Author

Marco Roccetti

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#data science Open access Nov 2026

Why do we Never Ask if a Bridge Load Test is Statistically Significant? A New Engineering-Inspired Framework of Perturbed Uncertainty Limits for Big Health Data

Civil engineering does not evaluate a suspension bridge by demanding a p-value; structural safety is measured through load margins, environmental stress tests, and breaking-point analyses. In stark contrast, modern health data science treats colossal administrative cohorts (N = several millions) as self-evident proof o...

Marco Roccetti · International Journal of Sta... · 0 citations

#artificial intelligence Open access Sep 2026

An AI for diseases or a sick AI? The epistemological pathology of big data overload and the loss of statistical significance

Modern clinical epidemiology and artificial intelligence are increasingly driven by an idealized premise: the belief that massive databases and advanced machine learning can redeem causal inference from observational uncertainty. Behind the facade of multi-million-record cohorts, however, a profound epistemological cri...

Marco Roccetti · Frontiers in Artificial Inte... · 0 citations

#artificial intelligence Open access Sep 2026

Human-Centric Clinical AI: A Structural Data Validation Approach for Human-Reliable Medical Inference

Paper Accepetd for publication in: Transactions on Artificial Intelligence ISSN: 2982-3439 (Scilight Press) Abstract Researchers increasingly rely on Clinical Artificial Intelligence (CAI) to derive predictive insights from massive observational datasets. However, the paradigm of Big Medical Inference often conflates s...

Marco Roccetti · Zenodo (CERN European Organi... · 0 citations