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Artificial Intelligence in Healthcare: Benefits and Applications

Tue Mar 24 2020  ·  

 ·  5 min read
75% of the healthcare industrialists are expected to come up with AI-assisted treatments
Introduction

The year 2020 holds immense potential to take healthcare to immense heights utilizing Artificial Intelligence (AI). Healthcare industry is facing huge demand these days especially with the rise of the population as well as due to the identification of a wide variety of diseases. The industry is now inclined towards taking help from the technology industry to help them with support where the people who regularly demand healthcare facilities can get it without visiting the hospitals regularly. 

 

As per various surveys, approximately 75% of healthcare industrialists will now be working alongside IT professionals by the end of this year. People are now realising that the data stored in their computers or in their racks can bring great outcomes in return. 

 

Healthcare areas that can benefit from AI

  • Disease predictions and treatment

The data that has been collected up till now may be considered of no use but if fed to the machine can become the most useful. Leveraging machine learning (ML) algorithms, one can benefit from it by making future predictions. These future predictions will become handy for future treatment or in the case of an emergency where the doctor will have prior information regarding the best treatment that suits the patient. 

  • Robotic monitoring and reporting

Until now many people have died just because they were monitored or reported at the right time, especially if one considers the cases of asthma, heart failure and diabetic attacks, etc.. But AI has proven that the people need not die just because ‘the time wasn’t right for them’. A trained robot attached with a network can save multiple lives that can monitor and report at the right time. This precautionary step has been availed already by hundreds of hospitals throughout the world.

  • Managing Staff

    • IoT enabled devices have enabled the staff heads to manage the workflow as well as supervision much easier. With a single connection, the task of assigning the work has been made easy; moreover, the healthcare team stays connected.  Hundreds of medical staff working under the same roof remain dedicated and responsible for their assigned duties. 

  • Mobile Applications and Wearables

    • Apart from being fashionable and a trend statement, fitness applications and wearables have encouraged people to stay healthy and aware of their health requirements. With the help of NLP & IoT enabled devices, people can do multiple diagnoses on their own like regular Blood pressure, oxygen and blood sugar level, weight & ECGs. 

  • Research made easy

From a large amount of collected data, researchers by utilizing ML algorithms can analyse and later develop theories which can render support to the medical treatments. Further, it will benefit in the following ways:

    • More precise diagnosis

    • Pattern recognition for treatment

    • A helping hand in molecular research and;

    • In pharmaceutical research/ drug discovery

AI Products & Applications

  • Used by Dermatologists and Oncologists 

Skin related diseases can now be easily tracked with the help of Computer Vision. 

  • Hearing aid

New age wearables are functioning far better than the earlier versions and are favoured highly by ENTs as well.

  • Ingestible Sensors

Pill-sized sensors on being digested will help in detecting any irregularities within the body. 

  • Mood-ables 

Consultants are helping people with these mood-able devices that enhance one’s mood and retain it throughout the day. People with low temperament and anxiety issues can benefit from it. 

  • Healthcare Chart

Reduces the manual work of doctors by maintaining an IoT operated chart that monitors each and every patient. 

  • Personalised Medicine

ML algorithms analyse the data and case history of the patients to help pharmacists produce personalised medicines.   

Companies that have already developed AI-enabled Healthcare Devices & Applications 

List of Companies

 

References

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Tagged with :

Web & App Development
Software Development
Product Recommendation
Mobile App Development
User Experience

FAQs

What are the advantages of AI in healthcare?

Here are some benefits of AI in healthcare:

  • Provides Real-Time Data. 
  • Streamlines Tasks. 
  • Saves Time and Resources.
  • Assists Research.
  • May Reduce Physician Stress.

 

How does AI help in the medical sector?

AI computer systems are extensively used in the medical sector.  Common applications include diagnosing patients, end-to-end drug discovery and development, improving communication between physician and patient, transcribing medical documents, such as prescriptions, and remotely treating patients.

 

How does AI reduce costs in healthcare?

Administrative takes at least 30% of healthcare costs. When AI is leveraged to automate tasks like pre-authorizing insurance following up on unpaid bills and maintaining records.

 

What is an example of AI in healthcare?

Precision medicine is known to be the most valuable example of AI in healthcare. Its foundation relies on the large amounts of gathered from several disruptive technological innovations such as cheap genome sequencing, advance biotechnology, and health sensors used by patients at home.

 

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