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Innovative Journal of Medical Imaging

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eISSN: 3048-5568

Short Communication

Rise of the Augmented Radiologist: A Vision for 2035

Innovative Journal of Medical Imaging | Volume 2, Issue 3 | September 2025
Authors: Prashant Kumar Jha*
Received: Aug 02, 2025 Accepted: Sep 15, 2025 Published: Sep 20, 2025
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Abstract

Artificial intelligence (AI) is rapidly transforming diagnostic imaging, with developments in deep learning, automated triage systems, and advanced decision-support tools progressively reshaping radiological practice. By 2035, the integration of multimodal analytics, computational pathology, and real-time clinical prediction models is expected to converge toward a new paradigm: the augmented radiologist. This model envisions enhanced diagnostic accuracy, improved workflow efficiency, and expanded clinical roles, driven by AI-enabled automation and human–machine collaboration. Through a narrative review of current literature, this paper examines the technical foundations underlying radiology augmentation, evaluates the projected clinical and workflow implications, and identifies challenges related to dataset bias, validation standards, ethical governance, and medico-legal considerations. Evidence suggests that augmentation rather than replacement of radiologists will dominate the future of imaging, as human expertise remains essential for contextual interpretation, ethical oversight, and complex clinical decision-making. This manuscript provides a forward-looking analysis to guide institutions, policymakers, and educators in preparing for the radiology workforce of 2035.

Keywords: Artificial Intelligence; Augmented Radiology; Diagnostic Imaging

Article Information
DOI: 10.62502/ijmi/v2i3art5
Journal: Innovative Journal of Medical Imaging
Abbreviation: Innov. J. Med. Imaging
ISSN (Online): 3048-5568
Volume/Issue: 2(3)
Pages: 23-25
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How to Cite
Vancouver Style:
Jha* PK. Rise of the Augmented Radiologist: A Vision for 2035. Innov. J. Med. Imaging 2025;2(3):23-25. doi: 10.62502/ijmi/v2i3art5
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Article Details

Article Type:
Short Communication

Volume/Issue:
2(3)

Year:
2025

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