Artificial Intelligence Bias in Health Care: Web-Based Survey
BackgroundResources are increasingly spent on artificial intelligence (AI) solutions for medical applications aiming to improve diagnosis, treatment, and prevention of diseases. While the need for transparency and reduction of bias in data and algorithm development has been addressed in past studies...
Saved in:
Main Authors: | Carina Nina Vorisek (Author), Caroline Stellmach (Author), Paula Josephine Mayer (Author), Sophie Anne Ines Klopfenstein (Author), Dominik Martin Bures (Author), Anke Diehl (Author), Maike Henningsen (Author), Kerstin Ritter (Author), Sylvia Thun (Author) |
---|---|
Format: | Book |
Published: |
JMIR Publications,
2023-06-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Artificial intelligence: Explainability, ethical issues and bias
by: Alaa Marshan
Published: (2021) -
Human-Centered Design to Address Biases in Artificial Intelligence
by: You Chen, et al.
Published: (2023) -
Raising awareness of sex and gender bias in artificial intelligence and health
by: Nataly Buslón, et al.
Published: (2023) -
AAAI Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD)
Published: (2022) -
Ethics of artificial intelligence in global health: Explainability, algorithmic bias and trust
by: Angeliki Kerasidou
Published: (2021)