “Deep-Learning” training on medical databases, emergency situation images, and seeking to recognize elements according to 3 key axes:
• TRAUMATOLOGY:
• it identifies the type of injury and its level of criticality, particularly recognizing hemorrhage, lacerations, bullet impacts, burns from fire, acid, or electricity, open fractures, dislocations, ulcers, hypothermia, etc.
• SITUATION AND/OR CONTEXT:
• it recognizes the nature of the emergency situation, for example:
• road accident, physical injuries, fire, landslide, earthquake, flood, etc.
• EMOTIONS:
• it quantifies the level of pain expressed by the patient via “Deep-Learning” training on “selfie” faces from medical databases, emergency situation images.
• Analysis of data by artificial intelligence, of data from “Computer Vision”, allowing to provide a pre-diagnosis of the nature and criticality of the emergency call.
• Visualization of information sent by callers, enriched with analysis by “Computer Vision” artificial intelligence, within the emergency call center allowing triage, redirection, decision support for the emergency operator, display of risks to patients and rescuers, and priority among different situations reported by callers, to improve patient care and chances of survival.