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Valentina Ștefănică

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Open access Sep 2026

When the Algorithm Becomes the Dietitian: Large Language Model Hallucinations, Algorithmic Food Environments, and the Erosion of Nutritional Autonomy

Large language models (LLMs) can answer dietary questions, but their use as substitutes for registered dietitians remains insufficiently quantified. Evaluations have identified inaccurate nutrient targets, incomplete clinical advice, and insufficient personalization, alongside useful performance on some general nutriti...

Ismail Dergaa, R. Ben Othman, H. Ghouili et al. · 0 citations
Open access Sep 2026

School-based predictive contributors to six-minute walk test performance across pubertal stages: an explainable machine learning study in Tunisian adolescents

Background The six-minute walk test (6MWT) provides a practical measure of submaximal functional exercise capacity in adolescents and reflects the integrated response of cardiovascular, respiratory, and musculoskeletal systems during walking. Traditional age-based linear models inadequately capture nonlinear, maturatio...

H. Ghouili, Amel Dridi, N. Ouerghi et al. · 0 citations
Review Open access Jul 2026

Generative artificial intelligence and large language models in sports medicine: a scoping review of applications, accuracy, and ethical implications

GenAI shows promise as a supervised decision-support tool in sports medicine, but current evidence does not support unsupervised clinical use and key challenges include hallucination risks, a lack of sport-specific validation datasets, and insufficient ethical and governance frameworks.

Ismail Dergaa, Mohamed Amine Dergaa, Mortadha Razzak et al. · 3 citations

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