Notes cliniques
Notes ancrées dans la preuve sur l'exactitude de l'évaluation diététique, la reconnaissance alimentaire par IA, les normes de validation et comment choisir une application de santé. Chaque note cite des sources revues par les pairs par DOI lorsque les affirmations l'exigent.
How Accurate Are Calorie Tracking Apps in 2026? A Clinical Review of the Evidence
Consumer calorie tracker outputs typically carry a ±15–25% MAPE per meal — adequate for general weight management, below clinical-grade dietary assessment. A review of validation evidence and error sources.
How to Choose a Calorie Tracking App: A Decision Framework
A question-driven framework for choosing a consumer calorie tracker — picking by use case (weight management, recomposition, clinical), paradigm (photo-AI vs search), evidence requirement, and budget.
How We Evidence-Grade Consumer Health Apps (A–F)
Clinical App Report assigns an Evidence Grade A–F to every evaluated consumer health application based on the published validation evidence. A explainer of the grading rubric, examples, and why most consumer apps land in Grade C–D.