Machine Learning and Artificial Intelligence in Pediatric Research: Current State, Future Prospects, and Examples in Perioperative and Critical Care

被引：28
|
作者：
Lonsdale, Hannah [1 ,2 ]
Jalali, Ali [3 ]
Ahumada, Luis [3 ]
Matava, Clyde [4 ,5 ]
机构：
[1] Johns Hopkins All Childrens Hosp, Dept Anesthesia Perioperat & Pain Med, St Petersburg, FL USA
[2] Sheffield Childrens Hosp, Dept Anaesthesia, Sheffield, S Yorkshire, England
[3] Johns Hopkins All Childrens Hosp, Hlth Informat Core, St Petersburg, FL USA
[4] Hosp Sick Children, Dept Anesthesia & Pain Med, 555 Univ Ave, Toronto, ON M5G 1X8, Canada
[5] Univ Toronto, Dept Anesthesia, Toronto, ON, Canada
来源：
JOURNAL OF PEDIATRICS | 2020年 / 221卷
关键词：
CLINICAL DETERIORATION; PLASMA TRANSFUSION; IMAGE-ANALYSIS; PREDICT; MORTALITY; COMPLICATIONS; LOCALIZATION; ANESTHESIA; SYSTEM; TESTS;
D O I：
10.1016/j.jpeds.2020.02.039
中图分类号：
R72 [儿科学];
学科分类号：
100202 ;
摘要：
引用
收藏
页码：S3 / S10
页数：8
相关论文
共 50 条
  • [1] Artificial intelligence and machine learning in critical care research
    Tobin, Joshua M.
    Lusczek, Elizabeth
    Bakker, Jan
    [J]. JOURNAL OF CRITICAL CARE, 2024, 82
  • [2] Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research
    Sun, Kai
    Roy, Arkajyoti
    Tobin, Joshua M.
    [J]. JOURNAL OF CRITICAL CARE, 2024, 82
  • [3] Artificial intelligence and deep learning in glaucoma: Current state and future prospects
    Girard, Michael J. A.
    Schmetterer, Leopold
    [J]. GLAUCOMA: A NEURODEGENERATIVE DISEASE OF THE RETINA AND BEYOND - PT B, 2020, 257 : 37 - 64
  • [4] The use of machine learning and artificial intelligence within pediatric critical care
    Shah, Neel
    Arshad, Ahmed
    Mazer, Monty B.
    Carroll, Christopher L.
    Shein, Steven L.
    Remy, Kenneth E.
    [J]. PEDIATRIC RESEARCH, 2023, 93 (02) : 405 - 412
  • [5] The use of machine learning and artificial intelligence within pediatric critical care
    Neel Shah
    Ahmed Arshad
    Monty B. Mazer
    Christopher L. Carroll
    Steven L. Shein
    Kenneth E. Remy
    [J]. Pediatric Research, 2023, 93 : 405 - 412
  • [6] Artificial intelligence for diabetes care: current and future prospects
    Sheng, Bin
    Pushpanathan, Krithi
    Guan, Zhouyu
    Lim, Quan Hziung
    Lim, Zhi Wei
    Yew, Samantha Min Er
    Goh, Jocelyn Hui Lin
    Bee, Yong Mong
    Sabanayagam, Charumathi
    Sevdalis, Nick
    Lim, Cynthia Ciwei
    Lim, Chwee Teck
    Shaw, Jonathan
    Jia, Weiping
    Ekinci, Elif Ilhan
    Simo, Rafael
    Lim, Lee-Ling
    Li, Huating
    Tham, Yih-Chung
    [J]. LANCET DIABETES & ENDOCRINOLOGY, 2024, 12 (08): : 569 - 595
  • [7] A Primer on the Present State and Future Prospects for Machine Learning and Artificial Intelligence Applications in Cardiology
    Manlhiot, Cedric
    van den Eynde, Jef
    Kutty, Shelby
    Ross, Heather J.
    [J]. CANADIAN JOURNAL OF CARDIOLOGY, 2022, 38 (02) : 169 - 184
  • [8] Possibilities and challenges for artificial intelligence and machine learning in perioperative care
    van der Meijden, S. L.
    Arbous, M. S.
    Geerts, B. F.
    [J]. BJA EDUCATION, 2023, 23 (08) : 288 - 294
  • [9] Current state and future prospects of artificial intelligence in ophthalmology: a review
    Hogarty, Daniel T.
    Mackey, David A.
    Hewitt, Alex W.
    [J]. CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY, 2019, 47 (01): : 128 - 139
  • [10] Current Research and Future Prospects of Neuromorphic Computing in Artificial Intelligence
    Vishwa, R.
    Karthikeyan, R.
    Rohith, R.
    Sabaresh, A.
    [J]. 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING (ICAME 2020), PTS 1-6, 2020, 912
12345