The AIR·MS data platform for artificial intelligence in healthcare

AIR·MS provides a scalable, secure, and collaborative platform for AI-enabled healthcare research on multimodal clinical data.

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Publication Details

Journal
JAMIA Open
Published
2025-11-03
DOI
https://doi.org/10.1093/jamiaopen/ooaf145
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
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article

The AIR·MS data platform for artificial intelligence in healthcare

Bernhard Y. Renard, Patricia Kovatch, Stefan Kalabakov, Susanne Ibing et al.
1 citations
JAMIA Open
Artificial Intelligence in Healthcare and Education
0.65
article

The AIR·MS data platform for artificial intelligence in healthcare

Bernhard Y. Renard, Patricia Kovatch, Stefan Kalabakov, Susanne Ibing, Aadil Rasheed, Ryan C. Ungaro, Eugenia Alleva, Girish N. Nadkarni, Esther-Maria Antão, Bert Arnrich, Taryn Quinn, Morten Ernebjerg, Christoph Lippert, Lothar Heinz Wieler, Alexander W. Charney, Linea Schmidt, Pablo Guerrero, David Weese, Elmien Heyneke, Thomas Holst, Herve DiBello
article en
1 citations

Abstract

AIR·MS provides a scalable, secure, and collaborative platform for AI-enabled healthcare research on multimodal clinical data.

JAMIA OpenVol. 8(6)
Mount Sinai Health System (US), Hasso Plattner Institute (DE), Research Institute for Sustainability at GFZ (DE), Child Health and Development Institute (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 20%
Artificial Intelligence in Healthcare and Education
0.65
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The AIR·MS data platform for artificial intelligence in healthcare — Bernhard Y. Renard, Patricia Kovatch, et al. · JAMIA Open (2025) | TGRS Research Map | TGRS