Cargando…
Erroneous data: The Achilles' heel of AI and personalized medicine
This paper reviews dilemmas and implications of erroneous data for clinical implementation of AI. It is well-known that if erroneous and biased data are used to train AI, there is a risk of systematic error. However, even perfectly trained AI applications can produce faulty outputs if fed with erron...
Autores principales: | Kristiansen, Thomas Birk, Kristensen, Kent, Uffelmann, Jakob, Brandslund, Ivan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9355416/ https://www.ncbi.nlm.nih.gov/pubmed/35937419 http://dx.doi.org/10.3389/fdgth.2022.862095 |
Ejemplares similares
-
Editorial: Wearable and mobile data analysis methodologies for personalized medicine
por: Pires, Ivan Miguel, et al.
Publicado: (2023) -
AI chatbots not yet ready for clinical use
por: Au Yeung, Joshua, et al.
Publicado: (2023) -
Leveraging the potential of synthetic text for AI in mental healthcare
por: Ive, Julia
Publicado: (2022) -
N-of-1 Healthcare: Challenges and Prospects for the Future of Personalized Medicine
por: You, Kui, et al.
Publicado: (2022) -
Editorial: Clinical validation of digital health technologies for personalized medicine
por: Khine, Michelle
Publicado: (2023)