Evidence map›Paper›PMID 36970485›Full record

ArticleIndian journal of anaesthesia2023

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

Bhavna Gupta, Nishant Sahay, Krishnagopal Vinod, Kirandeep Sandhu, Hariprasad Reddy Basireddy, Rama Krishna Reddy Mudiganti

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of anaesthesia, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.4field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
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  4. Reshaping Anesthesia with Artificial Intelligence: From Concept to Reality.Anesthesia and critical care (Houston, Tex.) · 2025
    Article
  5. Review
  6. Review
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 2 countries.

Bhavna GuptaDepartment of Anaesthesiology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Nishant SahayDepartment of Anaesthesiology, All India Institute of Medical Sciences, Patna, Bihar, India.
Krishnagopal VinodDepartment of Anaesthesiology, Sree Balaji Medical College and Hospital, Chennai, Tamil Nadu, India.
Kirandeep SandhuDepartment of Anaesthesiology, Wockhardt Hospital, Nashik, Maharashtra, India.
Hariprasad Reddy BasireddyDepartment of Anaesthesiology, Narayana Medical College, Nellore, Andhra Pradesh, India.
Rama Krishna Reddy MudigantiDepartment of Anaesthesiology, MediCiti Institute of Medical Sciences, Hyderabad, Telangana, India.
Wockhardt Hospitals · INAll India Institute of Medical Sciences · INAll India Institute of Medical Sciences RishikeshCreative Commons · USNarayana Dental College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Artificial intelligencemachine learningmanagement information systemssupervised machine learningunsupervised machine learning

Identifiers

PMID36970485
PMCPMC10034926
OpenAlexW4320006372

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.