By Sumaiya
Artificial intelligence is being used to quickly respond and prevent emergencies at home.
There are numerous opportunities for the healthcare industry in India to expand and assist numerous individuals. From automating laborious tasks and routine errands in the medical practice to managing patients and medical resources, artificial intelligence is rapidly entering the health care industry and performing important functions.
Healthcare professionals are able to provide better feedback, direction, and support for maintaining health as a result of their improved understanding of the day-to-day patterns and requirements of the people they care for thanks to the development of artificial intelligence. Around 100,000 hospitalized patients die and 400,000 suffer preventable harm each year. Because of this, one of the most exciting applications of Artificial intelligence in healthcare is the promise of improving the diagnostic process. Integrating Artificial intelligence algorithms into healthcare information systems can be beneficial because of their potential to improve patient outcomes, particularly in busy departments like the emergency department.
The development of artificial intelligence and machine learning has reached a point where they are extremely adept at prediction-making as well as identification and classification tasks. These applications of Artificial intelligence can also be used to quickly respond to emergencies or prevent emergencies at home.
The five ways that artificial intelligence can assist in emergency situations are as follows:
- Artificial intelligence to prevent emergencies at home: In the event of an emergency, creating a critical response team to assist those in need is the first step. It is essential to conduct an investigation into the extent of the damage and to make certain that the appropriate assistance reaches the individuals most in need first before the team enters action. Because they can analyze and observe satellite images, artificial intelligence techniques like image recognition and classification can be very helpful in assessing the damage. They can filter these images immediately and effectively, whereas manual sorting would have taken months. From these images, artificial intelligence can identify features and objects like damaged buildings, flooding, and blocked roads. They are also able to identify temporary housing, which could indicate that a person is homeless and be the focus of initial care.
- Next-Generation 911 is the first line of communication in an emergency. On a typical day, there are already too many calls for 911 dispatch centers. The number quadruples or even more in the event of a catastrophe or disaster. As a result, newer technologies must be added to existing 911 emergency centers for improved management. Only voice-based calls are accepted by traditional 911 centers. In order to handle a wider range of data, next-generation dispatch services are incorporating machine learning into their emergency dispatch technology. As a result, they can now take in data from text, video, audio, and pictures in addition to calls, analyze it, and make quick decisions. The emergency response teams in the field can use the insights gleaned from all of this information to effectively complete crucial tasks.
- Social media sentiment analysis for emergency preparedness and recovery Social media are a major news source today. Social media users provide some of the most useful information during disasters. Artificial intelligence can analyze and validate real-time Facebook, Twitter, Instagram, and YouTube comments to distinguish true from false information. On-the-ground aid workers may be able to more quickly reach the point of crisis and focus their efforts on the most in need with the assistance of these vital statistics. Using this information, rescue workers may also be able to speed up the process of finding victims. Predictive analytics and artificial intelligence software can also examine YouTube, Facebook, and Twitter’s digital content to provide early warnings, ground-level location data, and real-time report verification. In point of fact, artificial intelligence could also be used to compare pictures and videos posted to social media with unstructured data and background information in order to locate missing individuals.
- When there is an emergency, distress and help calls are answered by artificial intelligence. In any case, emergency relief services receive a lot of distress and help calls. When done manually, managing such a large number of calls takes a lot of time and money. There is also the possibility of crucial information being overlooked or lost. Artificial intelligence can serve as a 24-hour dispatcher in situations like these. Voice assistants and artificial intelligence systems are capable of analyzing huge volumes of calls, identifying the kind of incident that occurred, and verifying the location. They are able to instantly transcribe and translate languages, process calls, and interact naturally with callers. Artificial intelligence systems can determine the urgency of a caller’s tone of voice by filtering out unnecessary or less urgent calls and giving them priority based on the urgency of the situation.
By analyzing real-time behavior and movement of people, predictive machine learning models can also assist officials in distributing supplies to where people are going rather than where they were.
Predictive analytics are now possible with almost no upfront infrastructure investment thanks to recent advancements in cloud technologies and numerous open source tools. Therefore, agencies with limited resources can also develop more advanced disaster analysis models and data science-based systems.
Conclusion
Government agencies and non-governmental organizations can begin utilizing machine learning to prevent emergencies at home due to the numerous advantages of Artificial intelligence. We might see a fleet of drone services with sophisticated machine learning as Artificial intelligence and related fields like robotics develop and grow. Using video-capture capabilities, these advanced drones could speed up access to real-time information at disaster sites and deliver lightweight physical goods to hard-to-reach locations.
