Role of AI in the Ophthalmology Industry
When a deadly pandemic like corona grasped the globe, a realization of incorporating improved advanced technology in medical processes was elevated. Throughout the world, scientists are investing days and months in amalgamating technology and innovations to take the health sector to new adaptations for better human race survival.
Advancing tech like Machine learning, Artificial intelligence, Robotics is gaining gravity in the medical sector. Specialized medical fields such as cardiology, ophthalmology, hepatology are finding new ways of curing and diagnosing diseases by mustering tech and medical practices. Medical scientists look for new drugs, new diagnostic methods, easy, painless, and possible treatment methods for taking health facilities to new dimensions.
Such an example of an alliance of tech and medical principles is the role of Artificial intelligence in Ophthalmology.
Ophthalmology and artificial intelligence union
Ophthalmology is the medical field dealing with eye disorders or studies human eyes in detail. The field is continuously in research as of today’s more than usual pollution levels, ubiquitous irritants have increased the eye diseases several folds.
Artificial intelligence can work as a forefront player in the way eye doctors have been dealing with and diagnosing diseases for years. It can aid in diagnosing, treating, and even in generating drugs for eye problems as it deciphers medical complications and provides insights into the cause and stages of diseases.
AI is generating patterns for eye diseases: Deep Learning
Humans are equipped with a brain with master abilities to handle multiple and complicated tasks together. But when data of millions of people or subjects need to be assayed, we lag in accuracy and speed.
Better to leverage Artificial intelligence for data and insight learning. This is known as Deep Learning AI that can process and interpret massive amounts of data without compromising on accuracy and speed. When scientists or medical practitioners study disease for its causes, symptoms, and possible treatment methods. They generally study a set of 30, 50, or 100 patients. Generally, a number whose data can be interpreted by humans easily and rapidly.
But, by building AI-based software, we can run tests on millions of subjects to get deeper and better insights into medical conditions. This can bring new revolutions in eye treatments, drugs, and nevertheless symptoms and causes as well. These AI-driven efficient data interpretations can also make us ready for future medical conditions that may arise due to changing lifestyles, habits, and pollution.
AI in diagnosing diseases: a study of Diabetic retinopathy through AI
Human detection methods of diseases have been in action since time memorial. It’s time we turn the time’s wheel in the right direction and imbibe today’s robust techniques and technologies to diagnose diseases at an early stage. This can aid in providing forefront treatment to patients thereby mitigating the cases of severe to last stage diseases. Diseases like diabetes retinopathy, myopia, Glaucoma; the cause of irreversible blindness are some of the diseases with AI-driven diagnostic methods.
An eye condition called diabetic retinopathy, with AI-powered methods can now be diagnosed and identified at an early initiation. In DR (diabetic retinopathy), elevated incorporation of photography, image recognition, and telemedicine have improved the screening and diagnosing process.
In 2018, the first autonomous AI-powered system was approved by the FDA. The system known as the IDX-DR camera was built with specifically tested AI algorithms to identify the presence of DR in patients from fundus photographs only. The system was efficiently designed to take higher-resolution better photographs to understand the progress of the disease and confirmation of the condition.
Though the system has some flaws in starting experiments, the algorithm is continuously being updated and improved for better and better results.
Not only DR, but AI is proliferating in the studies of screening cataracts and myopia as well.
AI: a stepping ladder for future medical practices
Human diseases and viral, bacterial, or fungal outbreaks are becoming common. All these are urging the human race to face difficulties. However, optimum and propitious advances in the medical field can strengthen our preparation. The regular muster and implementations of advancing technology and techniques bring new advancements to medical facilities over the globe.
With the global rate of myopia, blindness, diabetic retinopathy increasing, ophthalmology practitioners approach different roots of technology to find solutions. AI, robotics, Deep learning are some of the promising solutions available.
But medical health specialists, doctors are irreplaceable. But a hybrid model infused with AI, data operations, and reliable and advanced medical practices seems to be a promising alternative for robust and innovative growth in medical operations.
Aarsh, COO & Co-Founder, Gravitas AI