Artificial Intelligence has reached a whole new level of mainstream notoriety. While it used to be more of a fantasy based on a fictionalized SciFi future, it has now shown to have practical, real-life uses in a variety of industries. Nowhere is this more evident than the field of healthcare.
There are a number of ways that AI has benefitted the healthcare industry. One example is the early detection of diseases, such as cancer. Biopsies can be checked and MRI scans can be analyzed at a much faster and more accurate rate than with humans alone. Image-based test results are found to have a more accurate diagnosis when looked at through the eye of artificial intelligence. DeepMind is a problem-solving team consisting of scientists, engineers, and machine learning experts who incorporate the use of AI into a number of fields, including healthcare. A recent joint project with Moorfields Eye Hospital has produced the ability to detect over 50 eye diseases.
After a diagnosis, the next course of action is treatment. Things that must be taken into account include a patient’s history, hereditary factors, lifestyle, previous treatments, as well as other data. AI is great at consolidating data and analyzing it. Predictive algorithms can then be formed from patterns found in the data analysis, leading to the best possible recommended treatment.
When it comes to surgical precision, we have also come a long way with the world of robots and AI. Not only by assisting surgeries, but also performing them as well. There is evidence of robots passing medical licensing exams and performing such precise surgeries, no human doctor could compete. When doctors and robots work together, it’s essentially arming an already talented surgeon with the tools to elevate them to robosurgeon status.
Clinical trials and trial-and-error drug discovery programs have always been used to determine cures or treatments for those suffering from incurable illnesses. By using a data-driven approach that examines existing patients, medicines, and pathogens, and then forms intelligent simulations of possible cures. By using this method, researches have also been able to treat new diseases using existing treatments meant for other conditions.
For people who wish to monitor their health, the Internet of Things has a subcategory called the Internet of Medical Things. These wearable devices keep track of multiple analytics including sleep patterns, caloric expenditure, and resting pulse rates.