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Francesco Fontanella

University of Cassino and Southern Lazio - Department of Civil and Mechanical Engineering

SCHOLARLY PAPERS

2

DOWNLOADS

165

TOTAL CITATIONS

2

Scholarly Papers (2)

1.

Enriched Resting-State EEG Biomarkers Predict Cognitive Decline at 1-Year Follow-Up in Old Patients with Prodromal Alzheimer’S Disease: A Combined Machine-Learning Approach

Number of pages: 40 Posted: 29 Jan 2024
Sapienza University of Rome - Department of Physiology and Pharmacology, Sapienza University of Rome - Department of Physiology and Pharmacology, IRCCS Synlab SDN, Sapienza University of Rome - Department of Physiology and Pharmacology, Sapienza University of Rome - Department of Physiology and Pharmacology, Sapienza University of Rome - Department of Physiology and Pharmacology, Oasi Research Institute - IRCCS, Oasi Research Institute - IRCCS, Oasi Research Institute - IRCCS, IRCCS Synlab SDN, IRCCS Synlab SDN, Università degli Studi di Genova, Università degli Studi di Genova, IRCCS Ospedale Policlinico San Martino, IRCCS Ospedale Policlinico San Martino, Sapienza University of Rome - Department of Neuroscience, Mental Health and Sensory Organs, Sapienza University of Rome, IRCCS San Raffaele Pisana, IRCCS San Raffaele Pisana, IRCCS Centro San Giovanni di Dio Fatebenefratelli, Sapienza University of Rome, Sapienza University of Rome, Università Vita-Salute San Raffaele - IRCCS Ospedale San Raffaele, Istanbul Medipol University, Istanbul Medipol University, Istanbul Medipol University, Istanbul Medipol University, Izmir University of Economics, Izmir University of Economics, University of Geneva - Geneva University Hospitals, Hospital San Raffaele Cassino, University of Cassino and Southern Lazio - Department of Civil and Mechanical Engineering, Kore University of Enna, University of Cassino and Southern Lazio, University of Cassino and Southern Lazio - Department of Civil and Mechanical Engineering and University of Cassino and Southern Lazio - Department of Civil and Mechanical Engineering
Downloads 108 (649,907)
Citation 2

Abstract:

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Alzheimer's Disease (AD), Mild Cognitive Impairment (MCI), biomarkers, Resting-state electroencephalographic (rsEEG) rhythms, Cerebrospinal fluid (CSF), Delta, Theta, and Alpha Rhythms, Structural Magnetic Resonance Imaging (sMRI), Prediction, Artificial Intelligence (AI), Machine Learning (ML).

2.

The Role of Artificial Intelligence in Diagnosis and Monitoring of Specific Learning Disorders: A Systematic Review

Number of pages: 74 Posted: 18 Feb 2026
University of Cassino and Southern Lazio - Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio - Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio - Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio and affiliation not provided to SSRN
Downloads 57 (1,020,567)

Abstract:

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Specific Learning Disorders, Dysgraphia, dyslexia, Dyscalculia, Artificial Intelligence