Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma

Clinical validation of AI assisted animal ultrasound models for diagnosis of early liver trauma

Abstract The study aimed to develop an AI-assisted ultrasound model for early liver trauma identification, using data from Bama miniature pigs and patients in Beijing, China. A deep learning model was created and fine-tuned with animal and clinical data, achieving high accuracy metrics. In internal...

Full description

Saved in:
Bibliographic Details
Main Authors: Qing Song, Xuelei He, Yanjie Wang, Hanjing Gao, Li Tan, Jun Ma, Linli Kang, Peng Han, Yukun Luo, Kun Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Liver contusions
Lacerations
Deep learning
Artificial intelligence
Animal models
Predictive value of tests
Online Access:https://doi.org/10.1038/s41598-025-91900-5
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items