Integrating AI Into Optometry
As artificial intelligence ( AI ) is quickly becoming an important tool in early disease detection , Marshall Health is at the forefront of integrating new technologies to help its patients . In fact , one innovative technology they are using is LumineticsCore , an AI system designed to help prevent vision loss in patients with diabetes .
Over 60,000 people go blind from diabetic retinopathy each year , and LumineticsCore combats this disease by providing quick , accurate diagnoses .
Available at two of Marshall Health ’ s Huntington clinics , LumineticsCore takes pictures of the patient ’ s eyes , then analyzes the images for signs of diabetic retinopathy .
Results are accurately given in less than a minute .
This technology , while not replacing a comprehensive eye exam , is an effective way to diagnose diabetic retinopathy . LumineticsCore can help detect the disease in its premature stages , allowing for early interventions before significant damage occurs . Furthermore , this technology increases access to care , helping more patients undergo screening and get the help they need .
Marshall Health is committed to staying at the cutting edge of medicine , ensuring its patients receive the benefits of getting the most advanced and best care possible .
Other challenges include the possibility of job displacement , varying ethical implications , navigating regulations and upto-date education on AI practices .
Despite these challenges , the many benefits of AI will lead to an inevitable continuation of its integration into health care . Beyond its current capabilities , experts expect further transformation of how medicine is practiced in the future .
“ The future of AI in health care promises not only improved diagnostics but also enhanced patient engagement and increased accessibility to care ,” says Spence .
This vision could appear in the form of advanced
telemedicine , superior image analysis and early detection and more personalized medicine as well as the continued streamlining of workflows , drug discovery and IT operations .
“ These future uses of AI differ from its current uses in that they represent a shift toward more proactive and personalized approaches to health care ,” says Bannister . “ By harnessing the power of AI to analyze complex datasets and identify patterns , the future of AI in health care aims to shift from reactive to proactive care , focusing on prediction , prevention and precision medicine .” •
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