Estimating pharmacokinetics of contrast agents by cardiovascular system analysis models and/or neural network algorithms
The present disclosure relates to estimating pharmacokinetics of contrast agents through cardiovascular system analysis models and/or neural network algorithms. According to various examples, a contrast agent is estimated through pharmacokinetics of the cardiovascular system of a patient. This is ac...
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| creator | A.MUEHLBERG REIMANN MARTIN SAMEH, EMAD SABAY BAGHERZADEH PEYMAN GUTJAHR RALF |
| description | The present disclosure relates to estimating pharmacokinetics of contrast agents through cardiovascular system analysis models and/or neural network algorithms. According to various examples, a contrast agent is estimated through pharmacokinetics of the cardiovascular system of a patient. This is accomplished using an analytical model, such as a compartment model (2051) or a linear time-invariant model (2052) and/or one or more neural network algorithms (2010).
本公开涉及通过心血管系统分析模型和/或神经网络算法来估计造影剂的药代动力学。根据各种示例，造影剂通过患者心血管系统的药代动力学被估计。这是使用诸如隔室模型(2051)或线性时不变模型(2052)和/或一个或多个神经网络算法(2010)之类的分析模型来实现的。 |
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本公开涉及通过心血管系统分析模型和/或神经网络算法来估计造影剂的药代动力学。根据各种示例，造影剂通过患者心血管系统的药代动力学被估计。这是使用诸如隔室模型(2051)或线性时不变模型(2052)和/或一个或多个神经网络算法(2010)之类的分析模型来实现的。</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; DIAGNOSIS ; ELECTRIC DIGITAL DATA PROCESSING ; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS ; MEDICAL OR VETERINARY SCIENCE ; PHYSICS ; SURGERY</subject><creationdate>2024</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240430&DB=EPODOC&CC=CN&NR=117954103A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240430&DB=EPODOC&CC=CN&NR=117954103A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>A.MUEHLBERG</creatorcontrib><creatorcontrib>REIMANN MARTIN</creatorcontrib><creatorcontrib>SAMEH, EMAD</creatorcontrib><creatorcontrib>SABAY BAGHERZADEH PEYMAN</creatorcontrib><creatorcontrib>GUTJAHR RALF</creatorcontrib><title>Estimating pharmacokinetics of contrast agents by cardiovascular system analysis models and/or neural network algorithms</title><description>The present disclosure relates to estimating pharmacokinetics of contrast agents through cardiovascular system analysis models and/or neural network algorithms. According to various examples, a contrast agent is estimated through pharmacokinetics of the cardiovascular system of a patient. This is accomplished using an analytical model, such as a compartment model (2051) or a linear time-invariant model (2052) and/or one or more neural network algorithms (2010).
本公开涉及通过心血管系统分析模型和/或神经网络算法来估计造影剂的药代动力学。根据各种示例，造影剂通过患者心血管系统的药代动力学被估计。这是使用诸如隔室模型(2051)或线性时不变模型(2052)和/或一个或多个神经网络算法(2010)之类的分析模型来实现的。</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DIAGNOSIS</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>PHYSICS</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizsKwkAQQNNYiHqH8QCiIYpYSlCsrOzDuBmTJbs7YWb85Pam8ABWjwfvTbPPSc1HNJ8a6FuUiI47n8i8U-AHOE4mqAbYUDKF-wAOpfb8QnXPgAI6qFEETBgG9QqRawo6er1mgURPwTDC3iwdYGhYvLVR59nkgUFp8eMsW55Pt_Kyop4r0h4djVNVXvN8f9ht801xLP5pvpn9R8U</recordid><startdate>20240430</startdate><enddate>20240430</enddate><creator>A.MUEHLBERG</creator><creator>REIMANN MARTIN</creator><creator>SAMEH, EMAD</creator><creator>SABAY BAGHERZADEH PEYMAN</creator><creator>GUTJAHR RALF</creator><scope>EVB</scope></search><sort><creationdate>20240430</creationdate><title>Estimating pharmacokinetics of contrast agents by cardiovascular system analysis models and/or neural network algorithms</title><author>A.MUEHLBERG ; REIMANN MARTIN ; SAMEH, EMAD ; SABAY BAGHERZADEH PEYMAN ; GUTJAHR RALF</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117954103A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIAGNOSIS</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>PHYSICS</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>A.MUEHLBERG</creatorcontrib><creatorcontrib>REIMANN MARTIN</creatorcontrib><creatorcontrib>SAMEH, EMAD</creatorcontrib><creatorcontrib>SABAY BAGHERZADEH PEYMAN</creatorcontrib><creatorcontrib>GUTJAHR RALF</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>A.MUEHLBERG</au><au>REIMANN MARTIN</au><au>SAMEH, EMAD</au><au>SABAY BAGHERZADEH PEYMAN</au><au>GUTJAHR RALF</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Estimating pharmacokinetics of contrast agents by cardiovascular system analysis models and/or neural network algorithms</title><date>2024-04-30</date><risdate>2024</risdate><abstract>The present disclosure relates to estimating pharmacokinetics of contrast agents through cardiovascular system analysis models and/or neural network algorithms. According to various examples, a contrast agent is estimated through pharmacokinetics of the cardiovascular system of a patient. This is accomplished using an analytical model, such as a compartment model (2051) or a linear time-invariant model (2052) and/or one or more neural network algorithms (2010).
本公开涉及通过心血管系统分析模型和/或神经网络算法来估计造影剂的药代动力学。根据各种示例，造影剂通过患者心血管系统的药代动力学被估计。这是使用诸如隔室模型(2051)或线性时不变模型(2052)和/或一个或多个神经网络算法(2010)之类的分析模型来实现的。</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING DIAGNOSIS ELECTRIC DIGITAL DATA PROCESSING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY |
| title | Estimating pharmacokinetics of contrast agents by cardiovascular system analysis models and/or neural network algorithms |
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