Artificial intelligence(AI)is playing an increasingly important role in medicine,especially in the field of medical imaging.It can be used to diagnose diseases and predict certain statuses and possible events that may...Artificial intelligence(AI)is playing an increasingly important role in medicine,especially in the field of medical imaging.It can be used to diagnose diseases and predict certain statuses and possible events that may happen.Recently,more and more studies have confirmed the value of AI based on ultrasound in the evaluation of diffuse liver diseases and focal liver lesions.It can assess the severity of liver fibrosis and nonalcoholic fatty liver,differentially diagnose benign and malignant liver lesions,distinguish primary from secondary liver cancers,predict the curative effect of liver cancer treatment and recurrence after treatment,and predict microvascular invasion in hepatocellular carcinoma.The findings from these studies have great clinical application potential in the near future.The purpose of this review is to comprehensively introduce the current status and future perspectives of AI in liver ultrasound.展开更多
Chronic pancreatitis(CP)is a progressive condition caused by several factors and characterised by pancreatic fibrosis and dysfunction.However,CP is difficult to diagnose at an early stage.Various advanced methods incl...Chronic pancreatitis(CP)is a progressive condition caused by several factors and characterised by pancreatic fibrosis and dysfunction.However,CP is difficult to diagnose at an early stage.Various advanced methods including endoscopic ultrasound based elastography and confocal laser endomicroscopy have been used to diagnose early CP,although no unified diagnostic standards have been established.In the past,the diagnosis was mainly based on imaging,and no comprehensive evaluations were performed.This review describes and compares the advantages and limitations of the traditional and latest diagnostic modalities and suggests guidelines for the standardisation of the methods used to diagnose early CP.展开更多
Recently,increasing attention has been paid to the application of artificial intelligence(AI)to the diagnosis of diverse hepatic diseases,which comprises traditional machine learning and deep learning.Recent studies h...Recently,increasing attention has been paid to the application of artificial intelligence(AI)to the diagnosis of diverse hepatic diseases,which comprises traditional machine learning and deep learning.Recent studies have shown the possible value of AI based data mining in predicting the incidence of hepatitis,classifying the different stages of hepatitis,diagnosing or screening for hepatitis,forecasting the progression of hepatitis,and predicting response to antiviral drugs in chronic hepatitis C patients.More importantly,AI based on radiology has been proven to be useful in predicting hepatitis and liver fibrosis as well as grading hepatocellular carcinoma(HCC)and differentiating it from benign liver tumors.It can predict the risk of vascular invasion of HCC,the risk of hepatic encephalopathy secondary to hepatitis B related cirrhosis,and the risk of liver failure after hepatectomy in HCC patients.In this review,we summarize the application of AI in hepatitis,and identify the challenges and future perspectives.展开更多
近数十年来基因技术对现代医学的发展具有特殊现实意义。随着分子生物学方法的迅猛发展,基因技术已日益增多地进入人类疾病诊断、治疗与预防的领域。基因技术在医学上乃是应用增殖的或克隆化 DNA 或 cDNA 作分子杂交分析与基因治疗;另...近数十年来基因技术对现代医学的发展具有特殊现实意义。随着分子生物学方法的迅猛发展,基因技术已日益增多地进入人类疾病诊断、治疗与预防的领域。基因技术在医学上乃是应用增殖的或克隆化 DNA 或 cDNA 作分子杂交分析与基因治疗;另一方面是基因合成蛋白用於疾病的诊断。展开更多
近数十年来,在明确脱氧核糖核酸(DNA)是遗传信息的载体,阐明 DNA 的双螺旋结构之后,从而有可能应用分子生物学方法分离基因,鉴定其结构与功能,并能使其在体外复制、几乎无限量的表达(表1)。因此,基因技术使人们对病毒、细菌与真核细胞...近数十年来,在明确脱氧核糖核酸(DNA)是遗传信息的载体,阐明 DNA 的双螺旋结构之后,从而有可能应用分子生物学方法分离基因,鉴定其结构与功能,并能使其在体外复制、几乎无限量的表达(表1)。因此,基因技术使人们对病毒、细菌与真核细胞的遗传学和分子生物学的认识产生了革命性改变。另一方面,几乎应用於临床医学各领域。展开更多
Artificial intelligence (AI), especially deep learning, is gaining extensive attentionfor its excellent performance in medical image analysis. It can automatically makea quantitative assessment of complex medical imag...Artificial intelligence (AI), especially deep learning, is gaining extensive attentionfor its excellent performance in medical image analysis. It can automatically makea quantitative assessment of complex medical images and help doctors to makemore accurate diagnoses. In recent years, AI based on ultrasound has been shownto be very helpful in diffuse liver diseases and focal liver lesions, such asanalyzing the severity of nonalcoholic fatty liver and the stage of liver fibrosis,identifying benign and malignant liver lesions, predicting the microvascularinvasion of hepatocellular carcinoma, curative transarterial chemoembolizationeffect, and prognoses after thermal ablation. Moreover, AI based on endoscopicultrasonography has been applied in some gastrointestinal diseases, such asdistinguishing gastric mesenchymal tumors, detection of pancreatic cancer andintraductal papillary mucinous neoplasms, and predicting the preoperative tumordeposits in rectal cancer. This review focused on the basic technical knowledgeabout AI and the clinical application of AI in ultrasound of liver and gastroenterologydiseases. Lastly, we discuss the challenges and future perspectives of AI.展开更多
基金Supported by National Natural Science Foundation of China,No.820719532020 Hunan Province Clinical Medical Technology Innovation Guidance Project.
文摘Artificial intelligence(AI)is playing an increasingly important role in medicine,especially in the field of medical imaging.It can be used to diagnose diseases and predict certain statuses and possible events that may happen.Recently,more and more studies have confirmed the value of AI based on ultrasound in the evaluation of diffuse liver diseases and focal liver lesions.It can assess the severity of liver fibrosis and nonalcoholic fatty liver,differentially diagnose benign and malignant liver lesions,distinguish primary from secondary liver cancers,predict the curative effect of liver cancer treatment and recurrence after treatment,and predict microvascular invasion in hepatocellular carcinoma.The findings from these studies have great clinical application potential in the near future.The purpose of this review is to comprehensively introduce the current status and future perspectives of AI in liver ultrasound.
基金Supported by National Natural Science Foundation of China,No.81900601Outstanding Scientific Fund of Shengjing Hospital,No.201702University Innovation Team and Innovative Talent Support Program of Liaoning Province,No.LR2019073.
文摘Chronic pancreatitis(CP)is a progressive condition caused by several factors and characterised by pancreatic fibrosis and dysfunction.However,CP is difficult to diagnose at an early stage.Various advanced methods including endoscopic ultrasound based elastography and confocal laser endomicroscopy have been used to diagnose early CP,although no unified diagnostic standards have been established.In the past,the diagnosis was mainly based on imaging,and no comprehensive evaluations were performed.This review describes and compares the advantages and limitations of the traditional and latest diagnostic modalities and suggests guidelines for the standardisation of the methods used to diagnose early CP.
基金the National Natural Science Foundation of China,No.82071953Department of Science and Technology of Hunan Province,No.2020SK52103.
文摘Recently,increasing attention has been paid to the application of artificial intelligence(AI)to the diagnosis of diverse hepatic diseases,which comprises traditional machine learning and deep learning.Recent studies have shown the possible value of AI based data mining in predicting the incidence of hepatitis,classifying the different stages of hepatitis,diagnosing or screening for hepatitis,forecasting the progression of hepatitis,and predicting response to antiviral drugs in chronic hepatitis C patients.More importantly,AI based on radiology has been proven to be useful in predicting hepatitis and liver fibrosis as well as grading hepatocellular carcinoma(HCC)and differentiating it from benign liver tumors.It can predict the risk of vascular invasion of HCC,the risk of hepatic encephalopathy secondary to hepatitis B related cirrhosis,and the risk of liver failure after hepatectomy in HCC patients.In this review,we summarize the application of AI in hepatitis,and identify the challenges and future perspectives.
文摘近数十年来,在明确脱氧核糖核酸(DNA)是遗传信息的载体,阐明 DNA 的双螺旋结构之后,从而有可能应用分子生物学方法分离基因,鉴定其结构与功能,并能使其在体外复制、几乎无限量的表达(表1)。因此,基因技术使人们对病毒、细菌与真核细胞的遗传学和分子生物学的认识产生了革命性改变。另一方面,几乎应用於临床医学各领域。
基金the National Natural Science Foundation of China,No.82071953Medical Youth Top-notch Talent Project of Hubei Province
文摘Artificial intelligence (AI), especially deep learning, is gaining extensive attentionfor its excellent performance in medical image analysis. It can automatically makea quantitative assessment of complex medical images and help doctors to makemore accurate diagnoses. In recent years, AI based on ultrasound has been shownto be very helpful in diffuse liver diseases and focal liver lesions, such asanalyzing the severity of nonalcoholic fatty liver and the stage of liver fibrosis,identifying benign and malignant liver lesions, predicting the microvascularinvasion of hepatocellular carcinoma, curative transarterial chemoembolizationeffect, and prognoses after thermal ablation. Moreover, AI based on endoscopicultrasonography has been applied in some gastrointestinal diseases, such asdistinguishing gastric mesenchymal tumors, detection of pancreatic cancer andintraductal papillary mucinous neoplasms, and predicting the preoperative tumordeposits in rectal cancer. This review focused on the basic technical knowledgeabout AI and the clinical application of AI in ultrasound of liver and gastroenterologydiseases. Lastly, we discuss the challenges and future perspectives of AI.
