Evidence map›Paper›PMID 32287130›Full record

ReviewAnesthesia and analgesia2020

Science Without Conscience Is but the Ruin of the Soul: The Ethics of Big Data and Artificial Intelligence in Perioperative Medicine.

Cecilia Canales, Christine Lee, Maxime Cannesson

Open access · greenAbstract readReview
In one paragraph

Review in Anesthesia and analgesia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 37 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Cecilia CanalesFrom the Department of Anesthesiology and Perioperative Medicine, University of California Los Angeles (UCLA) David Geffen School of Medicine, Los Angeles, California.
Christine LeeDepartment of Biomedical Engineering, University of California, Irvine, Irvine, California.
Maxime CannessonFrom the Department of Anesthesiology and Perioperative Medicine, University of California Los Angeles (UCLA) David Geffen School of Medicine, Los Angeles, California.
University of California, Los Angeles · USUniversity of California, Irvine · US

Funding

Machine Learning of Physiological Waveforms and Electronic Health Record Data to Predict, Diagnose, and Treat Hemodynamic Instability in Surgical PatientsR01HL144692 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANNESSON, MAXIME · 2019 to 2023
$3.5M
Biomedical Informatics Tools for Applied Perioperative PhysiologyR01EB029751 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CANNESSON, MAXIME · 2020 to 2023
$2.5M
NHLBI NIH HHS R01 HL144692NIBIB NIH HHS R01 EB029751
6 · The paper itself

Abstract

Artificial intelligence-driven anesthesiology and perioperative care may just be around the corner. However, its promises of improved safety and patient outcomes can only become a reality if we take the time to examine its technical, ethical, and moral implications. The aim of perioperative medicine is to diagnose, treat, and prevent disease. As we introduce new interventions or devices, we must take care to do so with a conscience, keeping patient care as the main objective, and understanding that humanism is a core component of our practice. In our article, we outline key principles of artificial intelligence for the perioperative physician and explore limitations and ethical challenges in the field.

Indexed as

AlgorithmsBig DataConscienceArtificial IntelligenceHumansPerioperative MedicinePhysicians

Identifiers

PMID32287130
PMCPMC7519874
OpenAlexW3016206411

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.