Artificial Intelligence is here to stay, and its impact will be felt far beyond the boundaries of just the medical industry. AI has already had a profound impact on industries as diverse as finance, education, medicine and even pop culture. It has the power to improve our lives in so many ways — but it’s also made some pretty dumb mistakes.
Let’s take a look at how AI is already changing medicine today — and what we can expect down the road.
What is Artificial Intelligence?
Artificial intelligence (AI) is the use of computers and machine learning to perform tasks traditionally associated with human intelligence. Today, AI is used to generate and interpret massive amounts of data to make insights and decisions for businesses and individuals. However, AI can also be used to create new types of treatments and new ways of diagnosing and treating diseases.
AI in Medicine
AI is becoming more popular in medical research and has been used to help doctors improve their diagnostic process. AI has been used to help doctors understand and make diagnoses more accurately. AI has also been used to teach AI to give patients personalized, helpful medical advice based on their specific needs.
To start to understand AI in medicine, it’s helpful to understand the four stages of AI in healthcare: discovery, review, implementation, and application. Discovery: In this stage, researchers are trying to generate insight using data generated by various sources.
They’re building a general knowledge base from scratch, and they’re trying out new techniques and tools. Review: In this stage, researchers are trying to look at existing data to see if it can be improved by using AI. They’re looking for patterns and making sure decisions are informed by best practices.
Implementation: In this stage, AI is starting to be used to generate specific insights. Predictive analysis is being used to make predictions about future events and recommend actions.
Application: In this stage, AI is being used to generate predictions specific to one or a small number of real-world scenarios. Predictions made in this stage are usually rules-based and can be used to make informed decisions based on data that is relatively static.
AI in Healthcare
Artificial intelligence has been making inroads in healthcare for a while, and there are a number of use cases that are already being implemented. AI in healthcare is already being used to reduce the costs and improve the productivity of healthcare workers by improving their diagnoses.
Assisted dying laws: AI has been used to help determine whether or not assisted dying laws should be changed in certain jurisdictions. It could be used to determine if there is a change in medical opinion that would allow for assisted suicide.
Deaf community: AI could be used to help determine if Deaf culture needs to be changed in order for AI to be used effectively within the Deaf community.
Benefits of Using AI in Healthcare
All of this technology has huge benefits for patients, especially those with chronic conditions. Thanks to AI, blind people can now get up-to-date medical check-ups and receive recommended services. Psychiatric patients can now get personalized treatment plans and receive insights into their condition.
Disadvantages of Using AI in Healthcare
Even with all of the benefits that AI has to offer, healthcare stakeholders need to be mindful of the following potential obstacles: More data in, less judgment Because AI is being used to generate increasingly complex insights, healthcare organizations need to put in place processes that ensure the highest level of data security.
This means having proper procedures for creating secure datasets, ensuring data integrity, and managing access to data. Competitive landscape and regulatory environment As AI technology is still in its infancy, it’s not yet possible to predict the potential impact that it could have on healthcare.
However, given the rapid growth of AI in the last few years and the regulatory environment in which it exists, it’s fair to assume that healthcare could be an especially attractive target for AI implementation.
Conclusion
Artificial intelligence is here to stay, and its impact will be felt far beyond the boundaries of just the medical industry. AI has already had a profound impact on industries as diverse as finance, education, medicine and even pop culture. It has the power to improve our lives in so many ways — but it’s also made some pretty dumb mistakes.
Let’s take a look at how AI is already changing medicine today — and what we can expect down the road.