I-ELCAP AIRS
An Open Source automated image reading system (AIRS) developed by the I-ELCAP team that determines that no clinical change in nodules has occurred. AIRS would act as a "rule out' read for nodules on annual repeat and follow-up CT scans, cutting out roughly 85% of a radiologists reading time for annual or repeat low-dose CT scans (LDCT).
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More information about the IELCAP-AIRS project is coming soon.
Leadership Team
Claudia Henschke,
PhD, MD
Director of Lung Screening at Mount Sinai
PI of I-ELCAP
PI of AIRS
David Yankelevitz,
MD
Director of Biopsy Service at Mount Sinai
Co-PI of I-ELCAP
Co-PI of AIRS
Kyle Myers,
PhD
Puente Solutions LLC
Former FDA Director of Division of Imaging, Diagnostics, and Software Reliability
Consultant to AIRS
Ricardo Avila,
MS
Founder/CEO of Paraxial and Accumetra
Former Head of CAD/AI for GE and Kitware
Co-founder of VTK and ITK Imaging Toolkits
AI Development Subcontract to AIRS
Artit Jirapatnakul,
PhD
Associate Professor at Mount Sinai
I-ELCAP AI Computer Engineer
Lead Engineer to AIRS
Rowena Yip,
MPH
Senior Biostatistician at Mount Sinai
I-ELCAP Lead Statistician
Lead Statistician to AIRS