Diabetic retinopathy(DR)is one of the most common retinal vascular diseases and one of the main causes of blindness worldwide.Early detection and treatment can effectively delay vision decline and even blindness in pa...Diabetic retinopathy(DR)is one of the most common retinal vascular diseases and one of the main causes of blindness worldwide.Early detection and treatment can effectively delay vision decline and even blindness in patients with DR.In recent years,artificial intelligence(AI)models constructed by machine learning and deep learning(DL)algorithms have been widely used in ophthalmology research,especially in diagnosing and treating ophthalmic diseases,particularly DR.Regarding DR,AI has mainly been used in its diagnosis,grading,and lesion recognition and segmentation,and good research and application results have been achieved.This study summarizes the research progress in AI models based on machine learning and DL algorithms for DR diagnosis and discusses some limitations and challenges in AI research.展开更多
The treatment of severe trauma,especially multiple injuries,requires multidisciplinary collaboration.The current study aims to highlight the challenges of consultation mode for severe trauma in general hospitals and e...The treatment of severe trauma,especially multiple injuries,requires multidisciplinary collaboration.The current study aims to highlight the challenges of consultation mode for severe trauma in general hospitals and emphasizes the need to create a new temporary-sustainable team.It suggests developing an information consultation mode and enforcing the fine management to improve the quality and safety of the medical treatment.The management mode of a temporary-sustainable team will reduce the cost and improve the treatment efficiency.Overall,a temporary-sustainable team has significant advantages over a traditional multidisciplinary team for severe trauma treatment.展开更多
基金Supported by Huzhou Science and Technology Planning Program(No.2019GY13).
文摘Diabetic retinopathy(DR)is one of the most common retinal vascular diseases and one of the main causes of blindness worldwide.Early detection and treatment can effectively delay vision decline and even blindness in patients with DR.In recent years,artificial intelligence(AI)models constructed by machine learning and deep learning(DL)algorithms have been widely used in ophthalmology research,especially in diagnosing and treating ophthalmic diseases,particularly DR.Regarding DR,AI has mainly been used in its diagnosis,grading,and lesion recognition and segmentation,and good research and application results have been achieved.This study summarizes the research progress in AI models based on machine learning and DL algorithms for DR diagnosis and discusses some limitations and challenges in AI research.
文摘The treatment of severe trauma,especially multiple injuries,requires multidisciplinary collaboration.The current study aims to highlight the challenges of consultation mode for severe trauma in general hospitals and emphasizes the need to create a new temporary-sustainable team.It suggests developing an information consultation mode and enforcing the fine management to improve the quality and safety of the medical treatment.The management mode of a temporary-sustainable team will reduce the cost and improve the treatment efficiency.Overall,a temporary-sustainable team has significant advantages over a traditional multidisciplinary team for severe trauma treatment.
