Medizinische Universität Graz - Research portal
Selected Publication:
Hakeem Boules, K.
The role of artificial intelligence in detecting pediatric elbow fractures
Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2024. pp. 59
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- Authors Med Uni Graz:
- Advisor:
- Janisch Michael August Johann
- Tschauner Sebastian
- Altmetrics:
- Abstract:
- Pediatric elbow fractures constitute a significant portion of trauma cases seen in pediatric emergency departments. These fractures are notoriously difficult to diagnose accurately due to the complex anatomy of the pediatric elbow and the evolving nature of bone development in children. Misdiagnosis or delayed diagnosis of such fractures can lead to devastating complications, including long-term functional impairment or permanent disability in the affected child. Currently, the standard diagnostic tool for these injuries remains radiography, which, while widely used, suffers from inherent limitations in sensitivity. Human factors, such as diagnostic inexperience in junior clinicians or fatigue affecting even seasoned professionals, can further complicate accurate assessment. Artificial intelligence (AI) has already demonstrated the potential to assist in medical imaging by accurately identifying and localizing pathologies in various radiological studies. With this research, we aim to advance the field by developing AI algorithms capable of detecting pediatric elbow fractures, contributing to improved diagnostic accuracy and patient outcomes.