The potential role for artificial intelligence (AI) in medicine is enormously expanding, Meg Tirrell of CNBC reports. Currently, we utilize “Machine Learning” and “Deep Learning,” which are the subsets of the AI that uses data to identify a pattern and generate a profoundly accurate prediction and insights about what is about to happen!
With the popularity of “Internet of Things (the interconnection through the Internet of computing components installed in everyday objects, allowing them to send and receive data),” we use wearable to monitor our body movements in daily life. Data collected by the gadgets, genetic sequencing, along with the data provided by the hospitals form the repository for the Artificial Intelligence. Consequently, to proffer meaning to the data collected, we create the learning algorithm.
One of the stellar examples of the use of Machine Learning is the online marketing websites that predict what a consumer intends to purchase in the next few minutes. Similarly, very soon Artificial Intelligence will be able to predict what disease a person can get.
Dr. Eric Topol associated with Scripps Research Institute claims that the Artificial Intelligence has the potential to become the most significant types of technology we have ever possessed in the field of the medicine.
By patient monitoring we can predict hours in advance whether a patient will get a heart attack
AI is, indeed, is the hot topic for the tech giants such as Google, IBM, and Philips. Recently Google launched ‘Google AI,’ an online learning platform for Machine Learning; and IBM has created ‘Watson’ which is an Artificial Intelligence platform for business. “In many of the fields we are in, we are using AI already. By patient monitoring we can predict hours in advance whether a patient will get a heart attack”, said Frans van Houten, CEO of Philips.
With an escalated rise in the startups, researchers are training the learning algorithm to, ultimately, analyze information from sensors and images. The technology which they used is called deep learning, a particular technique in Machine Learning.
Aditya Khosla, CTO of PathAI, gives the example of practical use of the artificial intelligence (AI), “We give an image and tell that this sets of pixels represent cancer while the other set of pixels are not cancer. So, can you learn how to distinguish between these two automatically”? Without human input and with the repository of the data, Deep Learning can train its Artificial Neural Network to predicts and see probabilities which we are not capable of.
Lately, Mt. Sinai associate professor, Dr. Joel Dudley, has also developed a system namely Deep Patient that mines millions of data from the hospital database to combine and compile in various complicated ways, to show their hidden similarities, contrasts, connections, association, and relationship.
To validate the anticipated role of AI, and its importance in human life, a survey from Massachusetts Institute of Technology shows that many people already expect a computer to analyze medical images; and that, Artificial Intelligence is going to be the next big revolution in the technology.