SIGGRAPH for Health: Engaging Successfully in the Next Disruptions

The intersection of technology and healthcare offers rich opportunities for rethinking research, industry and education in computer graphics and interactive techniques. This article presents the SIGGRAPH for Health workshop, which brings together diverse contributions from academia, medical practice and art. The inputs highlight the complex and interdisciplinary nature of the subject and provide exciting precedents and inspiration for the future of the conference.

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Published
2025-08-10
DOI
https://doi.org/10.1145/3736539.3748300
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
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SIGGRAPH for Health: Engaging Successfully in the Next Disruptions

Oliver Alan Kannape, Till N. Schnabel, Claudia Krebs, Nicolas Henchoz et al.
Machine Learning in Healthcare
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SIGGRAPH for Health: Engaging Successfully in the Next Disruptions

Oliver Alan Kannape, Till N. Schnabel, Claudia Krebs, Nicolas Henchoz, Marta Syrko
article en

Abstract

The intersection of technology and healthcare offers rich opportunities for rethinking research, industry and education in computer graphics and interactive techniques. This article presents the SIGGRAPH for Health workshop, which brings together diverse contributions from academia, medical practice and art. The inputs highlight the complex and interdisciplinary nature of the subject and provide exciting precedents and inspiration for the future of the conference.

University of British Columbia (CA), ETH Zurich (CH), University Hospital of Geneva (CH), Electron (Ukraine) (UA), École Polytechnique Fédérale de Lausanne (CH)
Openalex Percentile: Top 89%
Machine Learning in Healthcare
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