Application of artificial intelligence in brain molecular imaging

2022 ◽  
Author(s):  
Satoshi Minoshima ◽  
Donna Cross
Keyword(s):  
Artificial Intelligence ◽  
Molecular Imaging

Artificial Intelligence for Brain Molecular Imaging

PET Clinics ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. 57-64
Author(s):  
Donna J. Cross ◽  
Seisaku Komori ◽  
Satoshi Minoshima
Keyword(s):  
Artificial Intelligence ◽  
Molecular Imaging

scholarly journals Artificial intelligence in molecular imaging

2021 ◽  
Vol 9 (9) ◽  
pp. 824-824
Author(s):  
Edward H. Herskovits
Keyword(s):  
Artificial Intelligence ◽  
Molecular Imaging

Artificial Neural Networks in Cardiovascular Diseases and its Potential for Clinical Application in Molecular Imaging

2020 ◽  
Vol 13 ◽  
Author(s):  
Riccardo Laudicella ◽  
Albert Comelli ◽  
Alessandro Stefano ◽  
Monika Szostek ◽  
Ludovica Crocè ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cardiovascular Diseases ◽  
Molecular Imaging ◽  
Nuclear Cardiology ◽  
Patient Care ◽  
Clinical Medicine ◽  
Imaging Techniques ◽  
Technical Aspect ◽  
Prognostic Models ◽  
Nuclear Medicine Imaging

Background:: In medical imaging, Artificial Intelligence is described as the ability of a system to properly interpret and learn from external data, acquiring knowledge to achieve specific goals and tasks through flexible adaptation. The number of possible applications of Artificial Intelligence is huge also in clinical medicine and in cardiovascular diseases. Objective: To describe for the first time in literature, the main results of articles about Artificial Intelligence potential for clinical applications in molecular imaging techniques, and to describe its advancements in cardiovascular diseases assessed with nuclear medicine imaging modalities. Methods: A comprehensive search strategy was used based on SCOPUS and PubMed databases. From all studies published in English, we selected the most relevant articles that evaluated the technological insights of AI in nuclear cardiology applications. Results: Artificial Intelligence may improve the patient care on many different fields, from the semi-automatization of the medical work, through the technical aspect of image preparation, interpretation, the calculation of additional factors based on data obtained during scanning, to the prognostic prediction and risk-group selection. Conclusion: Myocardial implementation of Artificial Intelligence algorithms in nuclear cardiology can improve and facilitate the diagnostic and predictive process, and global patient care. Building large databases containing clinical and image data is a first but essential step to create and train automated diagnostic/prognostic models able to help the clinicians to make unbiased and faster decisions for precision healthcare.

Artificial intelligence and radiomics in pediatric molecular imaging

Methods ◽  
2020 ◽  
Author(s):  
Matthias W. Wagner ◽  
Alexander Bilbily ◽  
Mohsen Beheshti ◽  
Amer Shammas ◽  
Reza Vali
Keyword(s):  
Artificial Intelligence ◽  
Molecular Imaging

Role of Artificial Intelligence Techniques (Automatic Classifiers) in Molecular Imaging Modalities in Neurodegenerative Diseases

2017 ◽  
Vol 14 (2) ◽  
pp. 198-207 ◽  
Author(s):  
Silvia Cascianelli ◽  
Michele Scialpi ◽  
Serena Amici ◽  
Nevio Forini ◽  
Matteo Minestrini ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Molecular Imaging ◽  
Neurodegenerative Diseases ◽  
Imaging Modalities ◽  
Artificial Intelligence Techniques
Sign in / Sign up

Export Citation Format

Share Document