Potential source of bias in AI models: lactate measurement in the ICU in sepsis patients as a template
ObjectiveHealth inequities may be driven by demographics such as sex, language proficiency, and race-ethnicity. These disparities may manifest through likelihood of testing, which in turn can bias artificial intelligence models. We aimed to evaluate variation in serum lactate measurements in the int...
Saved in:
| Main Authors: | Pratiksha Pradhan, Fredrik Willumsen Haug, Nebal S. Abu Hussein, Dana Moukheiber, Lama Moukheiber, Mira Moukheiber, Sulaiman Moukheiber, Luca Leon Weishaupt, Jacob G. Ellen, Helen D'Couto, Ishan C. Williams, Leo Anthony Celi, Joao Matos, Tristan Struja |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
|
| Series: | Frontiers in Medicine |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1606254/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Large open access database of echocardiogram reports in intensive care unit patients
by: Gloria Hyunjung Kwak, et al.
Published: (2025-07-01) -
Regulating medical AI before midnight strikes: Addressing bias, data fidelity, and implementation challenges.
by: Cameron J Sabet, et al.
Published: (2025-08-01) -
Machine learning in dentistry: a scoping review
by: Shrey Lakhotia, et al.
Published: (2025-07-01) -
Adipose tissue-derived stem cell autologous grafts: a new approach to application in the treatment of burn victims and reconstructive plastic surgery
by: Charlene Silvestrin Celi Garcia, et al.
Published: (2016-09-01) -
Conflits et identité en Valgrisenche
by: Alessandro Celi
Published: (2016-04-01)