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- W4381661662 abstract "The measurement of physiologic pressure helps diagnose and prevent associated health complications. From typical conventional methods to more complicated modalities, such as the estimation of intracranial pressures, numerous invasive and noninvasive tools that provide us with insight into daily physiology and aid in understanding pathology are within our grasp. Currently, our standards for estimating vital pressures, including continuous BP measurements, pulmonary capillary wedge pressures, and hepatic portal gradients, involve the use of invasive modalities. As an emerging field in medical technology, artificial intelligence (AI) has been incorporated into analyzing and predicting patterns of physiologic pressures. AI has been used to construct models that have clinical applicability both in hospital settings and at-home settings for ease of use for patients. Studies applying AI to each of these compartmental pressures were searched and shortlisted for thorough assessment and review. There are several AI-based innovations in noninvasive blood pressure estimation based on imaging, auscultation, oscillometry and wearable technology employing biosignals. The purpose of this review is to provide an in-depth assessment of the involved physiologies, prevailing methodologies and emerging technologies incorporating AI in clinical practice for each type of compartmental pressure measurement. We also bring to the forefront AI-based noninvasive estimation techniques for physiologic pressure based on microwave systems that have promising potential for clinical practice." @default.
- W4381661662 created "2023-06-23" @default.
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- W4381661662 date "2023-06-20" @default.
- W4381661662 modified "2023-09-30" @default.
- W4381661662 title "Estimation of Physiologic Pressures: Invasive and Non-Invasive Techniques, AI Models, and Future Perspectives" @default.
- W4381661662 cites W122244045 @default.
- W4381661662 cites W144913734 @default.
- W4381661662 cites W1504765768 @default.
- W4381661662 cites W1584978283 @default.
- W4381661662 cites W1591699638 @default.
- W4381661662 cites W165368761 @default.
- W4381661662 cites W1847812067 @default.
- W4381661662 cites W1901608185 @default.
- W4381661662 cites W1958583765 @default.
- W4381661662 cites W1964051982 @default.
- W4381661662 cites W1966594963 @default.
- W4381661662 cites W1969276775 @default.
- W4381661662 cites W1971979024 @default.
- W4381661662 cites W1973280456 @default.
- W4381661662 cites W1976289966 @default.
- W4381661662 cites W1979100526 @default.
- W4381661662 cites W1980000335 @default.
- W4381661662 cites W1984184172 @default.
- W4381661662 cites W1985034572 @default.
- W4381661662 cites W1986686551 @default.
- W4381661662 cites W1989626641 @default.
- W4381661662 cites W1989867717 @default.
- W4381661662 cites W1990633851 @default.
- W4381661662 cites W1992122264 @default.
- W4381661662 cites W1992949811 @default.
- W4381661662 cites W1993722458 @default.
- W4381661662 cites W1994279963 @default.
- W4381661662 cites W1994514865 @default.
- W4381661662 cites W1996640997 @default.
- W4381661662 cites W1997705238 @default.
- W4381661662 cites W2002914268 @default.
- W4381661662 cites W2003899531 @default.
- W4381661662 cites W2004579689 @default.
- W4381661662 cites W2005789713 @default.
- W4381661662 cites W2006359998 @default.
- W4381661662 cites W2007046844 @default.
- W4381661662 cites W2007148411 @default.
- W4381661662 cites W2008686445 @default.
- W4381661662 cites W2009850739 @default.
- W4381661662 cites W2012579154 @default.
- W4381661662 cites W2014386792 @default.
- W4381661662 cites W2017136438 @default.
- W4381661662 cites W2021402962 @default.
- W4381661662 cites W2024377214 @default.
- W4381661662 cites W2028165676 @default.
- W4381661662 cites W2028954566 @default.
- W4381661662 cites W2029180996 @default.
- W4381661662 cites W2031694028 @default.
- W4381661662 cites W2039795106 @default.
- W4381661662 cites W2040783360 @default.
- W4381661662 cites W2042202802 @default.
- W4381661662 cites W2045630386 @default.
- W4381661662 cites W2045814946 @default.
- W4381661662 cites W2048270293 @default.
- W4381661662 cites W2052864816 @default.
- W4381661662 cites W2058759635 @default.
- W4381661662 cites W2060474457 @default.
- W4381661662 cites W2061102313 @default.
- W4381661662 cites W2061743369 @default.
- W4381661662 cites W2063621185 @default.
- W4381661662 cites W2063919892 @default.
- W4381661662 cites W2064331604 @default.
- W4381661662 cites W2066117512 @default.
- W4381661662 cites W2066302518 @default.
- W4381661662 cites W2067853222 @default.
- W4381661662 cites W2068103437 @default.
- W4381661662 cites W2072495789 @default.
- W4381661662 cites W2073796724 @default.
- W4381661662 cites W2076860232 @default.
- W4381661662 cites W2078918819 @default.
- W4381661662 cites W2080481026 @default.
- W4381661662 cites W2084569758 @default.
- W4381661662 cites W2085076453 @default.
- W4381661662 cites W2086903144 @default.
- W4381661662 cites W2093471614 @default.
- W4381661662 cites W2095764663 @default.