Evidence map›Paper›PMID 33150764›Full record

ArticleCroatian medical journal2020

The importance of introducing artificial intelligence to the medical curriculum - assessing practitioners' perspectives.

Ivo Dumić-Čule, Tin Orešković, Boris Brkljačić, Mirjana Kujundžić Tiljak, Stjepan Orešković

Open access · diamondAbstract read
In one paragraph

Article in Croatian medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 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

5 authors at 3 institutions in 1 country.

Ivo Dumić-ČuleIvo Dumić-Čule, Children`s Hospital Srebrnjak, Srebrnjak 100, 10000 Zagreb, Croatia, ivodc1@gmail.com.
Tin Orešković
Boris Brkljačić
Mirjana Kujundžić Tiljak
Stjepan Orešković
Andrija Stampar Teaching Institute of Public Health · HRChildren's Hospital Srebrnjak · HRUniversity of Zagreb · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo assess the attitude about the importance of introducing education on artificial intelligence (AI) in medical schools' curricula among physicians whose everyday job is significantly impacted by AI.

methodsAn anonymous questionnaire was distributed at the national level in Croatia among radiologists and radiology residents practicing in primary, secondary, and tertiary health care institutions, both in the private and the public sectors. The overall response rate was 45% (144 of 321).

resultsA large majority of participants - 89.6% (95% Agresti-Coull confidence interval 0.83-0.94) agreed on the need for education on AI to be included in medical curricula. Answers revealed a very high support across age groups and regardless of subspecialty area. A slightly higher support was present among physicians working in university hospitals compared with those in primary care centers, and among radiology residents compared with radiologists - but these estimated differences are uncertain, and the support levels were clearly high across the considered variables.

conclusionSince medical students have previously been shown to support introducing education on AI, a growing literature argues the same for reasons here reviewed, and physicians practicing a highly relevant area (radiology) overwhelmingly agree, we conclude that medical schools should indeed take steps to keep pace with technological progress in medicine by including education on AI in their curricula, be it as part of existing or new courses.

Indexed as

Artificial IntelligenceAttitude of Health PersonnelCurriculumCareer ChoiceCroatiaFemaleHumansMalePrimary Health CareRadiologySchools, MedicalStudents, MedicalSurveys and Questionnaires

Identifiers

PMID33150764
PMCPMC7684542
OpenAlexW3094858067

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.