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Updated: May 22, 2026

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Response to the Letter Regarding "Explainable machine learning on clinical features to predict and differentiate

, Daniele Caligiore1

  • 1Computational and Translational Neuroscience Laboratory, Institute of Cognitive Sciences and Technologies, National Research Council (CTNLab-ISTC-CNR), Via Gian Domenico Romagnosi 18A, Rome 00196, Italy; AI2Life s.r.l., Innovative Start-Up, ISTC-CNR Spin-Off, Via Sebino 32, Rome 00199, Italy; Department of Human Sciences, Communication, Education and Psychology, Libera Università Maria Ss. Assunta (LUMSA), Via della Traspontina 21, Rome 00193, Italy.

Journal of the Neurological Sciences
|May 20, 2026
PubMed
Abstract

No abstract available in PubMed .

Keywords:
Alzheimer's diseaseClinical decision supportExplainable artificial intelligence (XAI)Machine learningMild cognitive impairment (MCI)Prognostic modellingSex differences

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