Artificial intelligence (AI) tools are being developed to identify osteoporosis cases by mining medical records. Christopher White, PhD, highlighted the potential liabilities of such tools during a presentation at the Endocrine Society's AI in Healthcare Virtual Summit. His team at Prince of Wales Hospital faced challenges in recruiting patients for osteoporosis trials due to incomplete data capture.
The development of AI tools like XRAIT and Advanced Encryption Standard (AES) coding aims to improve patient identification for osteoporosis treatment. However, the overwhelming number of identified patients has created a treatment gap, as healthcare systems struggle to manage the influx. The need for careful integration of AI into healthcare practices is emphasized to avoid creating a medico-legal minefield.
• AI tools can identify osteoporosis but may create legal liabilities.
• Overwhelming patient identification challenges existing healthcare systems.
AI is utilized to mine medical records for identifying osteoporosis cases.
NLP technology was used to analyze medical records for fracture risk identification.
AES coding was employed to enhance patient identification for osteoporotic fractures.
This research translation center focuses on health education and research in Australia.
The hospital's fracture liaison team developed AI tools to address osteoporosis treatment gaps.
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