With new developments in AI different industries are looking into ways to use the
budding technology to get ahead. One industry experimenting with AI is medicine. Some of the
uses so far have been reading large data sets, detecting conditions early, and predicting disease
outbreaks. AI is already being implemented into the medical field right now.
AI can read large data sets far better than humans can. One hospital makes 50 petabytes
of data annually (HealthTechMag). AI can take that data from symptoms, diagnosis, and
treatment to do research into what treatments work better for certain people than others. This is a
great development for healthcare because it allows doctors to see the massive amount of data
without having to sort through it themselves. That data analysis also allows AI to do other things.
As AI trains more on medical data it can start to tell when a patient will develop heart
disease in the future. It can do this by identifying markers we would not have been able to see if
it wasn’t for the ability to collect and understand so much information (MayoClinic). This
process is called Predictive Analysis and as AI trains on more data and gets more accurate it will
be able to predict more things. One example of this is recently Ai has been able to predict disease
outbreaks locally before they happen (science direct). This is because hospital visits get reported
to a central data system in a city where an AI can detect patterns and warn healthcare officials in
advance.
AI is being used in a lot of very productive ways in the field of medicine. AI is mostly
used to read massive amounts of data that humans couldn’t and finding patterns. This is a very
important development because a lot of answers to questions and research could be waiting in
the huge amounts of medical data produced by hospitals. Uses for this technology so far include
predicting heart disease and outbreaks, but in the future the technology could be used for so
much more.
budding technology to get ahead. One industry experimenting with AI is medicine. Some of the
uses so far have been reading large data sets, detecting conditions early, and predicting disease
outbreaks. AI is already being implemented into the medical field right now.
AI can read large data sets far better than humans can. One hospital makes 50 petabytes
of data annually (HealthTechMag). AI can take that data from symptoms, diagnosis, and
treatment to do research into what treatments work better for certain people than others. This is a
great development for healthcare because it allows doctors to see the massive amount of data
without having to sort through it themselves. That data analysis also allows AI to do other things.
As AI trains more on medical data it can start to tell when a patient will develop heart
disease in the future. It can do this by identifying markers we would not have been able to see if
it wasn’t for the ability to collect and understand so much information (MayoClinic). This
process is called Predictive Analysis and as AI trains on more data and gets more accurate it will
be able to predict more things. One example of this is recently Ai has been able to predict disease
outbreaks locally before they happen (science direct). This is because hospital visits get reported
to a central data system in a city where an AI can detect patterns and warn healthcare officials in
advance.
AI is being used in a lot of very productive ways in the field of medicine. AI is mostly
used to read massive amounts of data that humans couldn’t and finding patterns. This is a very
important development because a lot of answers to questions and research could be waiting in
the huge amounts of medical data produced by hospitals. Uses for this technology so far include
predicting heart disease and outbreaks, but in the future the technology could be used for so
much more.
