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Writer's pictureJulia Kieras

AI in Medicine

Wallington, New Jersey

There is a graph showing a lung tumor and pnuemonia. The image has a score of the detection of the tumor and pneumonia by doctors and AI
Above is a comparison between the detection of AI versus doctors on a chest x-ray.

New uses and innovations emerge on a regular basis in the new age of artificial intelligence, many of which are in one field, specifically medicine. Large organizations like the New England Journal of Medicine and Harvard University regularly publish new uses for artificial intelligence. These innovations range in a variety of fields, from cardiology to long-term treatments. As AI continues to evolve, it holds the promise of revolutionizing the field of health care by improving diagnostic accuracy, personalizing treatments, and optimizing long-term patient care.


One of these more widespread uses is the analysis of X-ray images using artificial intelligence. In a study of nearly 25,000 chest X-rays and echo-cardiograms, New York Presbyterian and Columbia cardiologists found that their AI model outperformed the control group cardiologists by almost 7 percent in accuracy. In the context of X-ray analysis, artificial intelligence can provide a breakthrough in


ai, medical, medicine, healthcare, xrays
AI model enables earlier detection of diabetes through chest X-rays

speed and accuracy in cardiology and the diagnosis of ailments. This advancement has the potential to revolutionize diagnostics, leading to earlier detection of structural abnormalities associated with heart failure and, in turn, improving patient outcomes in the short and long term. 


Another application is the creation of personalized treatment plans based on the patient's condition and age. AI can be a faster way than traditional medicine to take into account the variety of components that go into a patient's treatment.  Accounting for both physiological and environmental factors, AI can track a patient's diet and lifestyle. AI can take into account genetic variations that may affect the way a prescription acts on a patient. The use of AI algorithms can make each prescription individually tailored to each person, increasing the chances of a successful outcome. AI enhances the frequency of patient feedback, enabling the creation of necessary medication adjustments through continuous patient monitoring.


The creation of new and improving existing medications is one of the most time-consuming and expensive parts of the pharmaceutical process. AI can have the ability to speed up the process by using algorithms that analyze a compound's stability and solubility to produce new, more efficient formulations. In an article according to Forbes, AI's potential to enhance the development of new medications lies in its ability to identify and validate targets. AI can use data to identify targets by predicting how medicine molecules will interact with them, significantly speeding up the process. With increasing data availability and precision, this can save millions of dollars in research costs by speeding up the process by months, if not years.


AI is a new and still-improved tool that provides hope for much innovation in the medical industry. The impact of AI will continue to show itself in the years to come, saving lives by providing accurate X-ray analysis, prompting treatment, and speeding up the creation and testing of new medications.





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