Artificial intelligence, machine learning and deep learning in neuroradiology: Current applications


Author(s): Danilo Caudo*, Alessandro Santalco, Simona Cammaroto, Carmelo Anfuso, Alessia Biondo, Rosaria Torre, Caterina Benedetto, Annalisa Militi, Chiara Smorto, Fabio Italiano, Ugo Barbaro and Rosa Morabito

Artificial intelligence is rapidly expanding in all medical fields and especially in neuroimaging/neuroradiology (more than 5000 articles indexed on PubMed in 2021) however, few reviews summarize its clinical application in diagnosis and clinical management in patients with neurological diseases. Globally, neurological and mental disorders impact 1 in 3 people over their lifetime, so this technology could have a strong clinical impact on daily medical work. This review summarizes and describes the technical background of artificial intelligence and the main tools dedicated to neuroimaging and neuroradiology explaining its utility to improve neurological disease diagnosis and clinical management.

Share this article

Awards Nomination

Editors List

  • Prof. Elhadi Miskeen

    Obstetrics and Gynaecology Faculty of Medicine, University of Bisha, Saudi Arabia

  • Ahmed Hussien Alshewered

    University of Basrah College of Medicine, Iraq

  • Sudhakar Tummala

    Department of Electronics and Communication Engineering SRM University – AP, Andhra Pradesh




  • Alphonse Laya

    Supervisor of Biochemistry Lab and PhD. students of Faculty of Science, Department of Chemistry and Department of Chemis


  • Fava Maria Giovanna


Google Scholar citation report
Citations : 208

Onkologia i Radioterapia received 208 citations as per Google Scholar report

Onkologia i Radioterapia peer review process verified at publons
Indexed In
  • Directory of Open Access Journals
  • Scimago
  • MIAR
  • Euro Pub
  • Google Scholar
  • Medical Project Poland
  • Cancer Index
  • Gdansk University of Technology, Ministry Points 20