Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based diagnosis.China has a massive amount of medical data.However,a uniform c...Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based diagnosis.China has a massive amount of medical data.However,a uniform criteria for medical data quality have yet to be established.Therefore,this review aimed to develop a standardized and detailed set of quality criteria for medical data collection,storage,annotation,and management related to medical AI.This would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine.展开更多
Testicular two-dimensional ultrasound is a testing modality that is often used to evaluate azoospermia and other related diseases.With the continuous development of deep learning in recent years,the combination of dee...Testicular two-dimensional ultrasound is a testing modality that is often used to evaluate azoospermia and other related diseases.With the continuous development of deep learning in recent years,the combination of deep learning and testicular ultrasound appears unstoppable despite a lack of relevant standards.One of the major problems associated with the digitization of ultrasound images is the uneven quality of data however,and a standardized data source and acquisition process has not yet been developed.Such a standard could fill the current gap,and establish acquisition criteria for ultrasound images of testes during the male reproductive period,including grayscale ultrasound,shear wave elastography,and contrast-enhanced ultrasound.By following these guidelines the quality of testicular ultrasound images would be improved and standardized,which would lay a solid foundation for the standardization of testicular ultrasound images,and assist automated evaluation of testicular spermatogenic function of whole testis in azoospermic males.展开更多
基金supported by the Science and Technology Planning Projects of Guangdong Province(Grant No.2018B010109008)Na-tional Key R&D Program of China(Grant No.2018YFC0116500).
文摘Medical artificial intelligence(AI)and big data technology have rapidly advanced in recent years,and they are now routinely used for image-based diagnosis.China has a massive amount of medical data.However,a uniform criteria for medical data quality have yet to be established.Therefore,this review aimed to develop a standardized and detailed set of quality criteria for medical data collection,storage,annotation,and management related to medical AI.This would greatly improve the process of medical data resource sharing and the use of AI in clinical medicine.
基金Funding for this project was received from Science and Tech-nology Planning Projects of Guangdong Province(Grant No.2018B010109008)National Key R&D Program of China(Grant No.2018YFC0116500)+1 种基金5010 Project of Clinical Research at Sun Yat-Sen University(Grant No.2019016)Guangdong Natural Science Foundation(Grant No.2020A151501523).
文摘Testicular two-dimensional ultrasound is a testing modality that is often used to evaluate azoospermia and other related diseases.With the continuous development of deep learning in recent years,the combination of deep learning and testicular ultrasound appears unstoppable despite a lack of relevant standards.One of the major problems associated with the digitization of ultrasound images is the uneven quality of data however,and a standardized data source and acquisition process has not yet been developed.Such a standard could fill the current gap,and establish acquisition criteria for ultrasound images of testes during the male reproductive period,including grayscale ultrasound,shear wave elastography,and contrast-enhanced ultrasound.By following these guidelines the quality of testicular ultrasound images would be improved and standardized,which would lay a solid foundation for the standardization of testicular ultrasound images,and assist automated evaluation of testicular spermatogenic function of whole testis in azoospermic males.
