Scientists at Stanford University have recently developed a new artificial intelligence powered imaging software designed to help doctors diagnose pneumonia with greater accuracy than ever before. Even though this technology will not take the place of human doctors, it will help them do their jobs more accurately and faster.
Artificial Intelligence is growing at a rapid pace and is moving into a number of industries. AI is beginning to do everything from reducing the number of workplace injuries to providing stronger customer service resources. AI is even utilized in Google’s search algorithm and Amazon’s Echo product. New artificial intelligence advancements are trickling down to consumers but it is also spreading to different industries, including healthcare.
AI in Healthcare
The benefits to AI in healthcare and medicine could greatly improve the field. Even the organization of patient routes to more effective treatment plans are yet an added benefit to the introduction of AI in healthcare. AI can provide physicians with every bit of medical information they need to make the best decision on a patient’s behalf.
Even though these advancements seem like positive steps to a much more efficient healthcare field, many fear that AI will replace the healthcare field altogether. This fear may not be completely irrational. A senior data scientist at Sutter Health stated, “I have no doubt that sophisticated learning and AI algorithms will find a place in healthcare over the coming years…I don’t know if it’s two years or ten — but it’s coming.”
One of the most fundamental ways AI will improve the field is through its ability to organize and translate large amounts of data. AI can collect, store, and find trends in massive amounts of data in the blink of an eye. This is already happening through Google’s Deepmind Health project. The Deepmind Health project is currently being used to mine data from medical records and to then have the ability to provide faster and stronger health services.
Diagnosing and Treatment
With AI collecting and interpreting large amounts of data via medical records, this allows for technology to determine a more certain diagnosis of diseases. Cancer patients will significantly benefit from AI due to the implementation of “cognitive health assistants” that can analyze radiology images and spot and detect problem areas faster and with much more reliability.
There is a polarizing view of the future AI will play in the field of healthcare. Some see it as a threat to human jobs while others see it as a new way to identify more accurate diagnosis and treatment of diseases. If AI is going to be implemented into healthcare, we must have ethical standards and a superior education built, in regard to artificial intelligence. The AI future will also be a slow transition so it must take effective planning to understand the changes that will come in the future.