Evidence map›Paper›PMID 40958979›Full record

ArticleFrontiers in digital health2025

Pathologists' user experience in the era of digital pathology: a KAP study in a region of emerging digitization.

Maher A Sughayer, Lina Souan, Joud S Tadros

Abstract read
In one paragraph

Article in Frontiers in digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Maher A Sughayer *Department of Pathology and Laboratory Medicine, King Hussein Cancer Center, Amman, Jordan.
Lina Souan *Department of Pathology and Laboratory Medicine, King Hussein Cancer Center, Amman, Jordan.
Joud S TadrosSchool of Medicine, Jordan University, Amman, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Information regarding the use of digital pathology (DP) in developing countries is limited. Additionally, the knowledge and attitudes/perceptions of pathologists are mainly unknown. In this study, we aim to assess the knowledge and attitudes of Jordanian pathologists on DP and artificial intelligence (AI). Methods: A digital survey consisting of 32 questions was constructed using Google Forms and sent to practicing pathologists across all sectors in Jordan. The results were analyzed using descriptive statistics. Results: Forty pathologists representing university hospitals, the Ministry of Health, the Royal Medical Services (RMS), and the private sector (PS) participated in the study. 69.2% of participants had average/above-average knowledge of DP. 77.8% of participants without scanners were interested in obtaining one if funds were available, and 85% were likely or very likely to use it for diagnostic purposes. In comparison, 92.5% were very likely to use it for consultation. Cases diagnosed using DP represent 10%. 85% of participants expressed interest in attending sessions at a national congress on DP, and 37.5% currently use AI platforms. Approximately 65% of people with DP didn't follow any guidelines. Seventy-one percent and twenty-nine percent of the guidelines used were from the College of American Pathologists (CAP) and the Royal College of Pathologists (RCP), respectively. At the same time, all pathologists believed the Jordanian Pathologists Society should develop its guidelines. 76.9% thought that a lack of funds was the primary obstacle to adopting DP. In comparison, a lack of infrastructure and experience ranked second, with 40% indicating a lack of interest or a preference for glass slides as obstacles. As for the primary use of DP, 86.8%, 73.7%, 63.2%, 50%, 44.7%, and 44.7% would use it for consultation, education, research, diagnosis, archiving cases, and tumor boards, respectively. Conclusions: Although digital pathology and slide scanners are limited in Jordan, most pathologists are willing to adopt their use, provided that the significant challenges of a lack of funding and inadequate infrastructure are addressed. The primary uses of DP in Jordan seem to be related to consultations and research.

Indexed as

artificial intelligencedigital pathologyJordanperceptionsurvey

Identifiers

PMID40958979
PMCPMC12434013

What Socratic holds

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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.