AI in Health

  This post is created on behalf of Dean Hurn   Dear Faculty and Staff: I am pleased to invite you to participate in our upcoming AI for Health: An Interactive Learning Summit , an exciting opportunity to explore the transformative impact of artificial intelligence on nursing education, practice, and research. Presented by UMSN’s AI Health Forum , the summit will be held in person and virtually: AI for Health: An Interactive Learning Summit Tuesday, August 19 – 10 a.m. - Noon Nursing 2, Room 2250 Meeting Link: https://umich.zoom.us/j/98335095125 (passcode 986794) The annual UMSN picnic will take place immediately after the summit.   Time Topic Presenter 10 a.m. Welcome and Summit Overview Cynthia Arslanian-Engoren 10:05 a.m. AACN/NAP AI use in Communications, Marketing & Branding Angela Cao 10:20 a.m. AI Partnerships to Enhance Nursing E...

  Below are some frequently asked questions about proper use (and potential misuse) of AI   systems, and the management of AI-generated results. What AI tools do UMSN faculty have access to?  All UMSN faculty have free and complete access to over 15 AI-enhanced tools  as listed on the AI in Health website .  What AI utility should I consider using for scenarios X, Y, Z and when is the 'extra monthly fee'  worth the price?  UMSN faculty are generally discouraged from paying out-of-pocket for external AI-services. If there are gaps in functionality or specific needs, please identify these  details and bring them to an AI in Health forum meeting for advice and recommendations. Also, please explore the                             Resources in NAIT AI Safety & Risk Mitigation in Healthcare Training Module . Are there tools out there that can help me determin...

UMSN , SOCR and GrayRain released a new app: DSLO - Data Simulator and Statistical Obfuscator . The privacy-enhancing technology of the DataSifter Longitudinal Obfuscator (DSLO) balances data-value (utility) and privacy protection (sensitivity). It is designed specifically for desensitization of real EHR/human data and synthetic generation of digital-twin data including time-series, cross-sectional, phenotypic, categorical, and other types.