Machine Learning in Healthcare
Machine Learning in Healthcare
Artificial Intelligence (AI) is taking the world by storm in almost every industry. Employees are finding more ease in their jobs as AI offloads a lot of tedious and administrative work that consumed their days. In the healthcare field, it is no different. Healthcare is always using new and emerging technology to benefit those sick and in need. Machine Learning, a form of AI, is being used to help doctors and nurses provide more comprehensive healthcare to their patients. The benefits range from diagnosis and treatment to time and cost savings for all involved, among many!
What is Machine Learning?
There has been an influx of Machine Learning in AI dominating both work and personal spheres of people’s lives. It powers the AIs behind Snapchat’s AI or ChatGPT. According to Sara Brown at MIT Sloan, Machine Learning is the subset of AI that “gives computers the ability to learn without explicitly being programmed.” This is to say that AI is given the capabilities to solve problems much like a human would approach it. In programs like ChatGPT, where dialogue between the user and the AI allows it to answer questions and subsequent follow-up questions and admit mistakes. The AI is able to do this with Machine Learning capabilities. Machine Learning allows AI to learn to program itself through experience rather than having a human program every response or action, as Brown describes.
Machine Learning in Healthcare
With Artificial Intelligence able to learn through experience and program responses itself, Machine Learning can revolutionize healthcare.
Faster Data Collection
Nowadays, many people are ditching their analog watches for smart watches that connect to their smart phones. These smart watches are collecting health data – like pulse, sleep and awake periods, and temperature, among many other features. Healthcare professionals can use this data to track patterns and come up with diagnosis and treatments.
Improving Diagnosis
As mentioned previously, smart devices can help track health patterns and changes. However, not only that, but devices with Machine Learning can use their pattern recognition to detect diseases and health abnormalities. This kind of process is even pushing the U.S. Food and Drug Administration (FDA) to integrate Machine Learning AIs into wearable devices. As stated on their website, “Medical device manufacturers are using these technologies to innovate their products to better assist health care providers and improve patient care.”
Cost Savings
Machine Learning would not only save costs by saving time in patient appointments – through the aforementioned data collection – but through automated processes. Machine Learning can better administrative services in the healthcare field. This can include managing patient records and data, appointment scheduling, and even automate procedures. This leaves doctors, nurses, medical assistants, and more to focus on more urgent matters.
Drug Discovery
Machine Learning can also help in the creation of drugs. Machine Learning can analyze large amounts of biological and chemical data. The AI could assist in identifying potential efficacy of a drug in patient treatment, identify adverse drug reactions based on patient profiles, and even identify potential drug targets for specific diseases in patients.
The University of Fairfax and Machine Learning
With the University of Fairfax’s graduate and terminal degree programs, you could join the leading companies revolutionizing healthcare with AI. With either our Master’s or Doctorate programs in Computer Science and Engineering, you can enhance your knowledge of programming, algorithms, data analysis and structures, and mathematics. Perform in-depth research with our career professional professors to give you the experience you need to become a leader in AI technologies. To learn more about our programs, go to https://ufairfax.edu/academic-programs/computer-sciences/.
The University of Fairfax – Secure Your Future
