Prediction of intraoperative hypotension during Caesarean delivery with deep learning models from intraoperative non-invasive monitor

被引:0
|
作者
Kim, S. [1 ,10 ]
Kwon, D. [4 ]
Jung, Y. [2 ,15 ]
Lee, H. [3 ,5 ]
Lee, S. [3 ,6 ,15 ]
Kim, T. [7 ]
Kim, K. [8 ]
Yoo, S. [3 ,5 ]
Lee, G. [9 ,11 ,12 ]
Kim, S. [1 ,10 ]
Kim, B. [10 ]
Bae, J. [11 ,12 ]
Lee, G. [9 ,11 ,12 ]
Kim, J. [14 ]
Choi, M. [14 ]
Lim, G. [15 ]
Park, C. [15 ]
Park, J. [15 ]
Jun, J. [15 ]
Yoo, J. [1 ,13 ]
Choi, S. [1 ,13 ]
Lee, M. [1 ,13 ]
Won, H. [1 ,13 ]
Lee, S. [3 ,6 ,15 ]
Chung, J. [1 ,13 ]
机构
[1] Asan Med Ctr, Obstetr & Gynecol, Seoul, South Korea
[2] Korea Univ, Guro Hosp, Coll Med, Obstet & Gynecol, Seoul, South Korea
[3] Seoul Natl Univ Hosp, Seoul, South Korea
[4] Seoul Natl Univ, Interdisciplinary Program Med Informat, Coll Med, Seoul, South Korea
[5] Seoul Natl Univ, Anesthesiol & Pain Med, Coll Med, Seoul, South Korea
[6] Keimyung Univ, Sch Med, Med Informat, Daegu, South Korea
[7] Seoul Natl Univ, Seoul Metropolitan Govt Boramae Med Ctr, Anesthesiol & Pain Med, Seoul, South Korea
[8] Seoul Natl Univ Hosp, Transdisciplinary Dept Med & Adv Technol, Seoul, South Korea
[9] Seoul Natl Univ Hosp, Biomed Res Inst, Seoul, South Korea
[10] Seoul Natl Univ, Seoul Metropolitan Govt Boramae Med Ctr, Obstetr & Gynecol, Seoul, South Korea
[11] Keimyung Univ, Obstetr & Gynecol, Dongsan Med Ctr, Daegu, South Korea
[12] Keimyung Univ, Obstetr & Gynecol, Sch Med, Daegu, South Korea
[13] Univ Ulsan, Coll Med, Obstetr & Gynecol, Seoul, South Korea
[14] Chonnam Natl Univ, Sch Med, Obstetr & Gynecol, Gwangju, South Korea
[15] Seoul Natl Univ, Obstetr & Gynecol, Coll Med, Seoul, South Korea
关键词
D O I
10.1002/uog.26663
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
EP02.48
引用
收藏
页码:119 / 119
页数:1
相关论文
共 50 条
  • [21] Non-invasive intraoperative monitoring of blood pressure and arterial pCO2 during surgical anesthesia in mice
    Thal, Serge C.
    Plesnila, Nikolaus
    JOURNAL OF NEUROSCIENCE METHODS, 2007, 159 (02) : 261 - 267
  • [22] Detection of hypotension during Caesarean section with continuous non-invasive arterial pressure device or intermittent oscillometric arterial pressure measurement
    Ilies, C.
    Kiskalt, H.
    Siedenhans, D.
    Meybohm, P.
    Steinfath, M.
    Bein, B.
    Hanss, R.
    BRITISH JOURNAL OF ANAESTHESIA, 2012, 109 (03) : 413 - 419
  • [23] Non-invasive hemoglobin estimation from conjunctival images using deep learning
    Cuvadar, Beyza
    Yilmaz, Hakan
    MEDICAL ENGINEERING & PHYSICS, 2023, 120
  • [24] Development of a Machine Learning Model of Postoperative Acute Kidney Injury Using Non-Invasive Time-Sensitive Intraoperative Predictors
    Zamirpour, Siavash
    Hubbard, Alan E.
    Feng, Jean
    Butte, Atul J.
    Pirracchio, Romain
    Bishara, Andrew
    BIOENGINEERING-BASEL, 2023, 10 (08):
  • [25] Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning
    Kainz, Bernhard
    Makropoulos, Antonios
    Oppenheimer, Jonas
    Deane, Christopher
    Mischkewitz, Sven
    Al-Noor, Fouad
    Rawdin, Andrew C.
    Stevenson, Matthew D.
    Mandegaran, Ramin
    Heinrich, Mattias P.
    Curry, Nicola
    Sankar, Shrinivasan
    Ruttloff, Andreas
    Klein-Weigel, Peter
    NPJ DIGITAL MEDICINE, 2021, 4 (01)
  • [26] Non-invasive diagnosis of deep vein thrombosis from ultrasound imaging with machine learning
    Bernhard Kainz
    Mattias P. Heinrich
    Antonios Makropoulos
    Jonas Oppenheimer
    Ramin Mandegaran
    Shrinivasan Sankar
    Christopher Deane
    Sven Mischkewitz
    Fouad Al-Noor
    Andrew C. Rawdin
    Andreas Ruttloff
    Matthew D. Stevenson
    Peter Klein-Weigel
    Nicola Curry
    npj Digital Medicine, 4
  • [27] A Non-Invasive Interpretable Diagnosis of Melanoma Skin Cancer Using Deep Learning and Ensemble Stacking of Machine Learning Models
    Alfi, Iftiaz A.
    Rahman, Md Mahfuzur
    Shorfuzzaman, Mohammad
    Nazir, Amril
    DIAGNOSTICS, 2022, 12 (03)
  • [28] Impact of non-invasive continuous blood pressure monitoring on maternal hypotension during cesarean delivery: a randomized-controlled study
    Takashi Juri
    Koichi Suehiro
    Aya Kimura
    Akira Mukai
    Katsuaki Tanaka
    Tokuhiro Yamada
    Takashi Mori
    Kiyonobu Nishikawa
    Journal of Anesthesia, 2018, 32 : 822 - 830
  • [29] Impact of non-invasive continuous blood pressure monitoring on maternal hypotension during cesarean delivery: a randomized-controlled study
    Juri, Takashi
    Suehiro, Koichi
    Kimura, Aya
    Mukai, Akira
    Tanaka, Katsuaki
    Yamada, Tokuhiro
    Mori, Takashi
    Nishikawa, Kiyonobu
    JOURNAL OF ANESTHESIA, 2018, 32 (06) : 822 - 830
  • [30] PRAM: A non-invasive method to monitor cardiac output from arterial pressure during cardiac surgery
    Scolletta, S
    Biagioli, B
    Giomarelli, P
    Romano, S
    INTENSIVE CARE MEDICINE, 2003, 29 : S136 - S136