Education is vital when implementing AI in healthcare, as a proper understanding of the software is needed in order to give accurate results. Without this knowledge, there would be no forms of checks and balances in order to make sure the patient is getting the quality care they need, and doctors will always be needed in order to analyze and explain the data.
Implementing Artificial Intelligence into healthcare has the amazing ability to improve treatments while massively cutting down costs for customers and saving loads of money in the US healthcare economy. In the beginning, it will be quite costly to start including more forms of AI into healthcare. However, there is a strong belief in its potential to revolutionize healthcare, as many people are willing to advocate and invest in the industry. In 2019, investors poured in $4 billion into the implementation of AI in the healthcare industry. This number is said to increase to $6.6 billion in 2021. In years after its implementation, benefits will eventually greatly outweigh the costs and reward investors. By 2026, it is estimated that $150 billion could be saved every year in the US healthcare economy if the healthcare industry uses AI applications.
Ethical and practical questions have been rising as the implementation of AI increases. Privacy on data collected, transparency, and trustworthiness are needed to apply AI successfully. Using AI must be to put the patient’s health first and should be open and applicable to all groups of people. Researchers at MIT found that a facial recognition software program did not perform correctly on darker-skinned females. This should never happen, as everyone needs to be able to receive the benefits AI offers. AI should be used to improve technology and grant people a greater sense of relief and security in regard to their health.
AI in Healthcare 