The Importance of Explainable Artificial Intelligence Based Medical Diagnosis
Saved in:
| Main Authors: | Aigerim Mashekova, Vasilios Zarikas, Yong Zhao, Eddie Yin Kwee Ng |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IMR Press
2024-12-01
|
| Series: | Clinical and Experimental Obstetrics & Gynecology |
| Online Access: | https://www.imrpress.com/journal/CEOG/51/12/10.31083/j.ceog5112268 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Fully Interpretable Deep Learning Model Using IR Thermal Images for Possible Breast Cancer Cases
by: Yerken Mirasbekov, et al.
Published: (2024-10-01) -
Explainable artificial intelligence for predicting medical students’ performance in comprehensive assessments
by: Haniye Mastour, et al.
Published: (2025-07-01) -
The SAGE Framework for Explaining Context in Explainable Artificial Intelligence
by: Eleanor Mill, et al.
Published: (2024-12-01) -
A Multicoefficient Slip-Corrected Reynolds Equation for Micro-Thin Film Gas Lubrication
by: Ng Eddie Yin-Kwee, et al.
Published: (2005-01-01) -
Explainable Artificial Intelligence: Advancements and Limitations
by: Halil Ibrahim Aysel, et al.
Published: (2025-06-01)