Commentary: 'Vibe Coding' and AI Are Reshaping What Counts as Research Expertise in Radiology

A JACR perspective argues that AI-assisted 'vibe coding' — generating functional code from natural-language prompts without deep programming knowledge — is redefining the expertise required to conduct radiology research, with implications for how the field trains and evaluates i…

• Opinion/perspective piece in JACR; no primary dataset, sample size, or quantitative results — arguments are conceptual rather than empirical.
• 'Vibe coding' (term coined by AI researcher Andrej Karpathy) lets researchers produce analytical code via AI prompts, potentially lowering the technical barrier to computational radiology research while raising new questions about rigor and reproducibility.
• Key limitation: as a commentary, claims are not empirically tested; real-world impact on research quality or training outcomes is not measured in this source.

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