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Posts by Division of Clinical Informatics at BIDMC

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Toward a responsible future: recommendations for AI-enabled clinical decision support The DCI Network brings together top thought leaders and decision-makers from the private sector, government, non-profits, and academia to create digital health consortia to accelerate innovation and g...

Register for the webinar Toward a responsible future: recommendations for AI-enabled clinical decision support Fri, 12/06/2024 - 12:00-13:00 Online at DCI Network www.dcinetwork.org/events/206

1 year ago 0 0 0 0

DCI Network paper "Toward a responsible future: recommendations for AI-enabled clinical decision support" academic.oup.com/jamia/articl... in the Journal of the American Medical Informatics Association, 2024 to ensure #AIinCDS #AIHealthcare are safe for patients.

1 year ago 0 0 0 0
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Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health AI is big and moving fast into healthcare, creating opportunities and risks. However, current approaches to governance focus on high-level principles …

DCI Network Paper in #IJMI
Towards a Multi-Stakeholder process for developing responsible AI governance in consumer health www.sciencedirect.com/science/arti... aim 1. establish an approach tailored for consumer health AI governance; 2. identify key constraints and desirable model characteristics.

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A Medical Informatics Feed List on Blue Sky bsky.app/profile/yuri...

1 year ago 0 0 0 0
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Informatics People and Groups Join the conversation

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Informatics People and Group Starter Pack for Blue Sky
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Toward a responsible future: recommendations for AI-enabled clinical decision support The DCI Network brings together top thought leaders and decision-makers from the private sector, government, non-profits, and academia to create digital health consortia to accelerate innovation and g...

Join Webinar: Toward a responsible future: recommendations for AI-enabled clinical decision support on Fri, 12/06/2024 - 12:00 - 13:00 EST www.dcinetwork.org/events/206
Creating methods, rules, and guidelines to ensure AI's development, testing, supervision, and use in clinical decision support.

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