Artificial Intelligence Technology Collaborates with Addenbrooke's Hospital to Create Innovative Solution for Newborn Eye Examinations
The UK government has committed £1 million in funding for a groundbreaking technology aimed at addressing threatened miscarriages and improving the accuracy of diagnosing congenital cataracts in newborns. The specific technology and company behind the development remain undisclosed, but the funding is intended to support the growth of the life sciences sector.
The AI technology in question is being developed by a company in collaboration with Cambridge University Hospitals NHS Foundation Trust. The collaboration is focused on integrating advanced AI algorithms into the first commercially-available eye screening units, with the aim of improving the accuracy of diagnosing congenital cataracts in newborns.
The AI feature in the Neocam device, a hand-held newborn eye screening device, will allow for immediate assessment of image quality and provide instant feedback to maternity staff. It could potentially be developed to alert screening midwives or GPs to a possible cataract or other eye abnormality, although this is not the primary objective for the first AI model.
The software engineering team at 42T will use 46,000 de-identified images from the DIvO study to train the machine learning model. The DIvO study is a five-year study involving 30 NHS maternity units across England, aiming to determine if Neocam's digital imaging technology can improve the detection of congenital cataracts compared to the standard ophthalmoscope test.
The development of AI in neonatal and eye-related diagnostics is an active area of advancement. For instance, AI-powered retina trackers that can analyze retinal images with high accuracy in under one second are being developed, enhancing rapid detection of eye diseases such as diabetic retinopathy. Similarly, AI applications for newborn health, such as smartphone-based tools for detecting neonatal jaundice non-invasively, are being developed in India.
The integration of AI into imaging technologies, such as near-infrared imaging for ocular screening, is also becoming more common, improving detection capabilities and potentially aiding in congenital eye defect diagnosis.
While no specific information directly links the "42 Technology AI feature" with newborn eye screening devices or detailed improvements in congenital cataract detection and development processes, the ongoing advancements in AI-based neonatal and ophthalmic diagnostics suggest that "42 Technology" may be working on or incorporating AI features into newborn eye screening devices aimed at improving early detection of congenital cataracts.
The exact nature of how the funding will be used to develop the technology is not specified. However, key points for congenital cataract detection improvements with AI could include enhanced image acquisition and analysis methods, automated screening workflows, integration of deep learning models, use of eye-tracking or retinal scanning technologies, and streamlined development processes.
The AI development project is being funded jointly by 42T and an innovation grant from Addenbrooke's Charitable Trust. The announcement was made in the context of "Insights". If you need detailed technical or development process information specifically about "42 Technology" or congenital cataract AI screening, consulting their official publications or contacting the company directly would be the next best steps. The timeline for the development or implementation of the technology is not specified.
- The AI development project, funded by 42T and an innovation grant from Addenbrooke's Charitable Trust, is aimed at improving early detection of congenital cataracts in newborns, following the trends in the advancement of AI in neonatal and ophthalmic diagnostics.
- The collaboration between the company and Cambridge University Hospitals NHS Foundation Trust involves integrating advanced AI algorithms into the first commercially-available eye screening units, with the aim of improving the accuracy of diagnosing congenital cataracts in newborns.
- The integration of AI into imaging technologies, such as near-infrared imaging for ocular screening, is a growing area of focus in the medical-conditions sector, specifically aimed at aiding in congenital eye defect diagnosis and improving the accuracy of diagnoses.
