Ignite Creation Date:
2024-10-26 @ 3:43 PM
Last Modification Date:
2024-10-26 @ 3:43 PM
Study NCT ID:
NCT06644391
Status:
COMPLETED
Last Update Posted:
None
First Post:
2024-10-14
Brief Title:
Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Enhancing Diagnostic Accuracy in Fracture Identification on Musculoskeletal Radiographs Using Deep Learning
Status:
COMPLETED
Status Verified Date:
2024-10
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
This retrospective study aims to evaluate the effectiveness of artificial intelligence AI in identifying fractures on musculoskeletal X-rays By comparing the performance of a deep learning AI model with that of experienced radiologists we seek to understand how AI can help improve fracture detection accuracy in clinical settings The study analyzed 600 X-rays from both pediatric and adult patients focusing on identifying fractures across different body parts including the foot ankle knee hand wrist and more The findings show that integrating AI can increase radiologists sensitivity in detecting fractures potentially improving patient outcomes by reducing the number of missed injuries
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None