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

Artificial intelligence machine learning management information systems supervised machine learning unsupervised machine learning

Journal

Indian journal of anaesthesia
ISSN: 0019-5049
Titre abrégé: Indian J Anaesth
Pays: India
ID NLM: 0013243

Informations de publication

Date de publication:
Jan 2023
Historique:
received: 30 11 2022
revised: 25 12 2022
accepted: 29 12 2022
entrez: 27 3 2023
pubmed: 28 3 2023
medline: 28 3 2023
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 36970485
doi: 10.4103/ija.ija_974_22
pii: IJA-67-146
pmc: PMC10034926
doi:

Types de publication

Journal Article

Langues

eng

Pagination

146-151

Informations de copyright

Copyright: © 2023 Indian Journal of Anaesthesia.

Déclaration de conflit d'intérêts

There are no conflicts of interest.

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Auteurs

Bhavna Gupta (B)

Department of Anaesthesiology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.

Nishant Sahay (N)

Department of Anaesthesiology, All India Institute of Medical Sciences, Patna, Bihar, India.

Krishnagopal Vinod (K)

Department of Anaesthesiology, Sree Balaji Medical College and Hospital, Chennai, Tamil Nadu, India.

Kirandeep Sandhu (K)

Department of Anaesthesiology, Wockhardt Hospital, Nashik, Maharashtra, India.

Hariprasad Reddy Basireddy (HR)

Department of Anaesthesiology, Narayana Medical College, Nellore, Andhra Pradesh, India.

Rama Krishna Reddy Mudiganti (RKR)

Department of Anaesthesiology, MediCiti Institute of Medical Sciences, Hyderabad, Telangana, India.

Classifications MeSH