Data on Artificial Intelligence Reported by Xiaoshuai Hou and Colleagues (Artifi cial intelligence assists identification and pathologic classification of glomer ular lesions in patients with diabetic nephropathy)
Data on Artificial Intelligence Reported by Xiaoshuai Hou and Colleagues (Artifi cial intelligence assists identification and pathologic classification of glomer ular lesions in patients with diabetic nephropathy)
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Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating in Shangha i, People’s Republic of China, by NewsRx journalists, research stated, “Glomerul ar lesions are the main injuries of diabetic nephropathy (DN) and are used as a crucial index for pathologic classification. Manual quantification of these morp hologic features currently used is semiquantitative and time-consuming.” Financial supporters for this research include National Natural Science Foundati on of China, Medical Scientific Research Project of Jiangsu Provincial Health Co mmission, National Key Research and Development Program of China.
Key words
Shanghai, People’s Republic of China, As ia, Artificial Intelligence, Diabetes Complications, Diabetes Mellitus, Diabetic Nephropathy, Emerging Technologies, Health and Medicine, Kidney Diseases and Co nditions, Machine Learning, Nephrology, Nephropathy, Nutritional and Metabolic D iseases and Conditions
NETL
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