"AI Uncovers Key Diagnostic Insights Hidden in Electronic Health Records"

Researchers at the Icahn School of Medicine at Mount Sinai have developed an Artificial intelligence system called InfEHR, enhancing the interpretation of Electronic health record data for better patient diagnostics.

• The Artificial intelligence system InfEHR links unconnected medical events across time, aiding doctors in diagnosing complex conditions like sepsis in infant patients.
• Developed by the Icahn School of Medicine at Mount Sinai and collaborators from the University of California, Irvine, InfEHR analyzes extensive Electronic health record data for rapid clinical decision-making.
• InfEHRs ability to synthesize data from Electronic health records is crucial for improving medication management and diagnostic accuracy in patients presenting with rare diseases or unusual symptoms.