Paolo Massimo Buscema

Full Professor Adjoint

University of Denver

United States

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About

Paolo Massimo Buscema is a Full Professor Adjoint at the University of Colorado Denver, United States. His research focuses on artificial intelligence applications in medical diagnostics, pattern recognition, and complex systems analysis. Recent articles explore topics such as using artificial neural networks for diagnosing idiopathic normal pressure hydrocephalus and Alzheimer dementia, as well as utilizing machine learning for medical imaging and analysis of public health crises.

Articles (11)

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2025

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2023

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2023

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2022

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2021

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2020

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2020

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2020

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2020

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2020

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2020

Collaborators (7)

Maria Catena Quattropani

University of Catania

ITALY

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FRANCESCA D'ANGELLA

Associate Professor

IULM University

ITALY

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Carmela Mento

Associate Professor

Università degli Studi di Palermo

ITALY

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Marco Breda

Head of Advanced Analytics & AI - Data & Analytics

ITALY

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Giovanni Raffa

Assistant Professor

University of Messina

ITALY

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Fabio Radicioni

University of Perugia

ITALY

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Guido Ferilli

Associate Professor

IULM University

ITALY

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Paolo Massimo Buscema

Research Interests

Explore related searches

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About

Articles (11)

Using Artificial Neural Network Models (ANNs) to Identify Patients with Idiopathic Normal Pressure Hydrocephalus (INPH) and Alzheimer Dementia (AD): Clinical Psychological Features and Differential Diagnosis

A Pattern Recognition Analysis of Vessel Trajectories

Twisting Theory: A New Artificial Adaptive System for Landslide Prediction

Reconstructing the Emergent Organization of Information Flows in International Stock Markets: A Computational Complex Systems Approach

Artificial intelligence to design collaborative strategy: An application to urban destinations

A Survey on Industry Analysis: From the SCP Model to Artificial Neural Networks,Gli approcci agli studi di settore: Dal modello struttura-comportamento-risultati alle reti neural

A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI

Affective symptoms and postural abnormalities as predictors of headache: An application of artificial neural networks

Analysis of the Ebola Outbreak in 2014 and 2018 in West Africa and Congo by Using Artificial Adaptive Systems

COVID-19 in Italy and extreme data mining

Comparison of four learning-based methods for predicting groundwater redox status

Collaborators (7)

Maria Catena Quattropani

FRANCESCA D'ANGELLA

Carmela Mento

Marco Breda

Giovanni Raffa

Fabio Radicioni

Guido Ferilli

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