Thank you for coming! The recording for this meeting is available below: - Topic Towards Robust Interpretability Methods for Large Language Models The "black box" nature of deep learning techniques has limited their application in clinical settings. Traditional interpretability methods, such as gradient-based saliency maps or model probing, are subject to “interpretability illusions” where networks… Read More »William Rudman – Towards Robust Interpretability Methods for Large Language Models (AI PHI Affinity Group)

Thank you for coming! The recording for this meeting is available below: - Topic Artificial Intelligence and Computational Imaging: Opportunities for Precision Medicine In this talk, Dr. Tiwari will focus on her lab’s recent efforts in developing machine learning techniques to capture insights into the underlying tumor biology as observed across non-invasive imaging, histopathology, and omics… Read More »Pallavi Tiwari – Artificial Intelligence and Computational Imaging: Opportunities for Precision Medicine (AI PHI Affinity Group)

Thank you for coming! The recording for this meeting is available below: - Comparison of Mammography Artificial Intelligence Algorithms for 5-year Breast Cancer Risk Prediction: An Observational Study Presented by Vignesh A. Arasu, MD, PhD Vignesh A. Arasu, MD, PhD, is a Research Scientist with the Kaiser Permanente Northern California Division of Research. He is… Read More »Vignesh A. Arasu – Comparison of Mammography Artificial Intelligence Algorithms for 5-year Breast Cancer Risk Prediction: An Observational Study (AI PHI Affinity Group)