Evidence map›Paper›PMID 38980160›Full record

ArticleAnesthesiology2024

Artificial Intelligence in Perioperative Care: Opportunities and Challenges.

Lichy Han, Danton S Char, Nima Aghaeepour, Stanford Anesthesia AI Working Group

Abstract read
In one paragraph

Article in Anesthesiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Inflammatory Stewardship-A Perspective for Active Management of Acute Inflammation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
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

4 authors.

Lichy HanDepartment of Anesthesiology, Perioperative, and Pain Medicine, School of Medicine, Stanford University, Stanford, California.
Danton S CharDepartment of Anesthesiology, Perioperative, and Pain Medicine, School of Medicine, Stanford University, Stanford, California.
Nima AghaeepourDepartment of Anesthesiology, Perioperative, and Pain Medicine, School of Medicine, Stanford University, Stanford, California.ORCID 0000-0002-6117-8764
Stanford Anesthesia AI Working Group

Funding

Precision Targeting of Aldehyde Pathways for Patients Requiring AnesthesiaR35GM119522 · NIGMS · STANFORD UNIVERSITY · PI Eric Richard Gross · 2016 to 2026
$5.1M
Machine Learning for Integrative Modeling of the Immune System in Clinical SettingsR35GM138353 · NIGMS · STANFORD UNIVERSITY · PI AGHAEEPOUR, NIMA · 2020 to 2024
$2.2M
Population-level Pulmonary Embolism Outcome Prediction with Imaging and Clinical Data: A Multi-Center StudyR01HL155410 · NHLBI · STANFORD UNIVERSITY · PI LANGLOTZ, CURTIS P, SHAH, NIGAM H · 2021 to 2024
$2.1M
Autonomous AI to mitigate disparities for diabetic retinopathy screening in youth during and after COVID-19R01EY033233 · NEI · JOHNS HOPKINS UNIVERSITY · PI WOLF, RISA MICHELLE · 2021 to 2023
$1.9M
NEI NIH HHS R01 EY033233NHLBI NIH HHS R01 HL155410NIGMS NIH HHS R35 GM119522NIGMS NIH HHS R35 GM138353
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligencePerioperative CareHumans

Identifiers

PMID38980160
PMCPMC11239120

What OpenQuestion holds

Textmetadata
LicenceTDM
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.