By Kritima
AI has dominated the internet world. AI now plays a significant role in our daily lives in the current day. It is difficult to imagine life without computers. Every aspect of our everyday life that involves technology requires a computer. Making computers smarter becomes crucial to making our lives easier. And same goes for health care too. Due to the digitalization and modernization in health care, artificial intelligence in the eye care industry is catching people’s eyes.
If you’re thinking about how artificial intelligence is used in eye care and why is it important, then you need to check out this article till the end!
Here we present you an overview of artificial intelligence in eye care
What is Artificial Intelligence?
Artificial intelligence is machines’ capacity to carry out various tasks with assistance from people. Machines can learn, solve issues, make plans, think, etc. with the aid of artificial intelligence.
As an illustration, artificial intelligence is the replication of human intelligence by robots. Artificial intelligence is a field of technology that is developing quickly each day.
It is anticipated that in the not-too-distant future, artificial intelligence will dramatically alter human life and, most likely, put an end to all of the world’s difficulties by resolving the key issues.
The trend of Artificial Intelligence Use in Eye Care?
“Is AI the FUTURE?”
“Yes. It is”
Indeed, The future is AI. It is a boon to humankind and is used every day.
According to the world’s popular statistical website, Statistica, the market for artificial intelligence (AI) in healthcare was estimated to be valued at approximately 11 billion dollars in 2021. The market for AI in healthcare was expected to reach over 188 billion dollars in value by 2030, growing at a compound annual growth rate of 37% between 2022 and 2030.
Moreover, Many healthcare officials and practitioners have already started adopting AI in healthcare. Like, more than 4.7% of participants in a recent survey done by fromtiersin.org said they have already utilized AI in their eye care.
Importance of Artificial Intelligence in Eye Care
Improved accuracy, decision-making, and efficiency are the main advantages of AI in the healthcare industry since they may free humans from tedious, repetitive activities and maximize their unique value in the workforce.
One of the most fascinating areas of medicine where AI is poised to make a significant influence is eye health. The difficult and intricate process of integration into health care has not yet been accomplished.
To promote improved access and relieve demand on the health service, initiatives that permit task shifting and more economical, local services, such as DR grading at primary health institutions, are required. But, regardless of all the requirements artificial intelligence brings lots and lots of benefits to eye care.
- AI is assisting with diagnosis. When assessing medical photos, AI-driven systems may provide a higher level of objectivity and precision.
- New AI technologies, like those from Google’s DeepMind, provide more than simply a diagnosis; they also provide an explanation for it. AI is becoming a healthcare partner
- Healthcare professionals can save time thanks to AI. For example, AI can mark up data from two-dimensional image scans to create three-dimensional models of ophthalmologic malignancies, freeing up time for medical professionals to undertake more complex duties.
- AI is enabling patients to seek care in novel ways. AI-powered hardware and software solutions are now shown to be more accurate than expert ophthalmologists at diagnosing conditions.
Implementation of Artificial Intelligence in Eye Care
AI can be used to screen, diagnose, and track patients with severe eye diseases in the anterior and posterior segments of primary care using various ocular images.
1. Detection of eye illness
By examining retinal scans, deep learning (DL) algorithms in ophthalmic pictures can detect glaucoma, hemorrhage, and vascular defects. In contrast to ophthalmology specialists, DL architectures are used to train to recognize a range of eye-related disorders. This helps in increasing diagnosis rates with clinically acceptable performance.
Additionally, numerous automated medical devices for the detection and analysis of eye-related diseases have been effectively used in clinical settings as hardware equipment and measuring tools that can be integrated with AI algorithms.
2. Image analysis
Additionally, numerous automated medical devices for the detection and analysis of eye-related diseases have been effectively used in clinical settings as hardware equipment and measuring tools that can be integrated with AI algorithms.
3. Perform vision screening
The use of photo screeners and autorefractors, for example, can be used to perform vision screening. The former allows us to identify risk factors for developing amblyopia, such as media opacity, ocular alignment, and ptosis, while the latter can find risk factors and eye conditions that may result in decreased vision and amblyopia.
Artificial Intelligence Development: A Boon in Eye Care
Early detection and diagnosis of eye illnesses are essential for preventing vision loss and enhancing the quality of life, allowing for the development of an effective management strategy. Similarly, A dramatic shift in the manner of illness diagnosis and a considerable clinical impact could result from the integration of artificial intelligence (AI) in ophthalmology.
Today, Artificial intelligence development has been able to succeed in an in-depth study of the eye. Such as:
1. Vision and Refractive Error
The number of new machine learning-based diagnostic applications for vision correction, refraction, surgery, and post-surgery management has grown quickly.
The wavefront aberrometer is an example. To generate final prescriptions for eyeglasses, a new software called Iterative Dichotomize Three (ID3) analyzes refractive factors such as tear production, lenticular powers, corneal curvatures, and age.
2. Cornea And Ocular Surface
For the early detection and acceleration of disorders like keratoconus and Terrien’s corneal abnormalities, an AI system has been created to detect corneal abnormalities utilizing the principle of pattern detection through corneal topography.
Similarly, Researchers are analyzing and diagnosing early patterns for dry eye problems using machine learning approaches, the majority of which will be powered by AI software and AI robotics, respectively.
3. Retina
For diagnosing and rating the severity of diabetic retinopathy, AI has now emerged as a significant clinical tool. Today, machine learning is being utilized to quantify the neovascular lesions in big clinical spectral-domain optical coherence tomography datasets and predict the best correctable vision with anti-VEGF therapy in age-related macular degeneration.
4. Glaucoma And Neuro Ophthalmic Disorders
Machine learning is able to recognize glaucomatous changes thanks to AI-based software that compares thousands of photos of healthy and glaucomatous optic nerve heads. Likewise, Machine learning techniques can considerably enhance the ability to distinguish between healthy and pre-perimetric glaucoma visual fields.
5. Immunotherapy, Genetics, And Stem Cell Therapies
Robotics and AI technology have recently advanced in the fields of genetic medicine and health. AI can be used to diagnose cancer, treat it, develop immunotherapies, and genetic treatments, and use stem cells to treat different congenital and acquired eye problems that lead to blindness.
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Summing up on Artificial Intelligence in Eye Care
Without a question, technological progress is proven to be a useful method for the advancement of humanity. The dude wants to live on the moon right now. When super artificial intelligence is reached, artificial intelligence will offer enormous technical assistance. A growing area of artificial intelligence is robotics, which has the potential to make significant contributions.
The skilled robots could be launched into space to collect various samples for experiments and activity monitoring. Overall, it can be concluded that artificial intelligence will be beneficial to humans if used properly and positively. Even if it’s the eye care sector!
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