Evidence map›Paper›PMID 39656312›Full record

ReviewAbdominal radiology (New York)2025

Effective remote clinical teaching: leveraging technology to improve Radiology Case readouts.

Sayf Al-Katib, Andrew Dearden, Monisha Shetty, Alexander Swantek, Majid Khan, Jacob Ghannam, Ali Beydoun, Nathan Kolderman, Kiran Nandalur, Anant Krishnan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Abdominal radiology (New York), 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. Review
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

10 authors.

Sayf Al-KatibCorewell Health William Beaumont University Hospital, Royal Oak, USA. SAlkatib@oakland.edu.
Andrew DeardenCorewell Health William Beaumont University Hospital, Royal Oak, USA.
Monisha ShettyCorewell Health William Beaumont University Hospital, Royal Oak, USA.
Alexander SwantekCorewell Health William Beaumont University Hospital, Royal Oak, USA.
Majid KhanCorewell Health William Beaumont University Hospital, Royal Oak, USA.
Jacob GhannamCorewell Health William Beaumont University Hospital, Royal Oak, USA.
Ali BeydounUniversity of Michigan-Ann Arbor, Ann Arbor, USA.
Nathan KoldermanCorewell Health William Beaumont University Hospital, Royal Oak, USA.
Kiran NandalurCorewell Health William Beaumont University Hospital, Royal Oak, USA.
Anant KrishnanCorewell Health William Beaumont University Hospital, Royal Oak, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The shift to remote learning in medical education is rapidly evolving and likely permanent. The recent increase in remote radiology staffing presents challenges for both educators and trainees. However, many of the barriers to teaching can be overcome by technology. The overarching goal in creating a conducive remote teaching environment is to replicate the in-person experience as much as possible. With that goal in mind, creating an environment with clear expectations, open and effective communication, and defined staffing models promotes education in the remote environment. Video conferencing and messaging applications should be utilized freely to enhance case discussions. While these tools can present barriers for users who are uncomfortable with technology-based solutions, they can result in advantages over in-person education. In this review, we present strategies to help radiology educators enhance clinical teaching in a remote setting.

Indexed as

Education, DistanceRadiologyHumansTeachingVideoconferencingGraduate medical educationRadiology educationRadiology staffingRemote workVirtual teaching

Identifiers

PMID39656312

What OpenQuestion holds

Textmetadata
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.