May 31

Blog Post #4-Capstone Interview

I really loved my interview with Pooja Kumar. Pooja is an investor for clients in Healthcare, and she knows a lot in the industry of AI in Healthcare. She was very helpful with centering where I should drive my research, and giving more detailed examples of how AI is improving Healthcare, and how that can improve, and how we can centralize AI in Healthcare with humanity. Here are some examples of what Pooja thought about how AI is revolutionizing Healthcare, and where and how we should adapt to improve the technology for the future:


  • AI is starting to revolutionize healthcare, it hasn’t revolutionized Healthcare yet. AI will most likely develop statistically over the next couple decades. The context is that she works with doctors and investments for Healthcare, some are AI, so in the field of statistics is where she is an expert on.
    • Examples of ways that AI will advance and revolutionize healthcare in the future:
      • Hospital Systems, doctor advancements and analysis, and Institutions of AI research is where AI in Healthcare statistically is predicted to evolve.
      • Can technology replace the less clinical tasks that people can do
      • Technicians are wondering if AI can read radiology waves, and transfer them and analyze them to create an algorithm or a suggestion using core ML and Deep Learning platforms.
  • Generally in 10 or 20 years, AI will be at a level that is incomparable to humans
  • AI hasn’t had a major impact on patients, it is more at the level of watching over things that are in place
  • Natural Language processing is good to pull information like clinical notes for AI Finance in Healthcare. Generally the Finance, numbers, and Natural Language processing are the main components and more advanced aspects of AI as of now, in Healthcare.
  • Diagnostics of AI:
    • AI in Diagnostics is going to speed up in the next few years, because their is more and more data that is going to become a major input into AI platforms and they can learn, we can learn, and look for platforms like Processing of Language and Analytics of Medicine, etc., that will allow us to see, and teach these platforms to perform tasks that humans do. X-Rays are a good example of diagnostics.Here was the first historical breakthrough: 20 to 30 years ago, stays were on films,with bad memory drives, and you had to get them processed and printed out to view them. The pixels were also very bad quality, which gives the painter it a negative start to their diagnostics. And comparing it to now and our time, we have advanced technologies that perform these amazing tasks,and AI will get up to that even, and center all of the other 3rd party hardware and software establishments that we use currently to gather the information, but the problem is that they are all on separate platforms. If these components were part of one of the main platforms of AI, we can futuristically have a great way of diagnostic get problems to AI in Healthcare towards the future.
    • Neural Networks drive the diagnosing, and will improve in the future and be able to process more RAM (Random Access Memory) data in the future as our technologies improve.
  • How will AI have an impact on patients in the future?
  • Sun Microsystems AI predicted is going to replace most doctors in the that is the way that the future is going to continue in their future, but Pooja doesn’t think that tat will happen. Machines she thinks should be a companion to humans in the future, and we should collaborate our minds and not act like it is slavery. This should be a beneficial aspect of AI collaborating with humans.


I found all of these examples very interesting and informative, and I was able to better base my research. Here are some ideas that I got from Pooja about where to futuristically conduct my research:

  • Hardware technology powering Neural Networks
  • How we can make Hardware smaller and more effective
  • Platforms for AI pros and cons
  • Natural Language processing Neural Networks and how they contribute to AI in Healthcare


Over all this interview had me realize the importance of us wrong with these technologies because of the massive amount of data that these machines can discover out of the ordinary thing that we can’t.

May 30

Blog post 3-Site Visit (Capstone)

Generally speaking, I really loved my capstone site visit. It really was a great experience and it inspired me to be a part of AI development in the future. I met two people that were named Matt Calgary Kathy McGrody both very inspirational, and showed me how AI can contribute and make Healthcare data more accurate, and better. Humans have been working with this technology for years, and having a kid like me visit IBM, and see Watson and AI software, well, that is pretty big.

    I had a great time their. Unfortunately there was no photo of video content recorded, because I was not allowed to. I will break up the next two paragraphs into each person that I met, and what I learned from each of them.

First, i met someone named Kathy McGrody. I learned about the basic Architecture, and how the place that i am visiting is so special to IBM, and their success. What she said is that the Architect that designed the building, his name was Wallace Eckert. He was modern by the means of how it was built in 1964, and the long glass panels represent the true beauty of the building.

Here are some pics:

Anyways, that’s not the point. I mainly learned from Kathy that how AI has contributed to Healthcare is really big because of how the insights, and the data that Watson is feeder is so accurate, that Watson comes up with a great solution, that has came in handy many times, and still continues to. Here are the full notes that I have: Link


What I learned from Matt Calgary is the development, and actual Software of the new app SugarIQ for iOS devices. It is not yet out on the App Store as of the date 5/29/18, but it will come out in the next month or two. SugarIQ has a built in Watson software to it, and it is for people with diabetes. Their is a wireless device called Guardian Connect. Guardian connect is a tiny device that injects a needle into your skin every 5 minutes. Don’t worry, you don’t even feel it. Anyways, then the data that it collects about your blood pressure, sugar, etc., and then Sugar IQ makes references and can see what you ear, and it asks questions a to know you, and using deep learning platforms of AI, is able to get to know you better and make references to you better. For example, if the app recognizes that you play soccer every Saturday afternoon, it will remind you to pack a snack with a lot of calories such as a granola bar, so your blood sugar goes too low. Also, Sugar IQ will notify you on your iOS compatible device if your blood pressure or sugar is too high, or low. I found this pretty cool. Here are a couple of videos on Sugar IQ:

After that, I really enjoyed the site visit. It was fun, I got to see some really cool parts of AI in Healthcare, I learned a lot, and most of all I was inspired to be part of AI in Healthcare In the future, and to make the world better where it needs to be improved on.

May 22

Ellis Island Field Trip

Ellis island was a good historical experience. I learned many things, and I thiknk that will contribute to my education in the future. Anyways, I didn’t really enjoy the trip as a fin place, but historically it was. Very good experience for me to see. Here are some things that’s I like about the trip:

    Statue of Liberty:

I liked the Statue of Liberty because it was a very good historical experience, and for me to see it with my own eyes, it made a very good experience, and helped me understand what the immigrants emotionally felt during the process of the steamship ride, and how they all were so glad to see a statue, and how much the Statue of Liberty made them feel. This made me very happy and proud for all of the immigrants journey to their new life that awaited them.

    Generally, I think that Ellis Island once again was a very good experience, and although the Ferry rides and the bus rides weren’t good, but I feel like the education behind the trip was worth it.

May 15

Peruvian Pollo a La Brasa Misti Restraunt Reflection

I have noticed that the restaurant was very interesting and exposed my class to be more open to other cultures. The peruvian culture was very interesting because of the different food style that is different from what I encounter in my daily life, and seeing people’s reaction and exception to taking great food, (from their opinions) which made the waters happy and open to new people accepting and greatly enjoying what they propose. Why I am writing this in more of a third person style is eaue of my allergies, I wasn’t actually bale to eat the food.  But seeing everyone else’s reaction and maturity to trying other cultures food and being open to other cultures made me open to the experience.

Generally speaking, it was a great experience, everyone was polite, and it made me have an emotional connection to the new culture that I was exposed to.