{"id":12868,"date":"2025-11-24T11:54:34","date_gmt":"2025-11-24T16:54:34","guid":{"rendered":"https:\/\/labs.icahn.mssm.edu\/minervalab\/?page_id=12868"},"modified":"2026-10-20T12:35:55","modified_gmt":"2026-10-20T16:35:55","slug":"air%c2%b7ms-ai-ready-mount-sinai-publications","status":"publish","type":"page","link":"https:\/\/labs.icahn.mssm.edu\/minervalab\/air%c2%b7ms-ai-ready-mount-sinai-publications\/","title":{"rendered":"AIR\u00b7MS (AI Ready Mount Sinai) Publications"},"content":{"rendered":"

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Scientific Computing and Data<\/a>\u00a0\/\u00a0AIR\u00b7<\/strong>MS (AI Ready Mount Sinai)<\/a> \/ Publications<\/p>\n

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\u00a0<\/h1>\n

New Publications and Studies<\/span><\/strong><\/h1>\n
\n

“AIR\u00b7MS platform paper” – accepted and published by JAMIA Open<\/span><\/strong><\/h2>\n

We\u2019re excited to share that our reference architecture paper on AIR\u00b7MS has been accepted for publication by JAMIA Open, the journal of the American Medical Informatics Association.<\/span><\/p>\n

AIR\u00b7MS is a secure, scalable research platform that gives access to structured and unstructured clinical data from over 12 million patients of the Mount Sinai Health System \u2013 including EHRs, radiology, pathology, and ECG. Developed through a partnership between Mount Sinai, the Hasso Plattner Institute, and Data4Life, the platform supports international, cross-institutional research on real-world data.<\/span><\/p>\n

The paper also highlights three real-world applications:<\/span><\/p>\n

– AI-powered phenotyping for Crohn\u2019s disease<\/span>
– New insights into dysmenorrhea and heart disease in women<\/span>
– Federated learning for cardiovascular risk prediction<\/span><\/p>\n

Click here to learn more about the platform, use cases, and the publication.<\/a><\/strong><\/p>\n

\u00a0<\/p>\n

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Recent Publications<\/span><\/strong><\/h2>\n

\u201cChatGPT Health performance in a structured test of triage recommendations\u201d<\/strong><\/span><\/h3>\n

Ashwin Ramaswamy, Alvira Tyagi, Hannah Hugo, Joy Jiang, Pushkala Jayaraman, Mateen Jangda, Alexis E. Te, Steven A. Kaplan, Joshua Lampert, Robert Freeman, Nicholas Gavin, Ashutosh K. Tewari, Ankit Sakhuja, Bilal Naved, Alexander W. Charney, Mahmud Omar, Michael A. Gorin, Eyal Klang, Girish N. Nadkarni.<\/em><\/p>\n

Read more<\/a><\/p>\n

\u00a0<\/p>\n

\u201cDaily Consistency Over Timing: Routine Formation and Population-Specific Opportunities in mHealth User Adherence\u201d<\/strong><\/span><\/h3>\n

Samia Shahnawaz, Rhyann Clarke, Suzanne Bakken, Noemie Elhadad, Kyle Landell, Jovita Rodrigues, Matteo Danieletto, Ipek Ensari.<\/em><\/p>\n

Read more<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

\u00a0<\/p>\n

\u201cPhysioJEPA: Joint Embedding Representations of Physiological Signals for Real Time Risk Estimation in the Intensive Care Unit\u201d<\/strong><\/span><\/h3>\n

Benjamin Fox, Dung Hoang, Joy Jiang, Pushkala Jayaraman, Ankit Parekh, Girish N. Nadkarni, Ankit Sakhuja.<\/em><\/p>\n<\/div>\n

Read more<\/a><\/p>\n

\u00a0<\/p>\n

\u201cLarge language models are poor clinical administrators: An evaluation of structured queries in real-world electronic health records\u201d<\/strong><\/span><\/h3>\n

Eyal Klang, Vera Sorin, Panagiotis Korfiatis, Ashwin S. Sawant, Robert Freeman, Alexander W. Charney, Girish N. Nadkarni, Benjamin S. Glicksberg.<\/em><\/p>\n

Read more<\/a><\/p>\n

\u00a0<\/p>\n

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\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t\t\n\t\t\t<\/div> Scientific Computing and Data\u00a0\/\u00a0AIR\u00b7MS (AI Ready Mount Sinai) \/ Publications \u00a0New Publications and Studies”AIR\u00b7MS platform paper” – accepted and published by JAMIA OpenWe\u2019re excited to share that our reference architecture paper on AIR\u00b7MS has been accepted for publication by JAMIA Open, the journal of the American Medical Informatics Association.AIR\u00b7MS is a secure, scalable research […]<\/p>\n","protected":false},"author":700,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-12868","page","type-page","status-publish","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/12868","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/users\/700"}],"replies":[{"embeddable":true,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/comments?post=12868"}],"version-history":[{"count":4,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/12868\/revisions"}],"predecessor-version":[{"id":15267,"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/pages\/12868\/revisions\/15267"}],"wp:attachment":[{"href":"https:\/\/labs.icahn.mssm.edu\/minervalab\/wp-json\/wp\/v2\/media?parent=12868"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}