<?xml version="1.0"?>
<article xlink="http://www.w3.org/1999/xlink" mml="http://www.w3.org/1998/Math/MathML" xsi="http://www.w3.org/2001/XMLSchema-instance" ali="http://www.niso.org/schemas/ali/1.0/" noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" article-type="research-article" dtd-version="1.1" lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">isrdo-SRJMH</journal-id><journal-id journal-id-type="pmc">isrdo-SRJMH</journal-id><journal-id journal-id-type="nlm-ta">isrdo-SRJMH</journal-id><journal-title-group><journal-title>Scientific Research Journal of Medical and Health Science</journal-title><abbrev-journal-title abbrev-type="publisher" pub-type="epub">SRJMH</abbrev-journal-title></journal-title-group><issn>2584-1521</issn><publisher><publisher-name>ISRDO</publisher-name><publisher-loc>Gujarat,India</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">M-10457</article-id><article-id pub-id-type="doi"/><article-categories><subj-group subj-group-type="categories"><subject>Radiology</subject></subj-group></article-categories><title-group><article-title>Transforming Radiology Practice Through Intelligent Reporting, Workflow Optimization, and Management of Incidental Findings: A Comprehensive Literature Review</article-title></title-group><contrib-group content-type="authors"><contrib id="762" contrib-type="author" corresp="yes"><name><given-names>Adebayo Ogunleye</given-names></name><xref ref-type="aff" rid="aff-1">1</xref><aff id="aff-1"><label>0</label><institution>University of Lagos</institution><country>Nigeria</country></aff></contrib><contrib id="763" contrib-type="author" corresp="yes"><name><given-names>Chinedu Simon</given-names></name><xref ref-type="aff" rid="aff-2">2</xref><aff id="aff-2"><label>1</label><institution>University of Lagos</institution><country>Nigeria</country></aff></contrib></contrib-group><contrib-group content-type="editors"><contrib contrib-type="editor"/></contrib-group><pub-date pub-type="epub" data-type="pub" iso-8601-date="2026-04-15"><day>15</day><month>04</month><year iso-8601-date="2">2026</year></pub-date><volume>3</volume><elocation-id>V3-I2-2025</elocation-id><history><date date-type="received" iso-8601-date="2026-02-12"><day>12</day><month>02</month><year iso-8601-date="2026">2026</year></date><date date-type="revised" iso-8601-date="2026-02-12"><day>12</day><month>02</month><year iso-8601-date="2026"/></date><date date-type="accepted" iso-8601-date="2026-02-12"><day>12</day><month>02</month><year iso-8601-date="2026"/></date></history><permissions><copyright-statement>&#xA9;2026 Adebayo Ogunleye Year Corresponding Author</copyright-statement><copyright-year>2026</copyright-year><copyright-holder>Adebayo Ogunleye</copyright-holder><license href="https://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (ISRDO) and either DOI or URL of the article must be cited.<ext-link ext-link-type="uri" href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link></license-p></license></permissions><self-uri href="https://isrdo.org/journal/SRJMH/currentissue/transforming-radiology-practice-through-intelligent-reporting-workflow-optimization-and-management-of-incidental-findings-a-comprehensive-literature-review"/><abstract><p>Radiology has undergone a significant transformation driven by the increasing complexity of imaging modalities, growing examination volumes, and the demand for higher diagnostic accuracy and efficiency. Central to this evolution are advancements in radiology report generation, workflow optimization, standardization of reporting practices, and the clinical management of incidental findings. This review synthesizes contemporary research to examine how intelligent reporting systems and optimized information management platforms enhance radiology operations and user satisfaction. Additionally, it explores the role of standardized reporting in improving communication, reducing variability, and supporting clinical decision-making. The review further addresses the growing challenge of incidental findings, emphasizing their prevalence, clinical relevance, and implications for patient care and healthcare resource utilization. By integrating these dimensions, this paper provides a comprehensive overview of current developments and identifies critical areas for future improvement in radiology practice.</p></abstract><kwd-group kwd-group-type="author"><kwd>Radiology report generation</kwd><kwd> workflow optimization in radiology</kwd><kwd> standardized radiological reporting</kwd><kwd> incidental findings management</kwd><kwd> diagnostic imaging efficiency</kwd></kwd-group><funding-group><funding-statement>The research, authorship, and publication of this article were not funded by any specific grants from public, commercial, or non-profit agencies.</funding-statement></funding-group></article-meta></front><back><sec sec-type="data-availability"><title>Data Availability</title><p>Not applicable.</p></sec><sec sec-type="COI-statement"><title>Conflicts of Interest</title><p>No conflicts of interest are reported by the authors.</p></sec><sec sec-type="author-contributions"><title>Authors&#x2019; Contributions</title><p>The author takes full responsibility for the entire study process, including design, data collection, analysis, and manuscript writing.</p></sec><sec sec-type="funding-statement"><title>Funding Statement</title><p>The research, authorship, and publication of this article were not funded by any specific grants from public, commercial, or non-profit agencies.</p></sec><sec sec-type="software-information"><title>software-information</title><p>Not applicable.</p></sec><ack><title>Acknowledgments</title><p>Not applicable.</p></ack><ref-list content-type="authoryear"><ref id="1"><label>1</label><element-citation publication-type="journal"><p>-</p></element-citation></ref></ref-list></back></article>
