The use of Artificial intelligence(AI)has evolved from its mid-20th century origins to playing a pivotal tool in modern medicine.It leverages digital data and computational hardware for diverse applications,including ...The use of Artificial intelligence(AI)has evolved from its mid-20th century origins to playing a pivotal tool in modern medicine.It leverages digital data and computational hardware for diverse applications,including diagnosis,prognosis,and treatment responses in gastrointestinal and hepatic conditions.AI has had an impact in diagnostic techniques,particularly endoscopy,ultrasound,and histopathology.AI encompasses machine learning,natural language processing,and robotics,with machine learning being central.This involves sophisticated algorithms capable of managing complex datasets,far surpassing traditional statistical methods.These algorithms,both supervised and unsupervised,are integral for interpreting large datasets.In liver diseases,AI's non-invasive diagnostic applications,particularly in non-alcoholic fatty liver disease,and its role in characterizing hepatic lesions is promising.AI aids in distinguishing between normal and cirrhotic livers and improves the accuracy of lesion characterization and prognostication of hepatocellular carcinoma.AI enhances lesion identification during endoscopy,showing potential in the diagnosis and management of early-stage esophageal carcinoma.In peptic ulcer disease,AI technologies influence patient management strategies.AI is useful in colonoscopy,particularly in detecting smaller colonic polyps.However,its applicability in nonacademic settings requires further validation.Addressing these issues is vital for harnessing the potential of AI.In conclusion,while AI offers transformative possibilities in gastroenterology,careful integration and balancing of technical possibilities with ethical and practical application,is essential for optimal use.展开更多
目的分析远程影像与图像存档与通信系统(Pictures Archiving and Communication Systems,PACS)在放射科数字化管理中的应用效果。方法选取2021年1—12月京山市人民医院放射科工作的45名工作人员,纳入常规组,接受常规管理;选取2022年1—1...目的分析远程影像与图像存档与通信系统(Pictures Archiving and Communication Systems,PACS)在放射科数字化管理中的应用效果。方法选取2021年1—12月京山市人民医院放射科工作的45名工作人员,纳入常规组,接受常规管理;选取2022年1—12月京山市人民医院放射科工作的45名工作人员,纳入探究组,接受以远程影像与PACS系统为基础的放射科数字化管理。比较两组工作人员的工作流程时间以及工作质量评分。结果探究组登记核验、图像申请单匹配、书写审核报告、报告送达时间等工作流程时间短于常规组,差异有统计学意义(P均<0.05)。探究组操作熟练性、报告准确性、工作效率、信息完整性等工作质量评分高于常规组,差异有统计学意义(P均<0.05)。结论远程影像与PACS系统在放射科数字化管理中的应用能够显著优化工作流程,提高工作效率和工作质量,对于提升放射科服务质量和患者安全性具有积极意义。展开更多
文摘The use of Artificial intelligence(AI)has evolved from its mid-20th century origins to playing a pivotal tool in modern medicine.It leverages digital data and computational hardware for diverse applications,including diagnosis,prognosis,and treatment responses in gastrointestinal and hepatic conditions.AI has had an impact in diagnostic techniques,particularly endoscopy,ultrasound,and histopathology.AI encompasses machine learning,natural language processing,and robotics,with machine learning being central.This involves sophisticated algorithms capable of managing complex datasets,far surpassing traditional statistical methods.These algorithms,both supervised and unsupervised,are integral for interpreting large datasets.In liver diseases,AI's non-invasive diagnostic applications,particularly in non-alcoholic fatty liver disease,and its role in characterizing hepatic lesions is promising.AI aids in distinguishing between normal and cirrhotic livers and improves the accuracy of lesion characterization and prognostication of hepatocellular carcinoma.AI enhances lesion identification during endoscopy,showing potential in the diagnosis and management of early-stage esophageal carcinoma.In peptic ulcer disease,AI technologies influence patient management strategies.AI is useful in colonoscopy,particularly in detecting smaller colonic polyps.However,its applicability in nonacademic settings requires further validation.Addressing these issues is vital for harnessing the potential of AI.In conclusion,while AI offers transformative possibilities in gastroenterology,careful integration and balancing of technical possibilities with ethical and practical application,is essential for optimal use.
文摘目的分析远程影像与图像存档与通信系统(Pictures Archiving and Communication Systems,PACS)在放射科数字化管理中的应用效果。方法选取2021年1—12月京山市人民医院放射科工作的45名工作人员,纳入常规组,接受常规管理;选取2022年1—12月京山市人民医院放射科工作的45名工作人员,纳入探究组,接受以远程影像与PACS系统为基础的放射科数字化管理。比较两组工作人员的工作流程时间以及工作质量评分。结果探究组登记核验、图像申请单匹配、书写审核报告、报告送达时间等工作流程时间短于常规组,差异有统计学意义(P均<0.05)。探究组操作熟练性、报告准确性、工作效率、信息完整性等工作质量评分高于常规组,差异有统计学意义(P均<0.05)。结论远程影像与PACS系统在放射科数字化管理中的应用能够显著优化工作流程,提高工作效率和工作质量,对于提升放射科服务质量和患者安全性具有积极意义。
