7 Applications of Artificial Intelligence in the Healthcare Sector

Applications of AI in Healthcare

Table of Contents

  • Reading Time:6Minutes

We all know about Tesla, the new generation’s dream car, for all the automatic reasons. 

But can artificial intelligence in healthcare make activities as automatic as Tesla cars? Can it completely replace doctors and nurses?

If yes!, then how comfortable are we with a ‘Robo’ being our doctor? 

The applications of Artificial intelligence in the healthcare sector have been there for several decades. Still, earlier, it was restricted to tackling monotonous, clerical paperwork to decrease the unnecessary workload by making it digitalised.   

As AI technology has progressed, its applications in healthcare have expanded their wings, too.

Key Takeaways

  • Applications of AI in subsets in the healthcare sector 
  • Explore the various subsets of artificial intelligence
  • What are the advantages of artificial intelligence in the healthcare sector and its challenges?
  • Can AI replace doctors in the upcoming years?

What is Artificial Intelligence?

All day we are surrounded by AI, i.e. Siri, Alexa, Cortana, Google assistance, Google Maps, self-driving cars, chatbots, drones, Amazon and Netflix recommendations, navigation, e- payments and many more.

No one can deny that we highly depend on these AI technologies, and they have become integral parts of our lives.

AI refers to the reflection of human intellect in machines programmed to think like humans and imitate their actions. 

To simply explain, technology that behaves, acts, and reacts like a human is AI. And that happens when machines consume training data, study the data, and, based on that, stimulate human-like responses. 

Artificial intelligence is not a single technology; it has many subsets, as shown in the picture below. 

These different subset technologies work together and allow machines to detect, act, and learn through human intelligence.

For example, in real-time, we can find cabs for us with Uber. But Uber without AI is just a software application coded by a programmer. 

When a user books an order, either someone manually checks the data of all the cabs available and then manually books it, or AI does the calculation in real-time to book the taxi, which is much faster and much more convenient. 

Taxi businesses are experiencing growth and efficiency by integrating subfields of AI like Machine Learning, Deep Learning, and Predictive Analysis.

Also read: Difference Between Artificial Intelligence, Machine Learning And Deep Learning

Uses and Applications of Artificial Intelligence in Healthcare Sector

Here are some of the diversified uses of AI in Healthcare:

  1. Primary care through Chatbots
  2. Appointment with doctor/Virtual assistance
  3. Proactive diagnosis
  4. Robotics surgery
  5. Bioinformatics
  6. AI in pharmaceuticals
  7. Lead generation/marketing

1. Primary Care Through Chatbots

Whether you are shopping from Myntra or ordering medicine from Nedmeds, the “contact us” option now leads you to an AI-powered chatbot

Chatbots are customer care now, and the healthcare sector is not different. 

In healthcare, chatbots enable the automation of primary medical care. 

For example, we all tend to panic about false alarms or false symptoms per se, which could be solved through self-treatment, prolonged treatment, delayed attention, or minimal care.

AI-empowered chats have become the initial point of contact with doctors. 

 The chatbot uses a comprehensive repository of reliable medical information to offer. It helps patients solve initial or general inquiries. Chatbots effectively register our initial symptoms- you do not have to run to the doctor directly for a simple cold or flu. 

The best part is free, and it enhances the user experience for that medical brand or organization. 

2. Appointment with Doctor/Virtual Assistance

All thanks to AI, we can book virtual appointments with doctors and receive medical assistance virtually. What a big relief for patients who live remotely and travel constantly to see their doctors.

An appointment can be made through an app or website. 

It expedites the diagnosis process for the patient because they can first register their question with an AI chatbot and then virtually refer to a doctor or professional. It cuts down on human clerical effort and speeds up the process.

Fun Fact

A chatbot, “MAGe”, unlike other chatbots that cater to patients, caters to stakeholders across a healthcare service provider company—it gauges their positive and negative sentiment through their comments and interaction on social media. And give actionable insight and report.

3. Proactive Diagnosis

How the calculator can compute faster than a human or an excel sheet can simplify gigantic data. In the same way, some AI technology can help health professionals as a tool to forecast an ailment that may arise in the future with a patient’s medical history and medical data.  

IBM researchers partnered with other scientists and worked on the early detection of heart failure with AI like –Natural language processing, machine learning, and big data analytics. The team trained a model that can identify heart failure 1 or 2 years early.

4. Robotics Surgery

AI-powered robotic arms have stepped into the operation room with surgeons, but here we are not talking about some advanced human-like robots – Sophia.

Instead, these are also called robotic-assisted surgery; robotic tools powered by artificial intelligence assist surgeons, especially in minimally invasive surgeries where robotic precision can be utilized. 

This AI works under the supervision of a professionally trained and experienced surgeon in the robotics branch.  

Benefits of robotic-assisted surgery:

  • Less invasive, thus less complication 
  • Easy recovery 
  • Less blood loss in surgery 
  • High precision 
  • less risk and safe procedures 
  • Easy recovery 

5. Bioinformatics

It is a hybrid science that connects the biology of genes with analytical machine learning to examine the genetic pattern.

The most pressing issue is processing massive data sets of studies and ongoing research in bioinformatics into meaningful and insightful information.

Machine learning focuses on extracting and identifying insightful and actionable information from big and complex biological data using different neural networks and deep learning.

Many incurable genetic diseases and even cancer are being studied under subsets of machine learning.

Fun Fact

Stanford University has developed a machine-learning algorithm that can predict the death of hospital patients with 90% accuracy

6. AI in Pharmaceuticals

Artificial intelligence plays a key role in drug discovery, manufacturing, and medication treatment optimisation.

Over the years, drug discovery(used in medicine) has become expensive in its initial discovery and research stages. 

For pharmaceutical companies, AI has become a great cost-effective yet efficient alternative.

A chatbot named “SafedrugBot” helps medical professionals make an informed choice about the drug used in the medication they are prescribing to patients. And help find safe alternatives.

7. Lead Generation/Marketing 

It may sound irrelevant to some people, but just like any other industry, healthcare businesses also need marketing to reach the right audience unless you are a government or funded hospital.

The healthcare sector can benefit big time from the applications of AI in marketing their business.

Marketing is no longer limited to certain specific businesses.

By now, we all know that machine learning is all about data; it can evaluate all the data collected from chatbots, websites, social media, etc., generate lead customer data, and find prospects similar to an existing customer.

Also read: How To Use Artificial Intelligence For Lead Generation

Benefits of AI in the Healthcare Sector

Here’s a List of the 5 Benefits of Artificial Intelligence in Healthcare:

  1. AI automation saves time and resources. 
  2. Assisting in managing medical records for doctors, surgeons, and nurses.  
  3. Accuracy and Speeds are higher in humans.
  4. It enables option distance treatment and remote consultation. 
  5. Solves complex and unstructured data to make actionable inferences.  

Challenges of AI in the Healthcare Sector

Here are the Challenges of AI in the Healthcare Sector:

  1. Artificial intelligence is new, and there are very few regulations for the governance of AI. 
  1. It studies enormous data and does permutation combinations based on the data study. It makes judgments which may lack human logic. 
  1. The accuracy and relevancy are higher, but they require a balance between human empathy and machine.
  1. It requires extensive data to work on and exposes security and storage challenges.
  1. The problem of data bias can handicap the functionality and efficiency of AI.

Will AI Replace Doctors/Surgeons?

Not anytime soon!

It may have replaced clerical work, which does not require specialization. But can not replace professional work and human decision-making ability.

Calculators do math faster than humans, but can they replace humans? NO.

Read More: Artificial Intelligence and The Future of Humans

These are machines invented by humans to increase efficiency in operation and cut human effort.

According to the World Economic Forum, AI will replace 85 million jobs but will create 97 million jobs in the field of AI by 2025. 

There are numerous career opportunities, and there is a lot of demand for human resources in the AI field.

If you are reading this till the end, chances are higher that you are interested in learning about the AI field.

You can learn from the course while working on 4 live projects with expert mentorship from the AI course by Verzeo.

Conclusion

Artificial intelligence is making its way into almost all subsets of the medical field, from research to bioinformatics, to pharmaceuticals, to marketing to automation. 

AI in healthcare is making life easier for healthcare professionals and enhancing patients’ hospital experiences. In the future, it will continue to do so. 

Fun Fact

Even before the world was aware of any covid threat, an Artificial intelligent system, “ blueDot”   developed by a Canadian startup, detected an outbreak of unknown fever/ pneumonia in China. – BY CNBC

Frequently Asked Questions (FAQs)

1. How is artificial intelligence used in healthcare?

AI has revolutionized the healthcare sector. It is much easier now to detect and diagnose diseases. Available data also provides actionable insight for treatment and the best medicine.

2. What are examples of Artificial Intelligence in healthcare?

Chatbots are an example of artificial intelligence in healthcare- they are best with primary care for patients in the comfort of their homes. It also benefits the healthcare worker. It lessens their workload by automation.

3. What are the four uses of AI in healthcare?

1. Automation for monotonous work 
2. Data unstructured analytics and actionable insights
3. Help in research and development across all branches of healthcare
4. Decreases cost of developing medicine

4. What are the main types of AI and their applications in healthcare?

Types of AI:

1. Machine learning 
2. Deep learning
3. Natural language processing 
4. Robotics
5. Rule-based expert systems, etc.

Applications of AI in Healthcare:

1. Automation
2. virtual assistance 
3. Managing data  
4. Proactive diagnosis 
5. Drug and medicine development, 
6. Research, etc.

Liked Our Article? Share it

Leave a Comment

Your email address will not be published. Required fields are marked *

Have a Suggestion? Sent it to us now

Find the right learning path for yourself

Talk to our counsellor