The development of artificial intelligence is obvious. Although we can see it, AI is actually changing our life directly or indirectly, its application is starting with such as Siri, Google Assistance, and Alexa, in supply chain, retail, manufacturing, enterprise mobility, autonomous cars Extensively App In , even more.
In spite of its progress in other industries and areas, AI has really made a difference in health care and has influenced thousands of people and made their lives better.
Many potential (and present) cases are used for artificial intelligence in health care.
Today, many technology vendors, such as mobile app development companies, have started using the power of AI by building profound effects on health benefits.
Using platforms of popular tech giants such as Google, Microsoft, Apple, IBM, Amazon etc., these companies have successfully deployed many applications which are helping the medical institutions across the globe.
Matters of popular use of artificial intelligence in health care
1. Virtual Assistance in Health Care
A large amount of health app is available at the App Store and Play Store. According to Statista, by the end of 2019, total smartphone users will reach more than $ 2.7 billion worldwide.
And, all of them will have any of the voice helpers mentioned above. The combination of these voice assistants and healthcare apps can help customers deliver drug alerts, educational content and more.
This level of personal help can help people to live a healthy life without a human carer.
2-Research and advanced analytics
Most of today, have been dependent on health care machines. Regardless of whether it is a routine check or important operation, machines have become a way for doctors to help their patients to lead a healthy life.
For most of the time, machines and equipment work fine, but even they require maintenance and repairs.
AI can help the technicians to find fault beforehand so that machines do not fail during emergency.
Apart from this, AI can also help the surgeon to perform surgery by providing information about the patient’s body organs, which requires surgery.
It also helps doctors make highly personalized treatments for their patients. For example, IBM Watson’s ability to present proof-based treatment options for structured patient data and cancer patients, as well as unstructured procedures in AI.
3- Life Coaching for Personal Health
Follow-up is an essential part of health care, especially if a patient is suffering from chronic disease.
In most hospitals and clinics, doctors provide regular follow-up or life coaching as part of their treatment.
However, such services can be extremely expensive, and not every patient can afford it. But, unique wearable technology and an AI-enabled mobile app can help solve the problem.
It will capture the data coming from the wearable device and suggest necessary medicines, exercises, activities and even habits that will help them lead a healthy life.
4- Healthcare Bots
It is clear that Chatbot is going to completely change phone call-based customer service very soon.
Compared to traditional counseling sessions with health care service providers, Chatboot patients in health services can help resolve their concerns.
Bots can help a patient schedule immediately follow up. In addition, Bot patients can also help pay their hospital bills in just a few clicks.
To conclude, Bot can help health care providers to improve 24/7 customer service and help faster patients by processing every service request.
5-Diagnosis of Aid and Medical Imaging
Medical imaging has brought revolutionary changes in providing health care by providing a better picture of various discrepancies.
But sometimes, the anomalies are so small in size that a human eye is unable to detect it.
Due to not being able to detect such abnormalities, the patient can die. AI helps detect such anomalies that humans can not detect the eye.
We have seen health care professionals browsing through various documents all the time so that they do not miss any details while diagnosing patients.
Due to missing a single description, the doctor may have to give life.
Natural language processing (NLP) can help doctors filter out information relevant to long reports.
NLP not only allows doctors to filter relevant information, but also helps them to make that information so that it is easy for the consumer to get information about it.
Pharmaceutical business today is a billion-dollar business. Expensive medicines are often the result of harsh research and development.
AI can help reduce the costs of research and development by reducing the cost of the drug. In 2014, Atomise launched an AI-powered program, which was used to find alternative medicines for Ebola virus.
In this program, medicines were found which had the ability to reduce the effect of Ebola within one day.
This reduced the R & D work months, which saved the efforts of medical institutions to provide medicines to the time, money and the needy.
Hospitals and clinics keep a lot of confidential information. This information requires protection from cyber attacks.
Even the smallest data leak can cause significant damage to both patients as well as health service centers / professionals.
It is not possible for hospitals to detect the potential danger for their systems for cyber security teams.
This amount has increased compared to the previous financial year. AI can help stop these fraudulent activities by learning from past events.
Machine learning algorithms continually detect fraudulent claims and as soon as they detect one, sends an alert to the concerned person.
10-Healthcare System Analysis
Many people got drowned in debt due to being admitted to the unnecessary hospital. However, new AI-based systems can help patients identify workflow disabilities and mistakes in the treatment.
According to Frost and Sullivan, the AI market has been predicted to reach $ 6.6 billion by 2021 in healthcare.
In comparison to other markets, technology has made little progress in the industry – however, in the coming years, when using the mobile app, the cost-cutting technique will be reduced, there will be a revolution; With clinical support to maintain safety and integrity.