Author:
Palumbo Barbara,Bianconi Francesco,Nuvoli Susanna,Spanu Angela,Fravolini Mario Luca
Abstract
Abstract
Purpose
The aim of this review is to discuss the most significant contributions about the role of Artificial Intelligence (AI) techniques to support the diagnosis of movement disorders through nuclear medicine modalities.
Methods
The work is based on a selection of papers available on PubMed, Scopus and Web of Sciences. Articles not written in English were not considered in this study.
Results
Many papers are available concerning the increasing contribution of machine learning techniques to classify Parkinson’s disease (PD), Parkinsonian syndromes and Essential Tremor (ET) using data derived from brain SPECT with dopamine transporter radiopharmaceuticals. Other papers investigate by AI techniques data obtained by 123I-MIBG myocardial scintigraphy to differentially diagnose PD and other Parkinsonian syndromes.
Conclusion
The recent literature provides strong evidence that AI techniques can play a fundamental role in the diagnosis of movement disorders by means of nuclear medicine modalities, therefore paving the way towards personalized medicine.
Funder
Università degli Studi di Perugia
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging
Cited by
12 articles.
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