Evidence map›Paper›PMID 30349085›Full record

ArticleNature medicine2018

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care.

Matthieu Komorowski, Leo A Celi, Omar Badawi, Anthony C Gordon, A Aldo Faisal

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Nature medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07592039 (Research on Intelligent Optimization of Ventilator Parameters for Intensive Care Patients Based on Multimodal Large Models), which is not on this map. Cited by 504 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
504citing papers in PubMed, 3 pooled it
–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.

NCT07592039 completednot on this mapstarted 2021, after this paper: background citation

Research on Intelligent Optimization of Ventilator Parameters for Intensive Care Patients Based on Multimodal Large Models

TypeobservationalSponsorWu RongzhouRan2021 to 2025Enrolled2,000ConditionsAcute Respiratory Distress Syndrome, Pneumonia in Children, Respiratory Failure (Pediatric Patients)
3 · Its place in the literature

Who cites it

504 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Does clinical practice supported by artificial intelligence improve hypertension care management? A pilot systematic review.Hypertension research : official journal of the Japanese Society of Hypertension · 2024
    Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. Observational
  7. Article
  8. Article
  9. Review
  10. Review
  11. Artificial Intelligence in Infectious Diseases and Clinical Microbiology.Infectious diseases & clinical microbiology · 2026
    Review
  12. Review
  13. Article
  14. Review
  15. AI-driven drug design: a comprehensive review.Journal of computer-aided molecular design · 2026
    Review
  16. Review
  17. Technology Review: The Hidden Influence of AI in Orthopaedic Surgery.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026
    Review
  18. Article
  19. Review
  20. Article

444 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Matthieu KomorowskiDepartment of Surgery and Cancer, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-0559-5747
Leo A CeliLaboratory of Computational Physiology, Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6712-6626
Omar BadawiLaboratory of Computational Physiology, Harvard-MIT Division of Health Sciences & Technology, Cambridge, MA, USA.
Anthony C GordonDepartment of Surgery and Cancer, Imperial College London, London, UK. anthony.gordon@imperial.ac.uk.ORCID http://orcid.org/0000-0002-0419-547X
A Aldo FaisalDepartment of Bioengineering, Imperial College London, London, UK. a.faisal@imperial.ac.uk.

Funding

Department of Health RP-2015-06-018
6 · The paper itself

Abstract

Sepsis is the third leading cause of death worldwide and the main cause of mortality in hospitals

Indexed as

Clinical Decision-MakingSoftwareAdministration, IntravenousArtificial IntelligenceCohort StudiesCritical CareFemaleHumansLearningMaleSepsisVasoconstrictor AgentsVasoconstrictor Agents

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.