The prevalence of thoracic vertebral fractures identified with the support of Artificial Intelligence-assisted diagnostic methods in patients hospitalized due to internal medicine diseases

Key Points

• The study aims to investigate the prevalence of thoracic vertebral fractures among patients hospitalized with internal medicine diseases.
• Analyzed medical records of internal medicine inpatients.
• Used artificial intelligence-assisted diagnostic methods to identify fractures.
• Focused on elderly individuals, as they account for a significant portion of hospitalizations.
• Identified a high prevalence of thoracic vertebral fractures in hospitalized patients.
• Increased awareness of fragility fractures in internal medicine can improve patient outcomes.
• AI-assisted methods showed effectiveness in diagnosing subtle fractures.