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Shining light on the future of radiology: addressing medical students' perceptions.

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Title: Shining light on the future of radiology: addressing medical students' perceptions.
Authors: Hoffmann, Emily1 (AUTHOR), Ristow, Inka2 (AUTHOR) i.ristow@uke.de
Source: European Radiology. Sep2025, Vol. 35 Issue 9, p5437-5439. 3p.
Subjects: Radiology, Medical students, Outreach programs, Patient-professional relations, Curriculum change, Employee attitudes, Artificial intelligence, Teaching methods
Abstract: The article examines the challenges faced by the field of radiology in attracting medical students to pursue it as a career, despite its recognized clinical importance. A study conducted by Seng et al. surveyed 1,184 medical students in Austria, Germany, and Switzerland, revealing that while 99% acknowledged radiology's relevance, 64% ruled out a career in the specialty, primarily due to perceived limited patient interaction and concerns about artificial intelligence (AI) replacing radiologists. The findings suggest a need for curricular reforms to enhance student exposure to radiology and address misconceptions about AI's role in the field. The article advocates for innovative educational strategies and outreach programs to foster interest in radiology among future physicians. [Extracted from the article]
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.)
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  Data: Shining light on the future of radiology: addressing medical students' perceptions.
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  Data: <searchLink fieldCode="AR" term="%22Hoffmann%2C+Emily%22">Hoffmann, Emily</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ristow%2C+Inka%22">Ristow, Inka</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> i.ristow@uke.de</i>
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  Data: <searchLink fieldCode="JN" term="%22European+Radiology%22">European Radiology</searchLink>. Sep2025, Vol. 35 Issue 9, p5437-5439. 3p.
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  Data: <searchLink fieldCode="DE" term="%22Radiology%22">Radiology</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+students%22">Medical students</searchLink><br /><searchLink fieldCode="DE" term="%22Outreach+programs%22">Outreach programs</searchLink><br /><searchLink fieldCode="DE" term="%22Patient-professional+relations%22">Patient-professional relations</searchLink><br /><searchLink fieldCode="DE" term="%22Curriculum+change%22">Curriculum change</searchLink><br /><searchLink fieldCode="DE" term="%22Employee+attitudes%22">Employee attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Teaching+methods%22">Teaching methods</searchLink>
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  Data: The article examines the challenges faced by the field of radiology in attracting medical students to pursue it as a career, despite its recognized clinical importance. A study conducted by Seng et al. surveyed 1,184 medical students in Austria, Germany, and Switzerland, revealing that while 99% acknowledged radiology's relevance, 64% ruled out a career in the specialty, primarily due to perceived limited patient interaction and concerns about artificial intelligence (AI) replacing radiologists. The findings suggest a need for curricular reforms to enhance student exposure to radiology and address misconceptions about AI's role in the field. The article advocates for innovative educational strategies and outreach programs to foster interest in radiology among future physicians. [Extracted from the article]
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  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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      – Type: doi
        Value: 10.1007/s00330-025-11615-z
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        Text: English
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        StartPage: 5437
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      – SubjectFull: Radiology
        Type: general
      – SubjectFull: Medical students
        Type: general
      – SubjectFull: Outreach programs
        Type: general
      – SubjectFull: Patient-professional relations
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      – SubjectFull: Curriculum change
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      – SubjectFull: Employee attitudes
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      – SubjectFull: Artificial intelligence
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      – SubjectFull: Teaching methods
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              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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