AI in Health

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...

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.