A transparent AI system also addresses legal and ethical concerns by enabling medical professionals to take responsibility for diagnoses informed by AI assistance. “If we don’t know how a system is making decisions, it’s challenging to ensure it is fair, unbiased, or aligned with societal values,” said Le. Transparency in AI is particularly crucial in medical settings, as well as in other high-stakes areas such as self-driving technology and finance.
Le and her research team, in collaboration with the MD Anderson Cancer Center in Houston, are currently working on refining ItpCtrl-AI to analyze more complex, three-dimensional CT scans.
MEDICA-tradefair.com; Source: University of Arkansas