During the epidemics in the Qing dynasty,many medical professionals,nonprofessionals,and social organizations collected and sorted medical prescriptions related to infectious diseases.These people also compiled,publis...During the epidemics in the Qing dynasty,many medical professionals,nonprofessionals,and social organizations collected and sorted medical prescriptions related to infectious diseases.These people also compiled,published,disseminated,and consulted related medical formularies.The above historical event can be viewed as the construction and dissemination of medical knowledge.They edited and published medical formularies on infectious diseases with lower cost and in flexible ways by taking the initiative and giving full scope to creativity.Diverse anti-epidemic medical prescriptions from these medical formularies can be used for infectious diseases in the event of the outbreaks.However,the therapeutic effects of classical prescriptions and folk recipes cannot be regarded as the same.The wide circulation of anti-epidemic medical prescriptions and medical formularies was essentially a process of epidemic prevention resource allocation.Not only did it enable many nonprofessionals to participate in epidemic prevention and control,but it also enhanced awareness,knowledge,and capacity for epidemic prevention at the individual level.At the same time,due to the uneven quality and individual differences in the physical fitness and condition of the prescriptions and formularies,they had the capacity of causing inconveniences to the readers or patients.展开更多
In recent years,significant advances have been achieved in liver cancer management with the development of artificial intelligence(AI).AI-based pathological analysis can extract crucial information from whole slide im...In recent years,significant advances have been achieved in liver cancer management with the development of artificial intelligence(AI).AI-based pathological analysis can extract crucial information from whole slide images to assist clinicians in all aspects from diagnosis to prognosis and molecular profiling.However,AI techniques have a“black box”nature,which means that interpretability is of utmost importance because it is key to ensuring the reliability of the methods and building trust among clinicians for actual clinical implementation.In this paper,we provide an overview of current technical advancements in the AI-based pathological analysis of liver cancer,and delve into the strategies used in recent studies to unravel the“black box”of AI's decision-making process.展开更多
基金financially supported by the National Social Science Foundation of China(No.ZDA175)the Humanities and Social Science Foundation of the Ministry of Education(No.20YJC770021)。
文摘During the epidemics in the Qing dynasty,many medical professionals,nonprofessionals,and social organizations collected and sorted medical prescriptions related to infectious diseases.These people also compiled,published,disseminated,and consulted related medical formularies.The above historical event can be viewed as the construction and dissemination of medical knowledge.They edited and published medical formularies on infectious diseases with lower cost and in flexible ways by taking the initiative and giving full scope to creativity.Diverse anti-epidemic medical prescriptions from these medical formularies can be used for infectious diseases in the event of the outbreaks.However,the therapeutic effects of classical prescriptions and folk recipes cannot be regarded as the same.The wide circulation of anti-epidemic medical prescriptions and medical formularies was essentially a process of epidemic prevention resource allocation.Not only did it enable many nonprofessionals to participate in epidemic prevention and control,but it also enhanced awareness,knowledge,and capacity for epidemic prevention at the individual level.At the same time,due to the uneven quality and individual differences in the physical fitness and condition of the prescriptions and formularies,they had the capacity of causing inconveniences to the readers or patients.
基金supported by the National Natural Science Foundation of China(Nos 81961128025 and 82273187)the Research Projects from the Science and Technology Commission of Shanghai Municipality(Nos 21JC1401200 and 20JC1418900)the Natural Science Foundation of Fujian Province(No.2023J05292).
文摘In recent years,significant advances have been achieved in liver cancer management with the development of artificial intelligence(AI).AI-based pathological analysis can extract crucial information from whole slide images to assist clinicians in all aspects from diagnosis to prognosis and molecular profiling.However,AI techniques have a“black box”nature,which means that interpretability is of utmost importance because it is key to ensuring the reliability of the methods and building trust among clinicians for actual clinical implementation.In this paper,we provide an overview of current technical advancements in the AI-based pathological analysis of liver cancer,and delve into the strategies used in recent studies to unravel the“black box”of AI's decision-making process.
