Artificial Intelligence, or AI, has become increasingly popular in recent years. Although many people associate using AI with social media or for schoolwork, they may not know that AI is now being used as a tool in the field of medicine. From recording notes from patient interactions to improving diagnoses, AI is taking the healthcare world by storm. It continues to evolve how doctors will care for their patients in the future, guaranteeing more effective techniques.
One main way that AI is currently being used in medicine is updating patient records and taking clinical notes by summarizing interactions between patients and their doctors. This allows healthcare workers to focus their time on other important tasks, and help patients in more severe need. Further, patients are able to be processed into the hospital faster, getting the care and treatments that they need as soon as possible. In the future, this will likely evolve to be a fully automated system, allowing healthcare professionals to turn their full attention to the care of their patients without worrying about ancillary tasks, such as note taking.
Another important role that AI plays in healthcare systems and one that will continue to change medicine in the future is assisting with diagnoses. Already, AI is able to carefully analyze medical scans and catch what humans might’ve missed. It is able to diagnose with more accuracy and efficiency without human error playing a role. AI can even detect diseases before they manifest more seriously and are harder to treat, such as Alzheimer’s, certain types of cancers, kidney disease, and more. With its ability to recognize patterns and analyze large datasets, this ultimately supports more complex cases and improves patient outcomes.
Additionally, AI has the ability to run complex simulations, make models, and design new molecules. This makes AI very important for creating and testing new treatments in a shorter time period and with more accuracy. As time goes on, AI is likely to improve in this area, and scientists will learn how to better integrate AI into their research. This makes a far more efficient pathway for developing new treatments and innovations. AI is helping to accelerate the transition to more practical research methods.
Many hospitals across the U.S. are already starting to incorporate AI software in their diagnosis and treatment processes, but this is just the start. AI is still in the process of being developed into a more dominant resource, and people are still learning how to work with and incorporate it into different fields. One can only imagine the extent of impact that AI will have on healthcare even just 5 years from now. Things such as increased diagnostic accuracy, automation of clinical records, and rapid development of new treatments can be improved to lead the world of healthcare into a great and evolving journey ahead.