Artificial Intelligence in Healthcare

In the year 2007, Adam and Eve discovered something that takes many years for others to discover. Eve researched an element named triclosan, a common component of toothpaste, and discovered that it is efficient in combating malaria-based parasites!

Eve’s friend Adam, researched the functions of yeast and turned over billions of data points available in the public databases to understand and predict the functioning of 19 genes of yeast. In the process, Adam discovered 9 new and accurate hypotheses.

All this is done within an unbelievable time frame and with the highest precision and accuracy. Adam and Eve were neither doctors nor scientists but rather AI robots tasked with the projects equipped with the right tools of machine learning and algorithms.

The new name in the game of healthcare. The industry, where precision, accuracy, efficiency, and affordability turned the card, is being revolutionized by the latest technology of Artificial Intelligence. With the AI already set to boom into a $28 B industry by 2025, it is no doubt that the future of healthcare systems is set to skyrocket into newer horizons.

We are here to explain all the nuts and bolts of artificial intelligence

AI is a technology that helps machines to sense their surroundings, understand the pattern in the data, act accordingly and learn from the mistakes and results all in a fraction of time.

Artificial intelligence truly augments human intelligence and behavior. In the cosmic web of machine learning algorithms and software that analyses data, understands the pattern in a healthy and unhealthy patient to develop new and innovative methods to tackle the issue or disease.

Major components that form the structure of artificial intelligence are machine learning and deep learning complemented with natural language processors and sensors to bring out the complete big picture.

How does the magic happen?

With the present stats of AI being used and incorporated 46% in the service operations, 28% in the products and services sector, 19% in the risk management department, 21% in the supply chain processes, and 17% in the marketing and sales of the healthcare industry testifies for the significance of the innovation (Forbes)

Whew! That’s a lot of numbers.

What makes the strings sing is the components that make artificial intelligence possible:

1. Machine learning – it is the technique with which the algorithms analyze the given data set, identify patterns and make decisions without being explicitly programmed to do so.

It is a system of trial and error with the fastest processing speed and accuracy increasing with every trial. It learns and improves itself based on past experiences and results.

2. Deep learning – a subset of machine learning, it takes the unsupervised learning processes to another level and improves the scalability of the algorithms by analyzing much bigger data sets and comprehending the patterns in them. 

It attempts to interpret the minute details and make the results much more accurate and precise.

3. Natural language processors [NLP] – with the data being scoured it is always in the form of bits and bytes which makes it impossible for a human to comprehend the results or any other thesis. Hence, it is critical to train the model being developed to understand the human language and display the data and results in the language that humans can understand.

The models used for such conversion of languages are known as natural language processors which understand the given query, make sense of the parameters, and extract the data or results accordingly.

4. Neural networks – just like the brain of humans connecting every nook and corner to make sense of the world around them and behave accordingly to deliver the best results, neural networks developed in artificial intelligence work a similar way. Neural Networks connect the data sets and their patterns, past experiences, and results, which approach worked and which did not, at the same time comprehending the incoming stream of data to improve its thesis and suggestions in real-time.

With 1 in 4 people in Europe and North America going over the age of 65 by 2050, it calls for a healthcare system that is ready to deliver and sustain the complex needs of its citizens.

Artificial Intelligence will be the next dynamic and structural transformation in the industry to equip healthcare with the growing demands.

Why should you choose AI?

Kaveh Safavi, head of Accenture’s global health practice, anticipates that AI might turn the tile of the dilemma of the “iron triangle” of healthcare that is making the healthcare system accessible, affordable, and effective. Oftentimes, improving one-factor results in negatively affecting the other. But with artificial intelligence in the scene, it might be able to find the middle ground at making the healthcare systems cut costs, improve treatment, and bolster accessibility in tandem. Eventually, AI can address 20% of the unmet clinical demand.

Artificial intelligence comes with a pack of benefits each personalized and tailored according to the requirements of the industry:

• Unmatched precision and accuracy: with the data set is the only limit, analyses and results are delivered in real-time with the solutions that satisfy every constraint. AI truly presents itself as a gateway to the future
• Uninterrupted service without any bias or lack of attention
• Access to more data helps in making informed decisions
• Enables multi-tasking without any glitches to ease the existing workload
• It can be used for multiple departments across varying fields of healthcare
• Streamlines the decision-making processes with readily available data that is updated in real-time.
• Can take over the mundane and repetitive tasks allowing the professionals to focus on intricate tasks. AI has the potential to free up 70 percent of a healthcare practitioner’s time. 
• Minimizes overall error ratio and inaccuracy with trial and tested methods and solutions reviewed from every angle.

How to incorporate AI into your system?

Going by the numbers revealed by Accenture that narrate the tale of the future, the following applications of AI can improve the quality and affordability of healthcare services exponentially:

• Robot-assisted surgeries – $40 B 
• Virtual nursing assistants – $ 20 B
• Administrative workflow assistance – $18 B 
• Fraud detection – $17 B
• Dosage error reduction – $16 B
• Connected networks – $14 B
• Clinical trial patient identifier – $13 B
• Preliminary diagnosis – $5 B
• Automated image diagnosis – $3 B
• Cybersecurity of data – $2 B

With total *value exceeding over $150 B in the application which drastically improves the efficiency, accuracy, precision, and outcomes.

*Value is the estimated potential annual benefits of each application by 2026

Other creative ways to amalgamate the benefits of AI with your systems can be as follows:

• Developing the next generation radiology tools
• Improving medical diagnosis by using cognitive technology such as IBM’s Watson or Google’s DeepMind Health for healthcare. 
• Making the process of discovering, testing new drugs much faster and streamlined. According to the California Biomedical Research Association, it takes more than a decade or 12 years to be precise for a drug to reach from labs to patients
• Making holding clinical trials more efficient with reliable data outcomes
• Making pain management more bearable with augmenting artificial intelligence with virtual reality
• Improve managing of the information databases and accessing the right information at the right time easier
• Improving the decision-making process with predictive analyses or prioritizing administrative tasks.
• Improving the quality of treatments by taking the comprehensive approach towards disease management using robotics for surgery or even in labs

Taking AI the next step

These all applications, benefits, and stats come under the canopy of healthcare systems such as hospitals or pharmaceuticals. So, what is in store for everyday individuals?

AI can potentially touch every life at every point at any given time. Artificial Intelligence takes the healthcare to next level. On the personal level!

Augmenting AI in wearables can drastically improve the health of individuals. Encouraging individuals to take health-conscious decisions on an everyday basis can exponentially improve the health and life span of the users.

• The data recorded by the wearable can warn you of anomalies.
• Keep track of your health in the most efficient manner
• Motivates to remain active
• Can set daily goals and milestones
• Regularly monitor the critical health parameters
• Helps in improving the quality of medical diagnosis with already in hand data available

Multiple diseases such as cancer, diabetes, and many more can be prevented, if not cured if detected in their early stages. A wearable that monitors health can manage and detect any anomalies to stay ahead of the disease.

The overall wearable AI industry is set to boom into $42.4 billion by 2023, from USD 11.5 billion in 2018 growing at the rate of 29.75% demonstrates the significance and importance of the AI wearable. 

Some of the examples of the AI wearable that are game-changers in the industry include, Next-generation wearable for blind people detecting obstacles or AI-powered diabetic’s eye disease detection by Google. 

How do you incorporate AI into your systems right now?

We got you covered.

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