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.
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.
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.
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.