How do providers of artificial intelligence (AI) solutions propose and legitimize the values of their solutions for supporting diagnostic radiology workflow? A technography study in 2021

Article Radiology, Nuclear Medicine & Medical Imaging

Applications of artificial intelligence (AI) in diagnostic radiology: a technography study

Mohammad Hosein Rezazade Mehrizi et al.

Summary: The study systematically analyzed the landscape of AI applications in diagnostic radiology, finding that the majority of AI applications are narrow in terms of tasks, modality, and anatomic region. Most AI functionalities focus on supporting perception and reasoning in the radiology workflow.

EUROPEAN RADIOLOGY (2021)

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Editorial Material Radiology, Nuclear Medicine & Medical Imaging

Challenges and solutions for introducing artificial intelligence (AI) in daily clinical workflow

Elmar Kotter et al.

EUROPEAN RADIOLOGY (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging

How does the radiology community discuss the benefits and limitations of artificial intelligence for their work? A systematic discourse analysis

Bomi Kim et al.

Summary: The analysis found that the discourse on AI within the radiology community is active but lacks precision in context and temporal focus, and presents both optimistic and pessimistic views. More constructive conversations are needed, along with a balance between the optimistic and pessimistic perspectives.

EUROPEAN JOURNAL OF RADIOLOGY (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging

An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude

Merel Huisman et al.

Summary: The attitude of radiologists and residents towards artificial intelligence (AI) is influenced by their level of knowledge about AI. Lower levels of AI-specific knowledge are associated with fear, while intermediate to advanced knowledge levels are associated with a positive attitude towards AI.

EUROPEAN RADIOLOGY (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging

An international survey on AI in radiology in 1041 radiologists and radiology residents part 2: expectations, hurdles to implementation, and education

Merel Huisman et al.

Summary: In the field of radiology, the majority of respondents anticipate that artificial intelligence will bring about changes within the next decade, primarily in assisting diagnosis and optimizing workflow. The survey highlighted main hurdles to AI implementation including ethical and legal issues, as well as lack of knowledge. While most support incorporating AI into residency programs, there is less support for imaging informatics and AI as a standalone subspecialty.

EUROPEAN RADIOLOGY (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging

Artificial intelligence in radiology: 100 commercially available products and their scientific evidence

Kicky G. van Leeuwen et al.

Summary: Among the 100 CE-marked AI products in the field of radiology, 64 lack peer-reviewed evidence, with only 18 proving to have potential clinical impact.

EUROPEAN RADIOLOGY (2021)

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Article Radiology, Nuclear Medicine & Medical Imaging