Evidence map›Paper›PMID 41346940›Full record

ArticleDigital health

From awareness to action: A nationwide survey of infectious diseases and clinical microbiology physicians' perspectives on artificial intelligence in clinical practice.

Ezgi Gülten, Okan Derin, Eyüp Arslan, Ceren Atasoy Tahtasakal, Fatih Temoçin, Funda Memişoğlu, Nazlım Aktuğ Demir

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ezgi GültenDepartment of Infectious Diseases and Clinical Microbiology, Ankara University, Faculty of Medicine, Ankara, Türkiye.ORCID https://orcid.org/0000-0003-0248-7716
Okan DerinDepartment of Infectious Diseases and Clinical Microbiology, University of Health Sciences, İstanbul Şişli Hamidiye Etfal Training and Research Hospital, İstanbul, Türkiye.ORCID https://orcid.org/0000-0001-6311-5428
Eyüp ArslanDepartment of Infectious Diseases and Clinical Microbiology, University of Health Sciences, Sancaktepe Şehit Prof. Dr İlhan Varank Training and Research Hospital, İstanbul, Türkiye.ORCID https://orcid.org/0000-0002-5490-465X
Ceren Atasoy TahtasakalDepartment of Infectious Diseases and Clinical Microbiology, University of Health Sciences, İstanbul Şişli Hamidiye Etfal Training and Research Hospital, İstanbul, Türkiye.ORCID https://orcid.org/0000-0003-0392-229X
Fatih TemoçinDepartment of Clinical Microbiology and Infectious Diseases, Ondokuz Mayıs University, School of Medicine, Samsun, Türkiye.ORCID https://orcid.org/0000-0002-4819-8242
Funda MemişoğluDepartment of Infectious Diseases and Clinical Microbiology, İnönü University, Faculty of Medicine, Malatya, Türkiye.
Nazlım Aktuğ DemirDepartment of Infectious Diseases and Clinical Microbiology, Selçuk University, Faculty of Medicine, Konya, Türkiye.ORCID https://orcid.org/0000-0002-4703-0827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The integration of artificial intelligence (AI) into clinical practice is gaining momentum globally, yet specialty-specific perspectives remain underexplored. This study aimed to assess the awareness, knowledge, attitudes, expectations, and concerns of infectious diseases and clinical microbiology (IDCM) physicians regarding AI applications in their field. Methods: A cross-sectional, online survey was distributed between May and June 2025 to IDCM physicians across Türkiye. The questionnaire included multiple-choice, Likert-type, and open-ended items assessing sociodemographic characteristics, AI familiarity, clinical use, and perceptions. Descriptive and inferential statistics, along with thematic analysis of qualitative responses, were employed. Results: In total, 387 IDCM physicians completed the survey. While 0.5% ( Conclusions: This study provides comprehensive insights into IDCM physicians' perspectives on AI. Findings highlight strong interest but limited preparedness, underscoring the need for targeted education, ethical safeguards, and inclusive policy frameworks to ensure responsible AI integration.

Indexed as

Artificial intelligenceclinical microbiologydigital healthinfectious diseasesphysician attitudes

Identifiers

PMID41346940
PMCPMC12673049

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.