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AI-supported Clinical Imaging Decision Support System

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In November 2025, a team of students, researchers, and faculty at  UMSN  and SOCR  developed, tested, and deployed a new sophisticated Clinical Imaging Decision Support System composed of two parts: A generation-3 Augmented Intelligent Agent (AIA-gen-3) , which supports RAG AI-responses via custom-training and tuning pre-trained GAIMs and LLMs , and A generation-4 CLNQ , which facilitates highly accurate AI autonomous responses contextualized according to specific transfer-learning knowledge-bases.  Driven by prompts from patients, clinicians, trainees, and other stakeholders, both AI systems are tested in describing, diagnosing, predicting treatment outcomes of simple ophthalmological images. These AI Clinical Decision Support Systems ( AIA-gen-3  and  CLNQ-gen-4 ) can be invoked in any modern browser. The AIA-3 sessions are virtual, confined to the browser tab, and no information is exposed to external AI API services. The CLNQ-4 also optionally ...
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Release of a powerful SOCR AI Consultant - an Autonomous AI Consulting Agent

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The rapidly expanding  UM SOCR Consulting  infrastructure now provides 24/7/365 consulting support for a wide range of bio-STEM research, data-STEM analytics, biomedical studies, humanities, social sciences, biostatistics, mathematical modeling, and AI forecasting support throughout the University of Michigan. SOCR already supports 2 of the Michigan Research Cores . In its expanded role on campus, SOCR will also provide access to a powerful new AI Consultant , a generative AI Model (GAIM) assistant providing scalable and  continuous consulting services . Students, researchers, clinical scholars, faculty, partners, and other stakeholders can freely utilize these  UM SOCR Consulting services .  
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AI and Art: The Three Phases of GAIM Art Generation (Apprentice, Creator & Imaginator)

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UMSN AI in Health Initiative and SOCR developed a compelling visual demonstration of the rapidly increasing abilities of contemporary Generative AI Models (GAIM)/Augmented Intelligence Models (AIA) with progressively multi-generational improvements. Starting with the apprenticeship mode where the Gen-1 AIA systems can replicate work in a specific artistic style and going to novel art generation in Gen-2 AIA systems . The final Gen-3 AIA foundational models represent a quantum leap forward, transcending the boundaries between quantitative science, qualitative studies, and future art forms. The Gen-3 AIA example below showcases the ability of contemporary AIA models to autonomously create a new art form by imaging future scientific discoveries to formulate a new prospective and ubiquitous futuristic form of human visual art in the year 2150. The art rendition of chrono-sculpting via temporal kinetic augmentation represents a speculative view of intelligence grounded in rigorous s...
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SDA App Support for Analyzing Mixed-Type Survey Data

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The UMSN AI in Health Initiative  updated the Statistical Data Analyzer (SDA)  to support comprehensive data analysis and visualization of mixed-type survey datasets . In addition, the app now includes a detailed documentation for all of the statistical inference, machine learning, and artificial intelligence techniques already implemented in SDA . Multi-Format Data Support : CSV, Excel, JSON, XML, FHIR, and more data formats supported A Wide Range of Statistical Analyses : Comprehensive descriptive statistics, correlation analysis, and hypothesis testing Interactive Visualizations : Dynamic charts, plots, and graphs with real-time data binding Report Generation : Professional reports with methodology, results, and conclusions Lightweight Browser-Based : No installation required - runs entirely in your web browser Data Privacy : All processing happens locally - your data never leaves your browser.  
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Academic productivity in the era of AI

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UMSN AI in Health Initiative Perspective (August 2025) The Academy at the Inflection Point: Higher Education's Transformation in the Era of Artificial General Intelligence The impending arrival of artificial general intelligence (AGI) represents not merely an incremental advancement but a fundamental discontinuity in the trajectory of higher education. If Silicon Valley's projections materialize, with AGI emerging by 2027-2030 and potentially driving 20-30% annual economic growth [1] , the academy faces its most profound transformation since the medieval university evolved into academic mission. Part I: Redefining the Academic Mission in the AGI Era The Traditional Trinity Under Pressure The conventional academic mission on teaching, research, and service organically emerged from an era of information scarcity and slow knowledge diffusion. AGI's arrival obliterates these constraints, demanding a re-conceptualization: Teaching transforms from information transfer ...
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Generation-3 Augmented Intelligence Agent (AIA3)

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  On August 8, 2025, SOCR , UMSN AI in Health Initiative , and GrayRain released an improved, generation-3,  Augmented Intelligence Agent (AIA3) . The generalized  AIA3 platform  extends the earlier AIA Gen-2 App  to provide higher flexibility in using publicly accessible pretrained AI models (Hugging Face) supporting augmented intelligence configuration, training, and inference across multiple scientific domains. The two core AIA operations include training an AI model (using task-specific ontologies, human knowledge bases, and datsasets) and testing the generative AI model (GAIM) for inference, prediction, agentic AI responses, and forecasting tasks.  
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UMSN AI in Health: Interactive Learning Summit

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  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...
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