The Future of Healthcare With the Help of AI
Artificial Intelligence is developing itself minute by minute. With the help of AI, we will be able to spot diseases faster and more accurate and enabling faster diagnoses, personalized treatments, and even robotic surgeries. Explore how AI is changing the face of healthcare for the better.
AI in Diagnostics: Smarter, Faster, and More Accurate
AI plays a huge role in diagnosing patients. AI can take in large amounts of data from patients and can automatically see patterns in data from patients, and can quickly make predictions and diagnose the patient with medication or can also create personalized treatment specifically for the patient. AI can also analyze and scan pictures such as x-rays or MRI scans. When you think of data, you might think of files, graphs, etc. However, in healthcare the most important type of data is a timeline of a certain patient. This is because the field of healthcare is an overtime process. AI checks all of the visits and tests at any type of clinic or hospital. The results of these are all data that is used for AI to create predictions and diagnose patients.
Ethical Issues of AI in Healthcare
While there are infinitely many ways AI is being used in healthcare for great purposes and in safe ways, there are some downfalls of AI. One of these downfalls is that AI's information might be based on biased information. Because of this, physicians need to check the information before they apply it to the patient. Another issue with AI being used in healthcare is privacy of the patient. Data that is being shared with an AI model can be private information that the patient might not allow, and people can hack into these models and take that private information. Many doctors are also losing there jobs as AI develops. However, we need human doctors to make decisions and make educated hypotheses if no data is provided.
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How AI in Healthcare has Changed Over Time
AI was first intoruced in the 1950s, and it was a simple system that analyzed data with "if, then..." rules. The first program that had some sort of impact on healthcare was the Causal-Associational Network, or CASNET. This was the first model to be able to disease data of a specific patient, and produce information and give advice to the physician of how to manage the patient. After just a few years, an AI system focused on assisting with diagnosing bacterial infections and recommending appropriate antibiotic treatments developed from MYCIN, which is an AI system focusing specifically suggest only antibiotics for bacterial infections, to E MYCIN, which is an evolved version of MYCIN, having a broader range of flexibility and adaptability, treating more than just infectious diseases, and also introduced the if, then… algorithm. E MYCIN, a model developed by the University of Pittsburgh, evolved into INTERNIST-1, a system capable of diagnosing multiple diseases based on patient behavior. In 1986, DXplain introduced a powerful AI program that provided diagnoses and disease descriptions to physicians. In the early 2000s, Watson introduced an open-domain question-answering system using electronic medical records.