Seminar Series: Implementation and Evaluation of AI in Real-World Clinical Settings

The deployment of Artificial Intelligence (AI) technology currently outpaces its rigorous test and evaluation. In bio-medical applications, AI-model image-based measurements can provide new quantitative measurements and predictions for diagnostic and treatment purposes, for instance, when assessing the quality of tissue engineering implants or using AI-enabled medical devices for automated diagnosis. In this seminar, Peter Bajcsy, PhD, Project Lead at the National Institute of Standards and Technologies (NIST), will examine efforts to utilize AI-based biomedical image analyses for predicting the functions of retinal pigment epithelial (RPE) implants from absorbance images. Following that, there will be discussion on the challenges of relying on AI-based analyses and approaches to mitigate the risks.

For registration link, please reach out to Stephanie Chuc at [email protected].