Covid-19 spread has posed some challenging questions to the humankind, wherein the medical science and technology together have failed to a point. Even though AI has helped in countering the Covid-19 to an extent with predicting the spread in initial stages, it could not help much in finding a cure or containing the range.
Limitations of Artificial Intelligence in Dealing with Covid-19 Crisis
5] The AI Developers Are Not Health Experts
AI is developed by developers who do not have the proficiency in medical aspects of coronavirus or diseases thus it needs a lot of SME involvement to create robust AI solutions for any disease. Since Covid-19 crisis is new and massively daunting, there is not much time at hand to involve medical experts to train AI. The technology relies on the facts and comprehension of it, mainly on the subject matter experts. Artificial Intelligence is still in a nascent stage in the world, and the knowledge of human intelligence through robots is still a long way to go.
Thus, health experts are always the best judge of matters related to covid-19. Coronavirus is a novel virus that needs loads of data and research for the conclusive studies which can foster AI. Thus, AI could not wholly predict and suggest measures to save humans from covid-19.
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4] Not Much Data About Covid-19 Virus
Reliable AI is remarkably coherent to exhaustive data collection and using the data sensibly to train the machines and the robots to decipher the information.
AI learns by patterns and repetitive behavioral actions and derives decision-making powers based on the data. During this pandemic, the recommendations and best practices suggested by the doctors kept on changing from one to another. One-time, Ibuprofen has recommended for the patients, at another use of ventilators was unclear, such fluctuations make it hard for AI to learn.
Doctors struggled to find the most appropriate remedy and treatment for the different stages and intensity of covid-19 infection. In such a debilitating situation, artificial intelligence cannot be prudently used.
3] Not Much Helpful in Drug Development Yet
AI would take a longer time to be able to contribute to drug or vaccine development for viruses like covid-19. Even though scientists across the world are trying to create a vaccine for covid-19 as soon as possible, the drug researchers feel that AI cannot help right now.
Researchers have found several protein targets that can potentially help in drug development; however, they have done it without AI. Skilled researchers do not see much AI in drug development since there is no time and benefit in using the resources on experimental things.
2] It Takes Time to Train AI
It takes a lot of time to train AI about a particular subject or pattern since there is not enough data to back the claims related to anything about covid-19 yet, AI cannot be much helpful. After considerable training, the results of the suggestions and outcomes of AI in the medical realm would only be dependable.
1] Medical Diagnosis Needs Human Intervention Still
Medical Automatic Diagnosis is intended to help patients get an initial diagnosis from artificial intelligence and then go for a physical diagnosis from the doctor if needed. A lot of medical institutions have developed systems that help the patients answer several questions and then look for probable recommendations on medicine and treatment; however, the system is still evolving.
Covid-19 is a new infection that is showing a more unique and strange system not falling in a particular known pattern, thus making medical treatment unpredictable. The doctor-patients interactions include a lot of discussions and physical diagnosis, which artificial intelligence cannot comprehend yet. It is a matter of time that AI and Robots can replace doctors; however, it is not possible now.
Thus, AI would help cure and contain the next pandemic based on the learning and data procured through Covid-19 research; however, it is still too young to save us from Covid-19 Pandemic.