The Future of Surgeons?

Earlier post was concerning about healthcare and how Artificial Intelligence can tap into those areas. What if after years of focusing and finally human beings has come up with an artificial intelligence doctor. Human beings can make error as it is apart of their life but imagine a robot that is able to do calculations in seconds in order to determine the correct drug dosage to be given to a patient without any risk later on just by using their super computer brain.

From the perspective of the chairman of public health at University of Warwick, Professor Richard Lilford thinks that this wont happen and even if it happens the Artificial Intelligence will only be used as a second opinion or even first opinion. However the final call will definitely be made by the doctor themselves. It is undeniable that computers will produce effective results, but concerning towards medical field especially dealing with patients who are ill or terminally ill by having a real life doctor in those circumstances is really comforting for the patients due to the supportive human characteristic which is indeed vital. With an Artificial Intelligence doctor, patients would not be able to get such comforting support.

"It’s lethal to think that you can separate the psychological care from the physical care. They are part and parcel of the same thing" (Powell, 2015).

For now the advancement of technology in the medical field with the use of Artificial Intelligence has brought human kind to a lot of opportunities in variety of methods on treating, detecting and preventing diseases. For example the Deep Genomics which is the combinations of machine learning techniques fuse with Artificial Intelligence which allow to study the human genome. In a way it is able to predict either that person will get a certain disease or they might not get it. This Deep Genomics is different because it has access to a database of 300 million variety of diseases. As any other analysis it also uses algorithms to find out on how an individual's mutation would cause a problem in the future.

In the words, it safe to say that the future for surgeons around the world in safe for now as having that personal human-to-human interaction plays an important role in treating and handling patients. (386 words)

Written by Kaza and Khoo Foo Sheng

References:

Powell, J. (2015), The Telegraph. Do robots feature in the future of medicine? [Online] 15 October 2015. Available from http://www.telegraph.co.uk/sponsored/education/festival-of-the-imagination/11921755/will-robots-take-over.html. [Accessed 3 November 2015]

Keshavan, M. (2015), MedCity News. Using deep learning and artificial intelligence to map the genome and predict disease. [Online] 22 July 2015. Available from http://medcitynews.com/2015/07/deep-learning-artificial-intelligence-genome/. [Accessed 3 November 2015]

Intelligence Healthcare

Concerning the area of medicine, how far has the technology in this particular field has help human beings? Are we in the state where we have artificial intelligence robots performing surgery on patients? Not yet, but what we have are artificial intelligence that can assist people in their healthcare. 

According to Eugene Borukhovich (2015), there are 5 areas where the Artificial Intelligence can actually advance more in the future. Firstly using the Artificial Intelligence to be a predictor in the drug resistance. Secondly utilizing Artificial Intelligence to to fully support faithfully towards medication, for example AiCure, uses Artifical Intelligence integrated with the smartphone to check whether the person has taken their medicine or not. Thirdly is the development of smart drugs with Artificial Intelligence, currently three major companies are collaborating with each other IBM, Johnson & Johnson and Sanofi. They are teaching the supercomputer to analyze and truly understand the scientific outcomes of each clinical trial that was conducted, so based on the results they could then help to further develop better drugs and event treatment. By doing so they are able to see clearer pattern and help physicians to make better decisions when giving out medicines to the right patients that would eventually help those patients by minimizing the side of effect but also at the same time maximizing the effectiveness of it. Fourthly is concerning Alzheimer's patients, Artificial Intelligence that are able to support and give a better quality of life towards Alzheimer's patient. Turns out Department of Computer Science from the University of Washington has already explore in this particular area. The system would utilize Artificial Intelligence technology where it will help to substitute part of the memory and also skills like problem solving that was lost along the way due  to being an Alzheimer's patient. Lastly, a wearable health technology. A general manager from Microsoft, Zulfi Alam will use the Internet of Things (IoT) applications by collecting data. From that data an algorithm will be created where it will have all the knowledge of the users bio-metrics. Moreover, they are able to recognize patterns and eventually to give the user a chance to improve their health. (362 words)

Written by Kaza and Thinesh

References:

Borukhovich, E. (2015), Health Works Collective. Artificial Intelligence for Healthcare: Are We There Yet?. [Online] October 20 2015. Available from http://www.healthworkscollective.com/eborukhovich/318831/artificial-intelligence-healthcare-are-we-there-yet. [Accessed 2 November 2015]

Hernandez, V. (2015), International Business Times. 5 artificial intelligence applications in healthcare to dispel fear of robots with AI. [Online] October 28 2015. Available from http://www.ibtimes.com.au/5-artificial-intelligence-applications-healthcare-dispel-fear-robots-ai-1478480. [Accessed 2 November 2015]

Computerized Data Analyst

Previous post introduce about the big data that is now a big trend. From all of these big data, finally emerge the data scientist or data analysis. With Business Intelligence taking over companies, more and more complex dashboards are design. This leads the companies to hire data analyst to basically explains all the data that is shown, informing and what kind of conclusion that can be draw from those data. It is not a surprise that in when it comes to data analyst, the world is facing shortage of these kind of workers. Besides that, even though there are data analyst that is being hired or people working as data analyst after graduating not many of them can make a proper decisions based on the data that they have collected and tested. So what do companies do to address such problem? They are turning to Artificial Intelligence for help.

For example "Yseop Smart Business Intelligence" is a software that was created by the Yseop enterprise company that focus on Artificial Intelligence. How does Yseop Smart BI works? So with powerful tool and software it is able to analyze and explain data very quickly. Moreover it is able to turn data into narrative, so not only does it explains what the whole data is about but it also informs the user what kind of actions to take and why those actions need to be taken. Not only that, this software is the by far one of a kind in the current market that is able to explain clearly all of its reports and findings in multiple languages in real time. The current languages that the software support are English, Spanish, French and German. It is powered by the Natural Language Generation known as NLG. The image below shows how Yseop Smart BI works. (305 words)

Written by Kaza and Thinesh


References:

Yseop Smart Business Intelligence & Reporting Software. (2014). Yseop Smart Business Intelligence [Online]. Available from http://yseop.com/EN/smart-business-intelligence. [Accessed 15 October 2015].

Bridges, T. (2014), Rude Baguette. [Interview] Yseop's revolutionary approach to turning data into intelligent text. [Online] August 18 2014. Available from https://www.rudebaguette.com/2014/08/18/interview-yseops-john-rauscher-turning-data-intelligent-text/. [Accessed 15 October 2015].

Data Mining

Data mining is a field mostly concerned with extracting information from a vast amount of data. Google Search is the best example of such a system taking an analysis step of knowledge discovery in the database process. It is a computational process which analyses a pattern of searched result involving large set of data also known as "Big Data". Besides, all search applications like question answering systems (SIRI) involve method of interaction between artificial intelligence and machine learning. The main objective of data mining procedure is to extract information from a data set a change it into a meaningful structure for utilization. 

Another example is Association Rule Mining/Pattern Mining being applied in Retail Industry to mine buying behavior of consumers from vast amount of historical buying behavior. (129 words)

Written by Sim Zheng Chi

References:

Pena Fernando, 1988. Artificial Intelligence is Coming. European Management, 6(2), pp. 174-177.

Clark Holloway, C. o. B. A. C., 1983. Strategic Management and Artificial Intelligence. Long Range Planning,, 15(5), p. 89 to 93.

Machine Learning

Machine learning is a sub-field of computer science that advanced from pattern recognition and computational learning theory in AI. Machine learning study and develop calculations or algorithms that can gain from and make prediction on data. In machine learning, there are many algorithms used such as classification, clustering, regression, feature selection, and collaborative filtering/ recommendation systems etc. Many database and decision support systems are developed using these techniques for example finance, retail, and E-commerce. The recommendation system of Amazon.com is a fine example of machine learning because it can identify how the customer behave in buying therefore it give more opportunity for customers to search as similar recommended product will appear. Besides, Amazon developed its own algorithm called item-to-item collaborative filtering. The main function of this algorithm is instead of discovering neighborhood users who have the same interest on items, it finds the items acquired to be purchased together with the selected item. Among these items, customer can find item similarity because Amazon has statistics on what percentage of people will buy. (174 words)

Written by Sim Zheng Chi

Reference:

Greg Linden, B. S. a. J. Y., 2013. Amazon.com Recommendations Item-to-Item Collaborative Filtering, s.l.: IEEE INTERNET COMPUTING.

Business Intelligence

Business intelligence (BI) is additionally the following innovation that were utilized as a part of the business which transform raw information into important data. The activity is other words called data mining, which helps business administration to make precise choice taking into account the data given. As the expanding utilization of business intelligence, organization can distinguish their client behavior and allows them to target business strategies and make precise decision.

Although BI is focuses on business goal and could not compare to data mining and machine learning, however they are powerful to AI to help business to growth because BI can produce valuable result for decision maker. Google Analytics is one prominent example of AI system. Mostly business reports and SWOT analysis comes under Business Intelligence. (128 words)

Written by Sim Zheng Chi

Reference:

Singh, R. K., 2014. What is the difference between artificial intelligence, machine learning, data mining and business intelligence? How they are related?. [Online] Available from https://www.quora.com/ [Accessed 1 October 2015].

Nano Healers

The brain is an intricately designed force of nature. Artificial intelligence technologies attempt to replicate the functions of human brain by mimicking its various neural pathways, essentially, thinking like a human does.

In the medical field, artificial intelligence is able to process vast amounts of information such as the patient’s medical history, immediate family history, environmental data, and even world population data, and identify patterns that were seemingly hidden from human view. Harnessing the power of big data, artificial intelligences can skim through an unprecedented swath of data to obtain and analyse the results.

There are a variety of applications for medical-based artificial intelligences. A technology currently in development involves injecting nano-robotic-particles (nanobots) into the blood stream, and utilizing it to eradicate harmful microparticles that resides within the body, such as bacterium, tapeworms and potentially even viruses. The artificial intelligence communicate within a neural network framework, essentially improvising and evolving its strategies while performing within its target parameters.

The underlying principles of medical nanotechnology is closely related to swarm AI technology, which also has its uses in the military. Like ants in a colony, these nanoparticles strive towards a common goal, akin to predator stalking its prey, all the while minimizing flaws and maximizing its bounty (or in the medical context, health benefits). To sum it up, think A Bug’s Life. (223words)

Written by Thinesh, Kaza and Tan Benwu

References:

Xining,H.(2015).MedTech Boston. Swarm Robotics: The Future of Medicine? [Online] 6 October 2015. Available from https://medtechboston.medstro.com/swarm-robotics-what-you-need-to-know-about-the-future-of-medicine/ [Accessed 2 October 2015]