How AI is changing healthcare

AI in Healthcare
AI in Healthcare

AI is the next big wave which will change we know the world for generations to come.  AI has attracted over $17 billion in investments since 2009  and will add over 15 trillion to world economy by 2030  as per estimates.

The term AI was coined in 1956 and even thought of by ancient philosophers, but Some of the early work in this space was done at Stanford University for treating blood infections. Till about early 2000’s most of the work in AI was limited to universities like MIT, Stanford, Rutgers etc.


One of the domains which stands to benefit the most from AI is healthcare. The healthcare industry is advancing in discoveries daily as technology advances in major ways. We have done amazing things in the last few years and currently Artificial Intelligence has been dominating as the main point of interest. AI is being harnessed to increase longevity and health of the human race.

As an example we all know one problem with hospitals is wait times. As a hospital, doctors need to make every second count. With help of AI hospitals can assign beds to patients faster and more effectively. While this may seem like a useless task it prevents having employees do this job, and little by little, it saves a lot of time. In the John Hopkins Hospital, this has been able to see and predict future requests for beds, and even plan for future unavailabilities. As per the recent article in HBR, It decreased wait times, and even allowed them to accept over 50% more new patients from other hospitals. AI can also do the paperwork that takes doctors a significant amount of time, giving them more time to engage with their patients. Every second that AI saves is another second for doctors to save a life.

Besides preparation, AI directly uses Brain Computer Interfaces. This can be used to decode neural activity. Potentially it could be used to help the many people with ALS and strokes, as well as the half a million people yearly that have spinal cord injuries. Neurological problems have been extremely difficult, if not impossible to solve. AI is helping in ways unimaginable 10 years ago. When AI is allowed to look at all the data from patients, it can notice patterns and analyze them in ways that would be humanly unachievable. AI will make sense of data allowing them to predict things that will happen to specific patients with incredible accuracy. AI could take all of the unstructured data and classify them, and this is especially useful as we are expected to double medical data every 73 days from 2020, according to IBM.

Even selfies can be used to find diseases. An algorithm can find the subjects facial features, and predict facial feature abnormalities. Just in a few pictures the AI can analyze things that we would need expensive equipment and preparation to find out. AI with expensive tools such as x-rays and MRI scans, can find out all problems instantaneously. AI is highly useful in predicting patterns. This can be used to predict problems and also patient recovery time. With the right data sets, AI will be able to foresee diseases like seizures and sepsis.

At SequoiaAT we have started taking small steps towards AI in medicine by collaborating with companies in life-sciences and medical domains. We have been working with them on solutions which further this goal.

AI will do everything that humans can do in a fraction of the time, in all helping and curing more people. AI will save unbelievable amounts of money, and even more time, making every second count.