Artificial Intelligence in Chest Radiography—A Comparative Review of Human and Veterinary Medicine
The integration of artificial intelligence (AI) into chest radiography (CXR) has greatly impacted both human and veterinary medicine, enhancing diagnostic speed, accuracy, and efficiency. In human medicine, AI has been extensively studied, improving the identification of thoracic abnormalities, diag...
Saved in:
| Main Authors: | Andrea Rubini, Roberto Di Via, Vito Paolo Pastore, Francesca Del Signore, Martina Rosto, Andrea De Bonis, Francesca Odone, Massimo Vignoli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Veterinary Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2306-7381/12/5/404 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Effect of Simulated Dose Reduction on the Performance of Artificial Intelligence in Chest Radiography
by: Hendrik Erenstein, et al.
Published: (2025-03-01) -
An artificial intelligence model for predicting an appropriate mAs with target exposure indicator for chest digital radiography
by: Jia-Ru Lin, et al.
Published: (2025-04-01) -
Evaluation of pediatric diaphragmatic eventration using dynamic chest radiography: A case report
by: Takatoshi Abe, et al.
Published: (2025-01-01) -
Standardisation and Optimisation of Chest and Pelvis X-Ray Imaging Protocols Across Multiple Radiography Systems in a Radiology Department
by: Ahmed Jibril Abdi, et al.
Published: (2025-06-01) -
The performance of computer-aided detection for chest radiography in tuberculosis screening: a population-based retrospective cohort study
by: Henan Xin, et al.
Published: (2025-12-01)