The Evidence Needed to Adopt Artificial Intelligence into Clinical Practice: Mammography Screening an Exemplar

Nehmat HOUSSAMI

doi:10.1117/12.2586556

15 February 2021 The Evidence Needed to Adopt Artificial Intelligence into Clinical Practice: Mammography Screening an Exemplar

Nehmat HOUSSAMI

Author Affiliations +

Proceedings Volume 11599, Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment; 1159903 (2021) https://doi.org/10.1117/12.2586556
Event: SPIE Medical Imaging, 2021, Online Only

Abstract

Mammography screening for breast cancer is an exemplar of an emerging role for artificial intelligence (AI) in image interpretation. Focusing on AI for mammography, the presentation will outline the need to build the evidence base to enable broader adoption of AI in health systems. This includes shifting research focus from early studies of AI development and validation using standardised cancer-enriched imaging datasets, to large scale comparative studies that improve the quality and generalisability of the evidence. Other challenges for the adoption of AI into practice will also be discussed to inform research.

Conference Presentation

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Nehmat HOUSSAMI "The Evidence Needed to Adopt Artificial Intelligence into Clinical Practice: Mammography Screening an Exemplar", Proc. SPIE 11599, Medical Imaging 2021: Image Perception, Observer Performance, and Technology Assessment, 1159903 (15 February 2021); https://doi.org/10.1117/12.2586556

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