With the explosive growth of artificial intelligence (AI), medical imaging offers extraordinary potential for precision medicine. However, a lack of standardization and reliance on qualitative (subjective) measurements create highly variable data that can compromise the viability of AI — and may ultimately jeopardize patient safety.
Quantitative (objective) medical imaging will help AI reach its full potential. By developing metrology and standards to ensure accurate and precise (repeatable and reproducible) QI measurements, we can reduce variability across sites, devices, patients, and time. This lays the foundation for clinically relevant data — leading to the safe, viable development and use of AI technology.
Currently, QMIC is addressing the most urgent needs of the quantitative imaging community by writing and revising streamlined Quantitative Imaging Biomarker (QIB) Guidelines that will be readily adaptable for use in clinical trial and clinical practice for magnetic resonance imaging (MRI), computed tomography (CT) imaging, nuclear/molecular (NM) imaging, and ultrasound (US) imaging.
