ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment—practice recommendations by the European Society of Medical Imaging Informatics.
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| Title: | ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment—practice recommendations by the European Society of Medical Imaging Informatics. |
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| Authors: | Kemper, Erik H. M.1 (AUTHOR), Erenstein, Hendrik2,3,4 (AUTHOR), Boverhof, Bart-Jan5 (AUTHOR), Redekop, Ken5 (AUTHOR), Andreychenko, Anna E.6,7 (AUTHOR), Dietzel, Matthias8 (AUTHOR), Groot Lipman, Kevin B. W.9,10 (AUTHOR), Huisman, Merel11 (AUTHOR), Klontzas, Michail E.12,13,14 (AUTHOR), Vos, Frans1,15 (AUTHOR), IJzerman, Maarten5 (AUTHOR), Starmans, Martijn P. A.1,16 (AUTHOR), Visser, Jacob J.1 (AUTHOR) j.j.visser@erasmusmc.nl |
| Source: | European Radiology. Jun2025, Vol. 35 Issue 6, p3432-3441. 10p. |
| Subjects: | Radiology, Value (Economics), Patient-centered care, Health services accessibility, Evaluation methodology, Digital health, Medical technology, Medical practice |
| Abstract: | AI tools in radiology are revolutionising the diagnosis, evaluation, and management of patients. However, there is a major gap between the large number of developed AI tools and those translated into daily clinical practice, which can be primarily attributed to limited usefulness and trust in current AI tools. Instead of technically driven development, little effort has been put into value-based development to ensure AI tools will have a clinically relevant impact on patient care. An iterative comprehensive value evaluation process covering the complete AI tool lifecycle should be part of radiology AI development. For value assessment of health technologies, health technology assessment (HTA) is an extensively used and comprehensive method. While most aspects of value covered by HTA apply to radiology AI, additional aspects, including transparency, explainability, and robustness, are unique to radiology AI and crucial in its value assessment. Additionally, value assessment should already be included early in the design stage to determine the potential impact and subsequent requirements of the AI tool. Such early assessment should be systematic, transparent, and practical to ensure all stakeholders and value aspects are considered. Hence, early value-based development by incorporating early HTA will lead to more valuable AI tools and thus facilitate translation to clinical practice. Clinical relevance statement: This paper advocates for the use of early value-based assessments. These assessments promote a comprehensive evaluation on how an AI tool in development can provide value in clinical practice and thus help improve the quality of these tools and the clinical process they support. Key Points: Value in radiology AI should be perceived as a comprehensive term including health technology assessment domains and AI-specific domains. Incorporation of an early health technology assessment for radiology AI during development will lead to more valuable radiology AI tools. Comprehensive and transparent value assessment of radiology AI tools is essential for their widespread adoption. [ABSTRACT FROM AUTHOR] |
| Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 185184255 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment—practice recommendations by the European Society of Medical Imaging Informatics. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kemper%2C+Erik+H%2E+M%2E%22">Kemper, Erik H. M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Erenstein%2C+Hendrik%22">Erenstein, Hendrik</searchLink><relatesTo>2,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Boverhof%2C+Bart-Jan%22">Boverhof, Bart-Jan</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Redekop%2C+Ken%22">Redekop, Ken</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Andreychenko%2C+Anna+E%2E%22">Andreychenko, Anna E.</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dietzel%2C+Matthias%22">Dietzel, Matthias</searchLink><relatesTo>8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Groot+Lipman%2C+Kevin+B%2E+W%2E%22">Groot Lipman, Kevin B. W.</searchLink><relatesTo>9,10</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Huisman%2C+Merel%22">Huisman, Merel</searchLink><relatesTo>11</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Klontzas%2C+Michail+E%2E%22">Klontzas, Michail E.</searchLink><relatesTo>12,13,14</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vos%2C+Frans%22">Vos, Frans</searchLink><relatesTo>1,15</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22IJzerman%2C+Maarten%22">IJzerman, Maarten</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Starmans%2C+Martijn+P%2E+A%2E%22">Starmans, Martijn P. A.</searchLink><relatesTo>1,16</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Visser%2C+Jacob+J%2E%22">Visser, Jacob J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> j.j.visser@erasmusmc.nl</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Jun2025, Vol. 35 Issue 6, p3432-3441. 10p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Radiology%22">Radiology</searchLink><br /><searchLink fieldCode="DE" term="%22Value+%28Economics%29%22">Value (Economics)</searchLink><br /><searchLink fieldCode="DE" term="%22Patient-centered+care%22">Patient-centered care</searchLink><br /><searchLink fieldCode="DE" term="%22Health+services+accessibility%22">Health services accessibility</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+health%22">Digital health</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+technology%22">Medical technology</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+practice%22">Medical practice</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: AI tools in radiology are revolutionising the diagnosis, evaluation, and management of patients. However, there is a major gap between the large number of developed AI tools and those translated into daily clinical practice, which can be primarily attributed to limited usefulness and trust in current AI tools. Instead of technically driven development, little effort has been put into value-based development to ensure AI tools will have a clinically relevant impact on patient care. An iterative comprehensive value evaluation process covering the complete AI tool lifecycle should be part of radiology AI development. For value assessment of health technologies, health technology assessment (HTA) is an extensively used and comprehensive method. While most aspects of value covered by HTA apply to radiology AI, additional aspects, including transparency, explainability, and robustness, are unique to radiology AI and crucial in its value assessment. Additionally, value assessment should already be included early in the design stage to determine the potential impact and subsequent requirements of the AI tool. Such early assessment should be systematic, transparent, and practical to ensure all stakeholders and value aspects are considered. Hence, early value-based development by incorporating early HTA will lead to more valuable AI tools and thus facilitate translation to clinical practice. Clinical relevance statement: This paper advocates for the use of early value-based assessments. These assessments promote a comprehensive evaluation on how an AI tool in development can provide value in clinical practice and thus help improve the quality of these tools and the clinical process they support. Key Points: Value in radiology AI should be perceived as a comprehensive term including health technology assessment domains and AI-specific domains. Incorporation of an early health technology assessment for radiology AI during development will lead to more valuable radiology AI tools. Comprehensive and transparent value assessment of radiology AI tools is essential for their widespread adoption. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of European Radiology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00330-024-11188-3 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 10 StartPage: 3432 Subjects: – SubjectFull: Radiology Type: general – SubjectFull: Value (Economics) Type: general – SubjectFull: Patient-centered care Type: general – SubjectFull: Health services accessibility Type: general – SubjectFull: Evaluation methodology Type: general – SubjectFull: Digital health Type: general – SubjectFull: Medical technology Type: general – SubjectFull: Medical practice Type: general Titles: – TitleFull: ESR Essentials: how to get to valuable radiology AI: the role of early health technology assessment—practice recommendations by the European Society of Medical Imaging Informatics. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kemper, Erik H. M. – PersonEntity: Name: NameFull: Erenstein, Hendrik – PersonEntity: Name: NameFull: Boverhof, Bart-Jan – PersonEntity: Name: NameFull: Redekop, Ken – PersonEntity: Name: NameFull: Andreychenko, Anna E. – PersonEntity: Name: NameFull: Dietzel, Matthias – PersonEntity: Name: NameFull: Groot Lipman, Kevin B. W. – PersonEntity: Name: NameFull: Huisman, Merel – PersonEntity: Name: NameFull: Klontzas, Michail E. – PersonEntity: Name: NameFull: Vos, Frans – PersonEntity: Name: NameFull: IJzerman, Maarten – PersonEntity: Name: NameFull: Starmans, Martijn P. A. – PersonEntity: Name: NameFull: Visser, Jacob J. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09387994 Numbering: – Type: volume Value: 35 – Type: issue Value: 6 Titles: – TitleFull: European Radiology Type: main |
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