SEOUL – KT, a leading telecommunications company in South Korea, has partnered with a national university to research artificial intelligence-based medical diagnostic assistant algorithms. Medical AI will analyze images and big data through deep learning and develop new diagnostic solutions.
Algorithms are basically an instruction manual that contains a list of actions that an AI should take in certain situations. AI in medical diagnostics has been the subject of much research. Based on a huge volume of medical data, an AI solution would help doctors analyze and diagnose diseases faster. Commercialized AI-based solutions are used to detect cancer and cardiovascular disease.
KT partnered with Inha University in the western port city of Incheon to research an AI algorithm that would help doctors make decisions and increase work efficiency. They would develop a solution to help doctors diagnose thyroid nodules.
Thyroid nodules are solid or fluid-filled lumps that form in a patient’s thyroid. Over 95% of thyroid nodules are benign (non-cancerous) and it is a common disease in up to 68% of healthy people. Thyroid nodules can become cancerous. Thyroid cancer is less fatal than other types of cancer if it is treated early.
“This joint research would be of great significance as it will be able to provide guidelines for the diagnosis and treatment of thyroid nodules,” KT said in a statement on June 29, adding that the solution could work as the first step in the treatment. thyroid cancer screening. tests performed in hard-to-reach places where medical personnel cannot visit frequently.
KT and Inha University would jointly develop an AI-based solution specifically designed to reduce hospital operating costs using big data.
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