The radiologist and data: Do we add value or is data just data?

IF 1.8 4区医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Clinical Imaging Pub Date : 2025-04-10 DOI:10.1016/j.clinimag.2025.110481

Elliot K. Fishman , Philippe Soyer , David B. Hellmann , Linda C. Chu

引用次数: 0

Abstract

Artificial intelligence in radiology critically depends on vast amounts of quality data, and there are controversies surrounding the topic of data ownership. In the current clinical framework, the secondary use of clinical data should be treated as a form of public good to benefit future patients. In this article, we propose that the physicians' input in data curation and interpretation adds value to the data and is crucial for building clinically relevant artificial intelligence models.

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放射科医生和数据：我们是在增加价值还是数据只是数据？

放射学中的人工智能严重依赖于大量的高质量数据，围绕数据所有权的话题存在争议。在目前的临床框架下，临床数据的二次使用应被视为一种公益形式，以造福未来的患者。在本文中，我们建议医生在数据管理和解释方面的投入增加了数据的价值，并且对于构建临床相关的人工智能模型至关重要。

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

Clinical Imaging 医学-核医学

CiteScore

4.60

自引率

0.00%

发文量

265

审稿时长

35 days

期刊介绍： The mission of Clinical Imaging is to publish, in a timely manner, the very best radiology research from the United States and around the world with special attention to the impact of medical imaging on patient care. The journal''s publications cover all imaging modalities, radiology issues related to patients, policy and practice improvements, and clinically-oriented imaging physics and informatics. The journal is a valuable resource for practicing radiologists, radiologists-in-training and other clinicians with an interest in imaging. Papers are carefully peer-reviewed and selected by our experienced subject editors who are leading experts spanning the range of imaging sub-specialties, which include: -Body Imaging- Breast Imaging- Cardiothoracic Imaging- Imaging Physics and Informatics- Molecular Imaging and Nuclear Medicine- Musculoskeletal and Emergency Imaging- Neuroradiology- Practice, Policy & Education- Pediatric Imaging- Vascular and Interventional Radiology