Google’s AI tools to predict patient’s death, more accurately than Hospitals

Google working in AI arena to predict the timing of patient's death

Medical Brain unit of Google is working for a fusion of artificial intelligence to estimate the possible timings of death risk among the patients who have been hospitalized.

The inference of the team has surprised a number of medical experts when it pointed out a high degree of accuracy than a hospital’s own warning system. It shows the advances by the Medical Brain team would assist the healthcare business.

Google’s health-care system which is based on artificial intelligence looks promising at using data to learn and improve the predictability of the lifespan of human beings.

The mechanisms which empowered about the patient lives and the support systems comprises the stay period of the patients in hospitals, their frequencies of re-admission and the death-risk probabilities.

Also See: Google pledges not to use AI for Weapons

One of the Google’s team has specifically published its findings in a paper in a research journal where it says that In a case study of a woman with metastatic breast cancer, Google utilised its algorithm to measure the effect. One day after she was admitted, Google predicted about 20 per cent likelihood of her dying within the hospital itself. On the contrary, the hospital had estimated at about 9.3 per cent through its Early Warning Rating (aEWR) system.

The particular patient died within 10 days of her admission to the hospital. The incident has convinced and impressed upon medical experts of its usability. It is mostly because Google’s systems have the ability to go through the data which was previously not accessed or made available.

Manual data takes a lot of time, to feed and analyse and the hospital’s internal systems are not equipped to sift through and comprehend this information.

Also Read: Google’s free Wifi now at 400 Railway Stations in India

It is interesting to note that not only the neural network collect information for predictions, they also link back the predictions to which records it has depended for its inferences. This way, it looks quite credible. It has also shown to be quick and accurate than the techniques, being used.

In the existing scenario, in the healthcare sector, most of the information is usually entered manually. Google’s approach, where machines learn to analyze data on their own is based on a scientific algorithm. Even then, the widespread use of artificial intelligence in healthcare sector remains a big question mark because it might create fears of machine learning abilities on a number of parameters, much of which is just based on interpersonal behaviours.

A number of other companies have also tried to join the fray of artificial intelligence to medicine. These include IBM’s Watson but have had a tough time succeeding.

It is not sure if the tech giant IBM or other ones will use the neural networks for their business model, but Google is certainly working on the perfection of this AI project.

Google pledges not to use AI for Weapons

Google pledges not to use AI for Weapons

The CEO of Google Inc. Sundar Pichai has clarified his stand on the principles of Artificial intelligence in using it for the war or such situations. His blog post makes it clear that Google will never use this technology for warfare or mass surveillance systems.

The relevant post of Pichai points out the salient features of AI principles in relation to the Google. The company is facing protests from within its own followers over its participation in the Project Maven with the US Defense Department. Few employees of Google have also quit their jobs over the company’s involvements in this project, it is said.

Also See: Google’s AI tools to predict patient’s death, more accurately than Hospitals

The blog of Pichai says that artificial intelligence is a type of computer programming which learns and adapts itself. Although it has a great potential to improve the lives of people, on the other hand, it is admitted that AI cannot solve all the problems. Moreover, its use will raise some unanswered questions about its use.

S Pichai said that though the company is a leader in the field of AI, it has a greater responsibility. It has a total of seven principles to guide their AI work. These principles are not merely the concepts only, but these are concrete standards, which govern research and product development. they are bound to impact business decisions, he adds.

Google’s principles regarding artificial intelligence enumerate that the AI needs to be socially beneficial. it should avoid creating or reinforcing unfair bias, and will need to be tested for safety. Moreover, it will need to be accountable to the people. AI from Google needs to be tested for safety, have privacy things embedded within the design, and uphold high levels of scientific excellence.

Its seventh principle says that AI could only be made available for uses that are in consonance with other principles of the company. Google will also evaluate the timings of these new technologies, which can be made available on a non-commercial basis.

Must Read: Google’s fee WiFi now at 400 Indian Railway stations

The Google post notes that it will not build AI technologies which will cause any harm by means of weapons, including those which may cause or inflict injury on the people. It will also not restrict AI technology from the company to be used for surveillance purposes, which violate accepted norms. Google will not let its research to be used against principles of international law and human rights.

Though, it clarifies that Google will continue to work with governments and the military in many other areas like cyber security, training, military recruitment, veterans’ healthcare, and search and rescue.

Google’s free WiFi now at 400 Railway Stations in India

Google's fee WiFi now at 400 Railway Stations in India

Google is on free Wi-Fi hotspots installation spree in India. Till now 400 Indian railway stations has already been saturated by these hotspots in various railway stations in the last 30 months. The latest being Dibrugarh in Assam.

These hotspots are installed under the project named ‘RailWire’. It was launched in the month of January’ 16. Google claims it to be the largest public Wi-Fi project in the world. It works with the data speeds said to be faster than even London and San Francisco, it had once said.

An Indian railway public sector RailTel is assisting Google with the infrastructure, necessary for the project. Initially, the first station which got connected first was Mumbai Central. In a year time, Google had saturated about 100 others stations. It has helped about 15 thousand users daily to get benefit from the services.

It is estimated that more than 80 lakh users are making use of this connection per month. Google claims that this project can help the economy to bring connectivity to everyone, a top official of the company said.

As per the existing plan, users can get mobile data for initial 30 minutes for free. Thereafter, they will be charged a discounted rate. Till now, each session, on an average has found to be consumed about 350 MB of data, Google claimed.

As per the user profile, most of them are in the age category of 19-34, but the helplines are assisting to connect first-timers and senior citizens too if they found some snag. As per a finding of the study, more than half of the users access the network more than twice a day. It shows they are pursuing their work from stations, Google notes.

Encouraged by the success of RailWire, Google has started working on Google Stations concept. That is the use of access outside of railways for the first time in India. It is being done in collaboration with engineering and construction company Larsen & Toubro.

At the beginning of this year, 150 such hotspots were deployed in Pune city to augment its Smart City project. Google is also expanding its Wi-Fi access system to other places under its Next Billion Users venture.

The Indian Railways is also working on a drive to equip over eight thousand stations with Wi-Fi facility by the end of this financial year, i.e. March’19. Their focus would remain on the stations with rural background or settings.

The company says that to set up hotspots in a rural station is much cheaper compared to urban stations in metro cities. A RailTel-DoT joint venture has already installed about 140 hotspots in rural railway stations till now.