Listen on Apple Podcasts
Listen on Google Podcasts
Listen on Google Podcasts
Listen on Google Podcasts
Deep Tech Bytes on Google News
Free Mock Test
DeepTech Bytes
No Result
View All Result
  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Python
  • Blockchain
  • Big Data
  • Crypto
  • NFT
  • News
  • More
    • Startups
    • Language R
    • Tableau
    • Books
    • Technology
  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Python
  • Blockchain
  • Big Data
  • Crypto
  • NFT
  • News
  • More
    • Startups
    • Language R
    • Tableau
    • Books
    • Technology
No Result
View All Result
DeepTech Bytes
No Result
View All Result
Home Artificial Intelligence

Could Artificial Intelligence Help Identify Your Risk To Serious Illness And Disease

Tarun Khanna by Tarun Khanna
March 26, 2022
in Artificial Intelligence, Technology
Reading Time: 5 mins read
405
0
artificial-intelligence-healthcare
Share on LinkedInShare on FacebookShare on TwitterShare on Whatsapp

At first glance, it would seem that the human body is too complicated for artificial intelligence (AI) to comprehend. But Artificial Intelligence  is quickly becoming one of the most critical technologies in healthcare with its ability to diagnose and predict disease.

Some interesting examples include using machine learning algorithms to predict your risk of heart attack or stroke, spotting undiagnosed diabetes in emergency room patients, and synthesizing a virtual endocannabinoid system using artificial neural networks. It’s not surprising that the number of AI providers has grown four-fold over the past five years; this is expected to continue as insurers and payers move away from fee-for-service payments for healthcare services towards more value-based models.

artificial intelligence health

(Image Source: Forbes)

But it’s not just hospitals and healthcare providers who use AI to make predictions about patients’ health. Insurance companies and telemedicine providers such as labs and clinics use AI to determine their clients’ risk of developing costly diseases such as diabetes, heart attack, stroke, or cancer.

A study out of IBM found that AI can outperform pathologists when predicting which type of cancer will be diagnosed in a patient with a particular malignancy. AI can correctly predict 97% of cases vs. 94% for pathologists for a person with lung cancer.

Another study identified five biomarkers that are associated with patients who are at risk for diabetes and CVD. The biomarkers were measured in EDTA plasma to determine each subject’s risk. Using a multivariate hierarchical model, it was found that the subjects who tested positive for all five biomarkers had an 85% chance of having diabetes and a 50% chance of CVD. Of the subjects who tested positive for four out of five biomarkers, 80% had diabetes, and 43% had CVD. And those who tested positive for three out of five biomarkers had a 60% chance of having diabetes and a 32% chance of CVD. And finally, those who tested positive for two out of five biomarkers had a 36% chance of having diabetes and a 22% chance of CVD.

Biological traits vary from person to person, which means that each individual can be at risk for severe illness and disease due to their unique genetic makeup. But there is no one-size-fits-all test for detecting whether you are at risk for severe illness and disease. Your health insurance provider would need to create a unique risk profile specific to your genetic makeup; this would help determine what types of prevention, treatment, and services they would offer you based on the amount they are willing to pay out over your lifetime.

Table of Contents

  • AI to predict stroke and heart attack risk by scanning retinas
  • How AI can help to spot deadly cancer lurking in breast tissue?

AI to predict stroke and heart attack risk by scanning retinas

One of the biggest problems in medicine is determining who is at an increased risk for a stroke or heart attack. The reasons are many, but it might have to do with people not wanting to get screened or not knowing how important it is. In addition, health insurance companies often have one-size-fits-all rules when it comes to caring and thus cannot consider which needs extra care. Physician groups cannot be trusted either as there are often have financial incentives to keep patients in their practice as long as possible. The problem is that it has become increasingly easy for patients to self-diagnose and self-treat based on information on the internet.

artificial intelligence health

(Image Source: Towards Data Science)

Thus, we are left with a single source used by many insurance companies to determine who is at risk: Electronic Medical Records (EMR). EMRs can be inaccurate as they might not be well-maintained, or there might be a lack of information. What’s worse is that the data isn’t available in critical areas such as patient fitness and wellness. And even if it were, doctors would have to go back through records to look for clues that a patient had an increased risk of heart disease or stroke.

Also read: Why is Artificial Intelligence the Future of Growth?

But artificial intelligence has the potential to change all of this. Researchers from the UK have developed a new AI-based technology that could prevent up to 80% of heart attacks and strokes if implemented as part of a standard health check-up. The new AI model scans retinas and looks for signs relating to cardiovascular disease (CVD). The team, who presented their research at a scientific meeting organized by the American Heart Association, said they offer their patented AI technology to some hospitals in the United Kingdom.

The researchers used an AI machine learning technique called ‘deep learning’ to look for early signs of CVD in over 5,000 eyes by scanning their retinas. In their testing, the AI detected early signs of CVD with 90% accuracy. In trials using biopsy tissues from patients who had previously suffered from a heart attack, stroke, or peripheral vascular disease (PVD), the AI accurately detected these conditions with 80% accuracy.

Researchers used scans of retinas taken ten years before to teach their deep learning algorithm how to recognize these early signs in patients’ eyes. The algorithm was trained on hundreds of thousands of data points. After training, it was able to see patterns or differences between cases and controls for the first time. “This is a breakthrough,” said Dr. Sian Harding, Professor from the University College London Institute of Ophthalmology. “It offers an exciting prospect for the future of early diagnosis and could transform future diagnostic testing.”

Once the AI has been programmed to look for potential signs of CVD in retinal scans, EMRs could have far more accurate results in determining a patient’s risk profile.

Also read: Top Artificial Intelligence Technologies

How AI can help to spot deadly cancer lurking in breast tissue?

Scientists have uncovered a new way to help doctors identify breast cancer not visible on mammograms or other medical scans. Their study found that a new deep learning AI model can detect cancer cells in breast tissue that are too small to be seen with standard ultrasound technology. It has been said that the hope is that AI-enabled devices can be used to spot cancer in the earliest stages before it spreads to the rest of the body. It can also detect other conditions that go undetected or misdiagnosed. It is believed that this new AI technology will help radiologists flag abnormalities in tissue, which an expert can then review for further review and diagnostic procedures.

Tags: artificial intelligence
Share41Share234Tweet146Send
Previous Post

Machine Learning Life Cycle Management

Next Post

Introducing Metaverse: A Glimpse into its Crucial Characteristics

Tarun Khanna

Tarun Khanna

Founder DeepTech Bytes - Data Scientist | Author | IT Consultant
Tarun Khanna is a versatile and accomplished Data Scientist, along with expertise in IT Consultancy as well as Specialization in Software Development and Digital Marketing Solutions.

Related Articles

Machine-Learning-Role-In-Paraphrasing-Tool
Machine Learning

Machine Learning Role In Paraphrasing Tool To Avoid Plagiarism

June 9, 2022
Virtual-and-Augmented-Reality-Using-AI-Algorithms
Artificial Intelligence

Micro-LEDs: An Innovation – Driven Future of Virtual and Augmented Reality Using Artificial Intelligence Algorithms

June 6, 2022
Big Data

How SSL Encryption Secures Big Data In Cloud Computing?

April 14, 2022
How-To-Kick-Start-Your-Machine-Learning-Career
Machine Learning

How To Kick Start Your Machine Learning Career?

April 14, 2022
Artificial Intelligence

Patient Verification Process Explained – The Anti-fraud Pill

March 31, 2022
Natural Language Processing
Data Science

Natural Language Processing In Finance- Acing Digitization Game

March 31, 2022
Next Post
metaverse-introduction

Introducing Metaverse: A Glimpse into its Crucial Characteristics

Leave a Reply Cancel reply

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

I agree to the Terms & Conditions and Privacy Policy.

Trending Articles

Machine Learning Role In Paraphrasing Tool To Avoid Plagiarism

by Tarun Khanna
June 9, 2022
0
Machine-Learning-Role-In-Paraphrasing-Tool
Machine Learning

AI and ML are two of the critical pillars of paraphrasing. So, how exactly does it work in avoiding plagiarism?...

Read more

Micro-LEDs: An Innovation – Driven Future of Virtual and Augmented Reality Using Artificial Intelligence Algorithms

by Deepti Tayal
June 6, 2022
0
Virtual-and-Augmented-Reality-Using-AI-Algorithms
Artificial Intelligence

Various industrial players are spending massive amounts on developing miniaturized, cost-effective, and energy-efficient high-resolution displays that have laid the groundwork for future...

Read more

How SSL Encryption Secures Big Data In Cloud Computing?

by Tarun Khanna
April 14, 2022
0
Big Data

The State of Cloud Computing Cloud computing is one of the few disruptive technologies that have completely revolutionized how the...

Read more

How To Kick Start Your Machine Learning Career?

by Tarun Khanna
April 14, 2022
1
How-To-Kick-Start-Your-Machine-Learning-Career
Machine Learning

Machine learning is a part of Artificial Intelligence (AI) that enables computer systems to auto-update and predict outcomes through data without...

Read more

Patient Verification Process Explained – The Anti-fraud Pill

by Tarun Khanna
March 31, 2022
0
Artificial Intelligence

Know Your Patient online solutions are what the healthcare industry needs the most in this digital era to ensure compliance,...

Read more

Natural Language Processing In Finance- Acing Digitization Game

by Vatsal Ghiya
March 31, 2022
0
Natural Language Processing
Data Science

Natural language processing in finance can extract and analyze unstructured data by using OCR, sentiment analysis, named entity recognition, and...

Read more

Working Of Machine Learning In AI Paraphrasing Tools

by Tarun Khanna
March 31, 2022
0
AI Paraphrasing Tools
Machine Learning

Working On Machine Learning In AI Paraphrasing Tools Machine learning is a key ingredient in content creation today. So, what...

Read more

Initial Coin Offering (ICO) Guide

by Tarun Khanna
March 30, 2022
0
initial-coin-offerings-ICO
Crypto

What is an Initial Coin Offering (ICO), and how does it work? An initial coin offering is the equivalent of...

Read more

Introducing Metaverse: A Glimpse into its Crucial Characteristics

by Tarun Khanna
March 26, 2022
0
metaverse-introduction
Blockchain

Summary- Metaverse is now being discussed among tech companies of all sizes due to its endless possibilities. Businesses are buying virtual...

Read more

Could Artificial Intelligence Help Identify Your Risk To Serious Illness And Disease

by Tarun Khanna
March 26, 2022
0
artificial-intelligence-healthcare
Artificial Intelligence

At first glance, it would seem that the human body is too complicated for artificial intelligence (AI) to comprehend. But...

Read more

About DeepTech Bytes

Deep Tech Bytes is a global standard digital zine that brings multiple facets of deep technology including Artificial Intelligence (AI), Machine Learning (ML), Data Science, Blockchain, Robotics,Python, Big Data, Deep Learning and more.

Quick Links

  • About Us
  • Contact Us
  • Write for us
  • Submit Startups
  • Privacy Policy
  • Terms of Service
  • Sitemap

Topics

  • Artificial Intelligence
  • Blockchain
  • Data Science
  • Big Data
  • Deep Learning
  • Language R

Topics

  • Python
  • Machine Learning
  • News
  • Startups
  • Tableau
  • Technology

Connect

For PR Agencies & Content Writers:

connect@deeptechbytes.com

Follow Us

Facebook Twitter Linkedin Instagram

© 2022 Designed by AK Network Solutions

No Result
View All Result
  • Data Science
  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Python
  • Blockchain
  • Big Data
  • Crypto
  • NFT
  • News
  • More
    • Startups
    • Language R
    • Tableau
    • Books
    • Technology

© 2022 .All rights reserved.DeepTech Bytes

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
This website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy and Cookie Policy.