The AI-based technologies are expected to affect not only patient care but also enhance the work of healthcare professionals and other medical staff.
“With early detection, healthcare providers can take proactive measures to prevent or manage the disease, leading to better patient outcomes and reduced healthcare costs for patients.” AI image analysis algorithms can detect early signs of eye diseases such as diabetic retinopathy and age-related macular degeneration as well as identify risks of glaucoma. These are three of the most common causes of irreversible vision loss.
“This device is capable of visually guiding the end-user to the correct point for an optimal window of the heart, along with auto-capturing capabilities and an AI automated measuring and reporting system. “While AI cannot replace the expertise of a radiologist, it can be used to identify potential abnormalities, providing quantitative measurements and reducing time spent on routine tasks, in order to allow radiologists to focus on more complex cases and clinical decision making.”
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