Workload of diagnostic radiologists in the foreseeable future based on recent (2024) scientific advances: Updated growth expectations

IF 3.2 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology Pub Date : 2025-04-07 DOI:10.1016/j.ejrad.2025.112103

Thomas C. Kwee , Robert M. Kwee

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引用次数: 0

Abstract

Purpose

To assess the expected impact of the 2024 medical imaging literature on the workload of diagnostic radiologists.

Methods

A random sample of 416 articles on diagnostic imaging that was published in 2024 was reviewed by one radiologist working in an academic tertiary care center and another radiologist working in a non-academic general teaching hospital.

Results

In the academic tertiary care hospital setting, 56.5 % (235/416) of articles had the potential to directly impact patient care, of which 48.9 % (115/235) would increase workload, 48.1 % (113/235) would not change workload, 0.4 % (1/235) would decrease workload, and 2.6 % (6/235) had an unclear effect on workload. Studies with Artificial Intelligence (AI) as primary research area were significantly (P < 0.001) more likely to increase workload compared to studies with another primary research area, with an Odds Ratio (OR) of 14.3 (95 % confidence interval [CI]: 4.2 to 48.2). In the non-academic general teaching hospital setting, 56.5 % (231/416) of articles had the potential to directly impact patient care, of which 48.9 % (113/231) would increase workload, 48.1 % (111/231) would not change workload, 0.4 % (1/231) would decrease workload, and 2.6 % (6/231) had an unclear effect on workload. Studies with AI as primary research area were significantly (P < 0.001) more likely to increase workload compared to studies with another primary research area, with an OR of 13.7 (95 % CI: 4.1 to 46.5).

Conclusion

The workload of diagnostic radiologists is expected to increase based on recent (2024) scientific literature, and AI applications generally seem to have an aggravating effect on workload.

查看原文本刊更多论文

基于最近（2024年）的科学进展，诊断放射科医生在可预见的未来的工作量：更新的增长预期

目的评估2024年医学影像文献对放射诊断医师工作量的预期影响。方法由一名在学术性三级医疗中心工作的放射科医师和另一名在非学术性综合教学医院工作的放射科医师对2024年发表的416篇医学影像诊断文献进行随机抽样审查。结果在学术性三级护理医院环境中，56.5%（235/416）的文章有可能直接影响患者护理，其中48.9%（115/235）的文章会增加工作量，48.1%（113/235）的文章不会改变工作量，0.4%（1/235）的文章会减少工作量，2.6%（6/235）的文章对工作量的影响不明确。以人工智能（AI）为主要研究领域的研究与以其他研究领域为主要研究领域的研究相比，增加工作量的可能性明显更高（P < 0.001），两者的比值比（OR）为 14.3（95 % 置信区间 [CI]：4.2 至 48.2）。在非学术性综合教学医院环境中，56.5%（231/416）的文章有可能直接影响患者护理，其中48.9%（113/231）的文章会增加工作量，48.1%（111/231）的文章不会改变工作量，0.4%（1/231）的文章会减少工作量，2.6%（6/231）的文章对工作量的影响不明确。以人工智能为主要研究领域的研究与以其他研究领域为主要研究领域的研究相比，增加工作量的可能性明显更高（P < 0.001），OR 值为 13.7（95 % CI：4.1 至 46.5）。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European Journal of Radiology 医学-核医学

CiteScore

6.70

自引率

3.00%

发文量

398

审稿时长

42 days

期刊介绍： European Journal of Radiology is an international journal which aims to communicate to its readers, state-of-the-art information on imaging developments in the form of high quality original research articles and timely reviews on current developments in the field. Its audience includes clinicians at all levels of training including radiology trainees, newly qualified imaging specialists and the experienced radiologist. Its aim is to inform efficient, appropriate and evidence-based imaging practice to the benefit of patients worldwide.