Lakera Co-publishes Article in a Nature Journal on Testing Medical Imaging Systems

Lakera has co-published an article in a Nature journal focusing on testing methodologies for AI in medical imaging systems, emphasizing the importance of reliability and regulatory approval before such technologies are used in hospitals. The paper provides recommendations on collecting test datasets in pathology and medical imaging, addressing key questions about the number and type of images needed, managing low-prevalence subsets, detecting bias, and understanding regulatory requirements across countries. Lakera's MLTest product aims to integrate reliability into engineering processes for medical imaging companies, expediting regulatory approval and ensuring safe innovation in the medical domain. The company also highlights its contributions to Dropbox's GenAI journey and offers security solutions for GenAI applications.