Artificial Intelligence in Healthcare
Artificial intelligence enables automation, insights, and sophisticated problem-solving by empowering machines to emulate human intelligence.
The
key to artificial intelligence has always been the representation.
JEFF HAWKINS.
Artificial Intelligence
Artificial Intelligence is a field
of computing where intelligent machines uplift human cognitive abilities &
experiences. AI can reproduce certain human-like behavior, such as interacting,
recognizing, learning & understanding, making it a powerful technology. AI
refers to a large field of science enclosing not only computer science but also
philosophy, psychology & other areas. This technology is concerned
with getting computers to do jobs that would generally require human
intelligence.
The founder of AI Alan Turing defines this
discipline as: “AI is the science and engineering of making intelligent
machines, especially intelligent computer programs”.
It’s high time for the technology leaders to
look at how AI can be used to improve speed, quality, functionality & even
lead to excellent revenue growth.
Must Read: Best
Books
Table of Contents:
·
Artificial Intelligence in Healthcare
·
Which Companies are taking Full Advantage of AI?
·
How Big Companies Use Artificial Intelligence In Practice
Narrow AI vs General AI
Narrow AI: A chess computer could defeat a human in
playing chess, but it couldn’t solve a tough math problem. Practically all
recent Artificial Intelligence is “narrow”, meaning it can only do what it is
designed for. It means for every problem a particular algorithm requires to be
designed to solve it. Narrow AI is mostly much better at the job they were made
for than humans, like calculus, chess computers, translation, face recognition.
General AI: The holy
dish of AI is a General AI, a single system that can learn about each &
every problem and then solve it. This is precisely what humans do: we can
specialize in a particular topic, from sports to art, from abstract mathematics
to psychology and, we can become experts at all of them. An Artificial
Intelligence and machine learning system integrates & uses mainly machine
learning & several other types of data analytics methods to achieve
artificial intelligence capabilities.
Applications of AI
The growing availability, precision, and ease
of implementation of artificial intelligence methods generate opportunities for
companies to use them in their business.
For example, insurance companies get started
with AI to read claims from their clients, to have the understanding, of the
claim is easy or difficult & it can give a suggestion on how to handle the
claim. The insurance employee then only needs to do a quick check before
approving the recommendation. It can save precious time & increase the
quality of the work. This is just one example. Here we share 5 applications in
which we will see a huge development in the coming years of lean transformation.
- Image recognition.
- Translation.
- Speech recognition.
- Q&A.
- Games.
These developments will make applications
cheaper & more precise, opening the door for business to use them
during organization transformation.
1. Image Recognition:
Different vendors like IBM & Google are
offering their preprogrammed algorithms open source & software libraries
like Tensorflow make it possible to develop your algorithms, visual recognition
is becoming more accessible for the public. Popular applications of image
recognition are Google’s shopper app or facial recognition for security cams.
IBM Watson, which we know from playing
Jeopardy, has matured its image recognition expertise in the field of medicine.
IBM Research has been operating on sound learning techniques for computer
vision that could be utilized to recognize whether skin irregularities are
melanoma. They developed a group of methods that can separate skin lesions
& methods that can find the area and surrounding tissue for melanoma and
tested it on a large publicly available dataset.
The vision of IBM is that at a particular
point medical staff can send a picture of skin irregularities to Watson, the
same way that they send blood samples to the lab. Facial recognition, which was
used in security cameras, now has also been generated in other areas. In a
survey, it was found that a quarter of all British shops use facial recognition
software. The software is used for security, but also to track customers to
observe their behavior as an effect of product displays or the traffic flow in
the store.
2. Translation:
It is the process of translating text from one
language to another by using the artificial intelligence system. In place of
working in a regulated way, powered by human decision-making, translation using
a neural network is completely based on mathematics. On comparatively basic
texts, the GNMT system translations approach the quality of human translators.
A demonstration even conveyed that when you translate English to French and
subsequently translate English to Japanese, the model can translate French to
Japanese honestly well, without any previous training concentrated on the
official link between the two languages.
3. Speech Recognition:
Speech recognition is an application for
Artificial Intelligence that recognizes speech and can revolve spoken words
into written words. It is barely used on its own, but it is widely used as an
addition to Chatbots, virtual agents & mobile applications.
Popular examples are Microsoft’s Alexa,
Apple’s Siri & Google Home. Today we have applications on our phone &
in our home that can respond to our voice. One of the business applications is
the use of speech recognition in health care. A lot of physicians are working
with an electronic health record (HER) to record patient information. Using
speech recognition, the patient record can be recorded in a flexible &
quick manner, which allows the physician to give more attention to the patient.
4. Question Answering:
Q&A agents or Chatbots are other examples
of applying AI technology to language. A chatbot can be concentrated on
answering questions in an open or closed domain. When it operates in an open
domain, it should be able to answer common questions that can concern any topic
(for example Cleverbot).
Closed domains, however, have a very good
business application such as responding to questions at customer service. Some
years ago, there was a development in question answering interest, when IBM
Watson defeat humans in a game of Jeopardy, a well-known American quiz
show. Google made another development more recently, which now gives chatbots
the ability to have a short-term memory, enabling them to mimic real-life
conversations more realistically.
In the area of customer service, Chatbots are
swiftly becoming the norm, one example being IPsoft’s Amelia. Automated
systems already handle standard queries, forwarding only the difficult ones to
human decision-makers.
5. Game/ Solver:
Playing a game well needs you to not only know
the rules, but to calculate the next possible moves within these rules, and
ultimately make a careful judgment on which move would give you to best chance
to win.
A computer recently achieved a
big milestone in the field of games by defeating the world Champion of Go for
the first time. The top Go players of the world depend for a
large part on their intuition to come to the best moves. Google’s AlphaGo,
understood how to play like a top human player by studying millions of human
games. It then became even stronger by playing against another version of
itself millions of times, which finally enabled it to defeat the world
champion. If computers can defeat human players in one of the most complicated
games that currently exist, then where does the possibility for Artificial
Intelligence stop?
Leader’s Tip:
Promote a culture that values innovation, experimentation, and
collaboration between humans and machines by embracing AI as a strategic tool.
Artificial Intelligence in Healthcare
Artificial Intelligence (AI) has
become increasingly prevalent in the healthcare industry in recent years. It
has the potential to improve healthcare delivery, patient outcomes, and reduce
costs.
AI-powered chatbots can also use
to answer patient queries and provide basic medical advice. AI-powered tools
can help doctors and other healthcare professionals diagnose and treat diseases
more accurately and efficiently. For example, machine learning algorithms can
analyze medical images to identify potential areas of concern or help
radiologists diagnose conditions.
AI can also help healthcare
providers identify patients who are at risk of developing certain conditions
and provide proactive care. By analyzing patient data, AI can predict disease
progression and identify the best treatment plans for individual patients.
Moreover, AI can help streamline
administrative tasks such as scheduling appointments and managing patient data.
AI-powered chatbots can also use to answer patient queries and provide basic
medical advice.
AI-powered medical devices and
wearables are also becoming increasingly popular. These devices can monitor
vital signs, track patient behavior, and provide real-time alerts to healthcare
providers in case of any abnormalities.
However, implementing AI in
healthcare requires addressing several challenges such as data privacy, ethical
considerations, and ensuring that AI-powered tools are accurate and reliable.
Nevertheless, AI has the potential to transform healthcare delivery and improve
patient outcomes in ways previously unimaginable.
In conclusion, AI has the
potential to revolutionize the healthcare industry and improve patient
outcomes. However, we must ensure that we use AI responsibly and ethically to
maintain patient trust and privacy.
Which Companies are taking Full Advantage of
AI?
- Amazon has used machine
learning to lead suggestions for many years. The company is using deep
learning to renovate business processes & to develop new product
categories, such as its virtual assistant and maintaining its competency
in digital
transformation.
- Google has sketched its
Artificial Intelligence specific chips to stimulate machine learning in
its data centers & on IoT devices.
- China’s BATs – Baidu,
Alibaba, and Tencent – are investing soundly in composition for agents in
artificial intelligence while growing into areas previously controlled by
US companies: autonomous vehicles, chip design & virtual assistants.
- These tech firms are using
AI to generate billion-dollar services & to modify their operations.
To develop their AI services, they’re following a friendly scenario:
- Find a solution to an
internal challenge or opportunity,
- Perfect the solution at
scale within the company and,
- Launch a service that
swiftly attracts mass adoption. Hence, we see Microsoft, Amazon, Google,
and China’s BATs launching machine learning and artificial intelligence
development platforms and stand-alone applications to the broader market
based on their own experience using them.
How Big Companies Use Artificial Intelligence
In Practice
ABB progressively implemented
ABB’s Predictive Emission Monitoring System (PEMS) as a segment of a complete
Environmental Management system in one of the foremost gas processing plants in
the world. The system uses an empirical model to forecast emission
concentrations based on process data. PEMS – also known as an
inferential analyzer – cannot compute emissions directly but uses an empirical
model to predict emission concentrations based on process data, such as
operating pressure, fuel flow, load & ambient air temperature. Additionally,
virtual analyzers serve other purposes:
- Recognize the key variables
that cause emissions.
- Automatically verify
sensors.
- Revamp emission levels from
actual data when the hardware device break down.
- Complement & amplify
process optimization strategies.
- In the US, several states
allow artificial intelligence (AI) technologies based on models like PEMS
as an alternative monitoring technique.
2. Alphabet – Google-
Alphabet is Google’s parent company. Waymo,
the company’s self-driving technology division, started as a project at Google.
Today, Waymo wants to bring self-driving technology to the world not only to
move people around but to decrease the number of crashes. Its autonomous
vehicles are recently plying riders around California in self-driving taxis.
3. Alibaba-
Chinese company Alibaba is the world’s biggest
e-commerce platform that sells more than eBay & Amazon integrated. Alibaba
uses artificial intelligence in its daily tasks and forecasts what customers
might want to purchase. With natural language processing, the
company automatically produces product descriptions for the site.
Another way Alibaba utilizes artificial
intelligence is in its City Brain project to develop smart cities. The project
uses computer language used for artificial intelligence algorithms to help
decrease traffic jams by evaluating every vehicle in the city. Additionally,
Alibaba, through its cloud computing division called Alibaba Cloud, is helping
farmers detect crops to improve yield & cuts costs with artificial
intelligence.
4. Apple–
Apple which is one of the world’s biggest tech
companies, selling customer electronics such as Apple Watches & iPhones
and, as well as computer software & online services. This
company uses machine learning & artificial intelligence in
products like the iPhone, where it provides the FaceID feature, or in products
like the HomePod, AirPods, Apple Watch, or smart speakers, where it enables the
smart assistant Siri. It is using AI to help you find your
photo in the iCloud & to suggest songs on Apple Music.
5. Amazon-
Amazon uses Artificial Intelligence in the
game with its digital voice assistant, Alexa. Another ingenious way Amazon uses
AI is to parcel things to you before you even think about buying them. By
gathering extensive customer data and utilizing predictive analytics. They
confidently anticipate and suggest items, catering to individual buying habits
even before the customers realize their needs.
Amidst the struggle for market relevance,
America’s largest e-tailer introduces the innovative Amazon Go, a cutting-edge
convenience store concept. You don’t need any checkout in this store. Utilizing AI technology, the stores track selected items and
seamlessly charge customers through the Amazon Go app on their phones. As there
is no checkout, you bring your bags to collect with items & cameras are
stalking each & every activity to detect every item you put in your bag to
finally charge you for it.
6. Microsoft–
As a leading AIaaS vendor, they incorporate
intelligent features into products like Skype, Cortana, Office 365, and Bing.
7. Facebook–
One of the primary ways Facebook uses
artificial intelligence technology & deep learning is to add structure to
its unstructured data. They use DeepText, a text understanding engine, to
automatically understand & interpret the content and emotional feeling of
the hundreds of posts (in multiple languages) that its users post every
millisecond. DeepFace helps social media to identify you in a photo that is
shared on their platform. This technology is better at facial recognition than
human beings. The company also uses artificial intelligence to automatically
find & delete images that are published on its site as revenge porn.
Best Video for you-
Conclusion
Leaders across industries must
urgently consider how and where to invest in AI-based technologies. To harness the full potential of AI, businesses must
grasp available technologies. Evaluate processes, data, and markets, aiming to
boost speed, quality, functionality, and revenue growth.
But visualizing the possible is not just about
the opportunities. Executives require to put on their insight. AI has the power to disrupt their business or even their
entire industry. Now, it is time to start this discussion. In two to four
years, it may be behind time.
Leader’s Tip:
Ensure openness, fairness, and responsible usage of AI while addressing
potential biases and privacy problems by starting with ethical considerations.
Frequently Asked Questions
Where
Artificial Intelligence is used?
Artificial Intelligence is used
in a wide range of industries and applications, including healthcare, finance,
transportation, manufacturing, education, and entertainment. AI is used for
tasks such as image and speech recognition, natural language processing,
predictive analytics, decision-making, and autonomous systems, among others.
When
Artificial Intelligence invented?
Artificial Intelligence (AI) has
a long and complex history, with roots going back to the early 20th century.
However, the modern era of AI began in the 1950s, with the development of the
first neural networks and the birth of the field of AI as a scientific
discipline. Over the subsequent decades, AI has undergone numerous advances and
setbacks.
Key Takeaways:
·
Automation, predictive analytics, and personalised experiences are made
possible by AI, which boosts production, efficiency, and client pleasure across
all industries.
·
Upskilling, talent acquisition, and fostering an atmosphere that values
diversity, innovation, and lifelong learning are all necessary for effective
leadership in AI.
·
Understanding AI’s limitations, taking into account its effects on
society, and guaranteeing data security and quality are all necessary for
effective AI applications.
This blog is originally taken from : https://learntransformation.com/artificial-intelligence/
.jpg)
Comments
Post a Comment