Pilot Study of a Web-Based Tool for Real-Time Adequacy Assessment of Kidney Biopsies
Saved in:
| Main Authors: | Meysam Ahangaran, Emily Sun, Khang Le, Jiawei Sun, William M. Wang, Tian Herng Tan, Lingkai Yin, Lyle J. Burdine, Zeijko Dvanajscak, Clarissa A. Cassol, Shree Sharma, Vijaya B. Kolachalama |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-09-01
|
| Series: | Kidney International Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2468024924017959 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Smartphone-based machine learning model for real-time assessment of medical kidney biopsy
by: Odianosen J. Eigbire-Molen, et al.
Published: (2024-12-01) -
Value of original and modified pathological scoring systems for prognostic prediction in paraffin-embedded donor kidney core biopsy
by: Jinghong Tan, et al.
Published: (2024-12-01) -
Diagnostic informativeness of biopsy for chronic kidney disease in cats
by: O. Ya. Ostrovskyi, et al.
Published: (2024-02-01) -
Epidemiology of kidney biopsy from regional referral center in Romania: 10-year review
by: Maslyennikov Yuriy, et al.
Published: (2025-03-01) -
Analysis of survival among biopsy‐determined categories of kidney disease in dogs
by: Devyn M. Schultz, et al.
Published: (2025-03-01)