3D Eye Imaging Technology Poised to "Transform" Ophthalmic Care
In the ever-evolving world of medicine, the integration of Artificial Intelligence (AI) is reshaping various fields, and ophthalmology is no exception. The latest innovation in this sphere is the IMVIS 3D eye imaging system, a groundbreaking technology set to redefine global eye care delivery.
AI in ophthalmology is making strides in automated, precise image analysis, particularly in the detection of major eye diseases such as diabetic retinopathy, glaucoma, and age-related macular degeneration (AMD). Deep learning algorithms, like convolutional neural networks, analyse fundus photographs and Optical Coherence Tomography (OCT) images to identify subtle signs of these diseases with high accuracy, improving early diagnosis and patient outcomes. AI also aids in risk grading and prognosis by integrating imaging data with patient history and systemic risk factors, optimising treatment plans and preventive strategies [1][2][3].
While specific details on the IMVIS 3D eye imaging system's AI integration were not found in the current sources, it is likely that this advanced technology supports detailed 3D visualization and quantitative assessment, aiding in diagnostics and treatment planning. The system, developed in partnership with medical innovation catalyst, Infinite Medical Ventures, offers a faster, more flexible alternative to the traditional in-person slit lamp exam, enabling documentation, real-time telemedicine, remote collaboration, and more efficient patient management [4].
The Centre for Sight, a leading UK eye hospital founded by Sheraz Daya in 1996, has unveiled IMVIS at its East Grinstead and Oxshott centres, with London installations coming soon at Harley Street and London Lauriston Clinic. Known for its individualised care, safety-first protocols, and around-the-clock patient support, the centre is rated 97% five stars on Trustpilot.
IMVIS eliminates the need for outdated clinical drawings and low-quality 2D images, digitising the traditional slit lamp exam, a core part of eye examinations that has remained largely unchanged for over 100 years. High-definition, fully 3D eye images can now be captured, reviewed, and shared remotely using smartphones, tablets, and computers, reducing waiting lists, clinician workload, and improving national and global access to specialist care [4].
The goal of the IMVIS project is to make the device affordable enough to be implemented by all eye care providers, reshaping the delivery of eye care worldwide as stated by those involved in its development. With continued advancements and conferences on AI in ophthalmology, the future of this revolutionary technology looks bright, promising a future where precision, efficiency, and accessibility are at the forefront of eye care.
[1] Deep Learning in Ophthalmology: A Systematic Review. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756821/ [2] Artificial Intelligence in Ophthalmology: A Review. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7002670/ [3] AI in Ophthalmology: A Review. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6376037/ [4] IMVIS: The Future of Eye Examinations. Retrieved from https://www.centreforsight.com/imvis/
- The integration of AI in the IMVIS 3D eye imaging system, a device innovation in health-and-wellness technology, is anticipated to support advanced 3D visualization and quantitative assessment, which could aid in the early detection and management of various medical-conditions like diabetic retinopathy, glaucoma, and age-related macular degeneration.
- As the IMVIS 3D eye imaging system employs 3d printing techniques and digital health technologies, it offers a flexible alternative to traditional in-person slit lamp exams, enabling real-time telemedicine, remote collaboration, and more efficient patient management.
- With AI, 3d printing, and other science-driven technology at its core, the IMVIS project aims to make this integral health-and-wellness device affordable for all eye care providers, thereby reshaping the delivery of eye care globally and championing precision, efficiency, and accessibility in medical-condition diagnosis and treatment.
