Recent advances in system management, decision support systems, artificial intelligence and computing in anaesthesia

被引:7
|
作者
Gupta, Bhavna [1 ]
Sahay, Nishant [2 ]
Vinod, Krishnagopal [3 ]
Sandhu, Kirandeep [4 ]
Basireddy, Hariprasad Reddy [5 ]
Mudiganti, Rama Krishna Reddy [6 ]
机构
[1] All India Inst Med Sci, Dept Anaesthesiol, Rishikesh, Uttarakhand, India
[2] All India Inst Med Sci, Dept Anaesthesiol, Patna, Bihar, India
[3] Sree Balaji Med Coll & Hosp, Dept Anaesthesiol, Chennai, Tamil Nadu, India
[4] Wockhardt Hosp, Dept Anaesthesiol, Nasik, Maharashtra, India
[5] Narayana Med Coll, Dept Anaesthesiol, Nellore, Andhra Pradesh, India
[6] MediCiti Inst Med Sci, Dept Anaesthesiol, Hyderabad, Telangana, Pakistan
关键词
Artificial intelligence; machine learning; management information systems; supervised machine learning; unsupervised machine learning;
D O I
10.4103/ija.ija_974_22
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
Advances in artificial intelligence, telemedicine, block-chain technology and electronic medical records are paving the way for a new era in anaesthetic care through automation, non-invasive monitoring, system management and decision support systems. Their utility has been demonstrated in a variety of contexts in the peri-operative setting, including but not limited to, monitoring anaesthesia depth, maintaining drug infusion, predicting hypotension, critical incident evaluation, risk management strategies, antibiotic administration, haemodynamic monitoring, precise ultrasound-guided nerve blocks and a future where possibilities are entirely dependent on how we decide to embrace this progression. The main objective of this article is to provide up-to-date and valuable knowledge about the recent advances in anaesthesia technology during the past few years.
引用
收藏
页码:146 / 151
页数:6
相关论文
共 50 条
  • [31] Recent Advances of Artificial Intelligence Applications in Interstitial Lung Diseases
    Exarchos, Konstantinos P.
    Gkrepi, Georgia
    Kostikas, Konstantinos
    Gogali, Athena
    DIAGNOSTICS, 2023, 13 (13)
  • [32] Recent Advances in Artificial Intelligence and Wearable Sensors in Healthcare Delivery
    Junaid, Sahalu Balarabe
    Imam, Abdullahi Abubakar
    Abdulkarim, Muhammad
    Surakat, Yusuf Alhaji
    Balogun, Abdullateef Oluwagbemiga
    Kumar, Ganesh
    Shuaibu, Aliyu Nuhu
    Garba, Aliyu
    Sahalu, Yusra
    Mohammed, Abdullahi
    Mohammed, Tanko Yahaya
    Abdulkadir, Bashir Abubakar
    Abba, Abdallah Alkali
    Kakumi, Nana Aliyu Iliyasu
    Hashim, Ahmad Sobri
    APPLIED SCIENCES-BASEL, 2022, 12 (20):
  • [33] Artificial intelligence meets laser technology: A review of recent advances
    Elhamali, Suleiman
    Musbah, Hmeda
    Zawi, Lubna
    Shuwehdi, Asmaa
    Faris, Hajer
    Mahdawe, Aisha
    RESULTS IN SURFACES AND INTERFACES, 2025, 19
  • [34] Artificial intelligence in digestive endoscopy: recent advances
    Rey, Jean-Francois
    CURRENT OPINION IN GASTROENTEROLOGY, 2023, 39 (05) : 397 - 402
  • [35] Recent Advances of Artificial Intelligence in Cardiovascular Disease
    Chen, Zhu
    Xiao, Changhu
    Qiu, Haihua
    Tan, Xinxing
    Jin, Lian
    He, Yi
    Guo, Yuan
    He, Nongyue
    JOURNAL OF BIOMEDICAL NANOTECHNOLOGY, 2020, 16 (07) : 1065 - 1081
  • [36] Prevention and management of degenerative lumbar spine disorders through artificial intelligence-based decision support systems: a systematic review
    Giaccone, Paolo
    D'Antoni, Federico
    Russo, Fabrizio
    Ambrosio, Luca
    Papalia, Giuseppe Francesco
    d'Angelis, Onorato
    Vadala, Gianluca
    Comelli, Albert
    Vollero, Luca
    Merone, Mario
    Papalia, Rocco
    Denaro, Vincenzo
    BMC MUSCULOSKELETAL DISORDERS, 2025, 26 (01)
  • [37] A Systematic Review on the Integration of Artificial Intelligence into Energy Management Systems for Electric Vehicles: Recent Advances and Future Perspectives
    Arevalo, Paul
    Ochoa-Correa, Danny
    Villa-Avila, Edisson
    WORLD ELECTRIC VEHICLE JOURNAL, 2024, 15 (08):
  • [38] The use of artificial intelligence as a decision support system for residential urban environments
    Paris, DE
    Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005, : 88 - 91
  • [39] Artificial Intelligence and Clinical Decision Support for Radiologists and Referring Providers
    Bizzo, Bernardo C.
    Almeida, Renata R.
    Michalski, Mark H.
    Alkasab, Tarik K.
    JOURNAL OF THE AMERICAN COLLEGE OF RADIOLOGY, 2019, 16 (09) : 1351 - 1356
  • [40] Artificial intelligence for decision support in surgical oncology - a systematic review
    Wagner, Martin
    Schulze, Andre
    Haselbeck-Kobler, Michael
    Probst, Pascal
    Brandenburg, Johanna M.
    Kalkum, Eva
    Majlesara, Ali
    Ramouz, Ali
    Klotz, Rosa
    Nickel, Felix
    Marz, Keno
    Bodenstedt, Sebastian
    Dugas, Martin
    Maier-Hein, Lena
    Mehrabi, Arianeb
    Speidel, Stefanie
    Buchler, Markus W.
    Mueller-Stich, Beat Peter
    ARTIFICIAL INTELLIGENCE SURGERY, 2022, 2 (03): : 159 - 172