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MedTech Outlook | Thursday, December 01, 2022
Applying digital tools to ophthalmology improves diagnosis and streamlines treatment processes.
FREMONT, CA: In the health sector, many specialities are digitalizing their procedures and administrative tasks to streamline their practice and make complex processes risk-free. The ophthalmology specialization is diversifying its procedures to optimize treatment and aftercare. Adopting technological solutions can better prevent vision loss and potentially cure impairments.
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Integrating digital technologies in the field of ophthalmology is opening new diagnostic solutions and advances. The following developments are enhancing the quality of vision care:
Wearable technology: Digital technology is enhancing use cases in many sectors. Vision care is adopting recent technological developments to improve medical care. The specialized field of eye care through technology is aiding in preventing, treating, and recovering patients from vision impairments. Ophthalmological tools in vision care are developing solutions for microsurgeries and other treatments through nanotechnology, artificial intelligence (AI), artificial retinas and robotic cataract surgery.
Mobility: Mobile eye care technology makes eye care accessible to patients unable to travel to institutions for treatment. Through this technology, ophthalmologists can package equipment into smaller units. Mobile eye care technology allows doctors to travel to different locations that do not have access to eye care for evaluations.
Wearables: Wearable technologies offer tracking features and notifications. Patients connected to their wearables are monitored by their doctors. Doctors can manage vision care from a distance. Wearables are now designed as eyeglasses. Researchers are developing smart contact lenses. This technology can aid in the treatment of eye injuries and congenital diseases.
Robotic surgery: Technological advances in eye surgeries have evolved from scalpels to lasers. Robotic surgery optimizes surgical processes reducing risks and improving accuracies. It decreases the chances of complications, shortens recovery time, and improves results. It improves precision and is more useful in micro surgeries.
Artificial intelligence-based Screening: Practitioners increasingly rely on ai-based screening to treat diabetic retinopathy. AI-based systems assist in laser cataract eye surgery for vision improvement and replacing cataracts with new lenses. Using a wide range of data, ai-based systems can identify risk symptoms and indicators of diabetic retinopathy.
Artificial retinas: Artificial retinas contain electrodes that replace damaged rods and cons due to macular degeneration and diabetes.
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