Free Quiz
Write for Us
Learn Artificial Intelligence and Machine Learning
  • Artificial Intelligence
  • Data Science
    • Language R
    • Deep Learning
    • Tableau
  • Machine Learning
  • Python
  • Blockchain
  • Crypto
  • Big Data
  • NFT
  • Technology
  • Interview Questions
  • Others
    • News
    • Startups
    • Books
  • Artificial Intelligence
  • Data Science
    • Language R
    • Deep Learning
    • Tableau
  • Machine Learning
  • Python
  • Blockchain
  • Crypto
  • Big Data
  • NFT
  • Technology
  • Interview Questions
  • Others
    • News
    • Startups
    • Books
Learn Artificial Intelligence and Machine Learning
No Result
View All Result

Home » How Artificial Intelligence Is Helping To Avoid Blindness ?

How Artificial Intelligence Is Helping To Avoid Blindness ?

Tarun Khanna by Tarun Khanna
August 26, 2021
in Artificial Intelligence, Technology
Reading Time: 3 mins read
0
artificial-intelligence-to-avoid-blindness
Share on FacebookShare on TwitterShare on LinkedInShare on WhatsApp

Also Read:

Meta discloses AI that thinks and sees the world like humans

‘Godfather of AI’ now fears it’s unsafe. He has a plan to rein it

Anthropic launches Claude AI models for US national safety

Tackling hallucinations: MIT spinout teaches AI to confess when it’s clueless

Artificial intelligence (AI) cites computer systems that can execute a task by learning from data or specific programming. Artificial intelligence (AI) has been utilized for decades in numerous engineering, biomedical research, and computer science.

Recently, Artificial Intelligence has been enrolled in the medical sciences as a tool to strengthen patient care. It is achieved by developing an “artificial vision system” in which an image is captured and processed into an image that patients can understand.

An artificial vision system may consist of one robot equipped with a camera and several sensors to detect the position of the patient’s face and limbs. The robot might also include a mechanism for interpreting human actions such as blinking or touching.

When combined with a computer vision algorithm and machine learning software, this system could translate a patient’s visual cues into some form of meaningful information useful to caregivers.

For example, a system could be configured to recognize and analyze simple hand gestures or other facial expressions (such as a smile) or eye movements.

A visual interface such as this would allow patients to communicate in more familiar terms with doctors and nurses, particularly if the patient cannot speak.

Artificial vision systems have been created for various purposes such as entertainment, sight-restoration, medical research, and education.

Several different approaches are being used today to create such systems. One approach uses Kinect depth sensors and custom algorithms to estimate hand position in 3D from video alone.

Another approach uses a similar system but with an additional infrared sensor for improving the accuracy of hand position estimation.

A third approach uses eye-trackers to measure pupil movements and automated computer vision algorithms for processing video data to recognize the position of the patient’s eyes.

Several non-invasive contact lenses have been developed recently to improve a wearer’s vision in dim lighting conditions by placing an image from their eye onto the lens. Each lens is fitted individually to each eye. This approach is hoped to eliminate the need for glasses in young adults.

Table of Contents

Toggle
    • Also Read:
    • Will AI take your job? The solution could hinge on the four S’s of the technology’s benefits over humans
    • AI Without Rules Is a Global Risk, Warns leading Expert
    • The AI blockchain: What is it in really?
    • AI’s influence in the cryptocurrency industry
  • Artificial Intelligence For Eye Care App
  • Diabetic Retinopathy Detection
  • Conclusion

Artificial Intelligence For Eye Care App

Doctors are even utilizing artificial intelligence (AI) to observe and diagnose eye ailments. The Artificial Intelligence Eye Test is equipment that can employ an eye image to observe circumstances such as macular degeneration, glaucoma, diabetic retinopathy, and cataracts.

Also, Artificial Intelligence is being used in the healthcare enterprise to assist medical professionals in making diagnoses of patients rapidly. Artificial Intelligence monitors can assess and process information in a quick manner.  

GlaucomaCalc, which is web-based equipment and an Artificial Intelligence application, has been established by a committee of scientists to provide more detailed and immediate results. It is accomplished by using an Artificial Intelligence algorithm to process medical imaging data from retinal scans, illustrating the information to the user intuitively and simply.

Also read: Indian Startups Using Artificial Intelligence in Healthcare

Diabetic Retinopathy Detection

Diabetic retinopathy (DR) is an ailment that implicates the blood vessels in the eyes and can steer to further difficulties such as eye damage and even blindness. It is one of the prominent reasons for blindness in working-age Americans. Thus, the proficiency to observe signs of DR as timely as possible and in a productive way could have a massive effect on curbing blindness. 

One study has demonstrated that Artificial Intelligence algorithms can automatically observe DR in retinal images with an 83-96 percent accuracy rate.

71 vision centers are now employing these Artificial Intelligence algorithms to help provide rapid and more precise diagnoses for patients with DR.However, the technology is far from accurate, as it cannot automatically specify all possible DR ailments.

Also read: Artificial Intelligence – A Boon for Covid-19 Vaccine

Conclusion

Robots with artificial intelligence are becoming more common in hospitals and nursing homes. Many of these robots are equipped with cameras to help identify and track objects, such as bedrails or avoid crutches.

Rather than moving around the hospital on their own, they can program these robots to deliver items that they find, including certain drugs or intravenous fluids.

The goal is to keep patients safe while providing efficient care that requires little human intervention. Some robotic devices have been used for people with dementia; a nurse with remote control can move the robot around a patient’s room to see it and interact with it without having to leave their bed.

Tags: AI in DiagnosisAI startups in healthcareAI technologyartificial intelligenceavoid blindnesshealthcare AItechnology
ShareTweetShareSend
Previous Post

Top three Online Data Science Courses to Boost your Career

Next Post

How Artificial Intelligence Helps In Healthcare Medical Diagnosis ?

Tarun Khanna

Tarun Khanna

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

Related Posts

This Ultrasonic Tech Can Charge Devices Through Water
Technology

This Ultrasonic Tech Can Charge Devices Through Water

June 2, 2025
China’s DeepSeek Upgrades Its R1 AI Model, Intensifying Global Competition
Artificial Intelligence

China’s DeepSeek Upgrades Its R1 AI Model, Intensifying Global Competition

May 30, 2025
Brain-Inspired AI Learns To See Like Humans in Stunning Vision Breakthrough
Technology

Brain-Inspired AI Learns To See Like Humans in Stunning Vision Breakthrough

May 27, 2025
What is Codex, OpenAI’s latest AI coding agent capable of multitasking?
Artificial Intelligence

What is Codex, OpenAI’s latest AI coding agent capable of multitasking?

May 19, 2025
Next Post
artificial-intelligence-in-healthcare

How Artificial Intelligence Helps In Healthcare Medical Diagnosis ?

Leave a Reply Cancel reply

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

7 + 1 =

TRENDING

Strength in Numbers: Ensembling Models with Bagging and Boosting

Strength in Numbers: Ensembling Models with Bagging and Boosting

Photo Credit: https://towardsdatascience.com/

by Tarun Khanna
May 20, 2025
0
ShareTweetShareSend

Initial Coin Offering (ICO) Guide

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

Will The World Be In An Unstable Position Because Of Digital Currency And AI?

World-Be-In-An-Unstable-Position-Because-Of-Digital-Currency-And-AI
by Tarun Khanna
May 21, 2021
0
ShareTweetShareSend

Age Verification – For Improved Client Experience and Minors Safety

age-verification-artificial-intelligence
by Tarun Khanna
January 20, 2022
0
ShareTweetShareSend

Empirical Problems Of Machine Learning

Problems Of Machine Learning
by Tarun Khanna
February 13, 2021
0
ShareTweetShareSend

Top three Online Data Science Courses to Boost your Career

career-in-data-science
by Tarun Khanna
August 17, 2021
0
ShareTweetShareSend

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.
Deep Tech Bytes on Google News

Quick Links

  • Home
  • Affiliate Programs
  • About Us
  • Write For Us
  • Submit Startup Story
  • Advertise With Us
  • Terms of Service
  • Disclaimer
  • Cookies Policy
  • Privacy Policy
  • DMCA
  • Contact Us

Topics

  • Artificial Intelligence
  • Data Science
  • Python
  • Machine Learning
  • Deep Learning
  • Big Data
  • Blockchain
  • Tableau
  • Cryptocurrency
  • NFT
  • Technology
  • News
  • Startups
  • Books
  • Interview Questions

Connect

For PR Agencies & Content Writers:

connect@deeptechbytes.com

Facebook Twitter Linkedin Instagram
Listen on Apple Podcasts
Listen on Google Podcasts
Listen on Google Podcasts
Listen on Google Podcasts
DMCA.com Protection Status

© 2024 Designed by AK Network Solutions

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

© 2023. Designed by AK Network Solutions