Applications of machine learning to diagnosis and treatment of neurodegenerative diseases

By Monika A. Myszczynska, P. Ojamies, Alix Lacoste, Daniel Neil, Amir Saffari, R. Mead, G. Hautbergue, Joanna D. Holbrook, L. Ferraiuolo. Nature Reviews Neurology, 2020

450 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biophysics, Neurology

View Paper: https://www.semanticscholar.org/paper/c0bc4ef587b4cbebd5839baeed95274fbf26c43a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Shuroug A. Alowais
2. S. Alghamdi
3. N. Alsuhebany
4. Abdulrahman I. Alshaya
5. Sumaya N Almohareb
6. H. Badreldin
7. Majed S. Al Yami
8. Mohammed A. Alrashed

Citations in the corpus

• Revolutionizing healthcare: the role of artificial intelligence in clinical practice (2023, background): “ML is an area of AI that uses data as an input resource in which the accuracy is highly dependent on the quantity as well as the quality of the input data that can combat some of the challenges and complexity of diagnosis [9].”