Events

Thank you for coming! The recording for this meeting is available below: - Topic Towards solving breast cancer diagnosis with deep learning Although deep learning has made stunning progress in the last few years, both in terms of engineering and theory, its real-life applications in medicine remain rather limited. One of the fields that has… Read More »Krzysztof Geras – Towards solving breast cancer diagnosis with deep learning (AI PHI Affinity Group)

Topic Real-time decision support by light-weighted AI models trained with large-scale data for breast cancer diagnosis using ultrasound Breast cancer is the most common cancer for women worldwide. Early diagnosis of breast cancer generally increases the chance of successful treatment and effectively reduces mortality. Ultrasound diagnosis is used for distinguishing benign tumors from malignant tumors,… Read More »Jaeil Kim – Real-time decision support by light-weighted AI models trained with large-scale data for breast cancer diagnosis using ultrasound (AI PHI Affinity Group)

Thank you for coming! The recording for this meeting is available below: - Topic Morphology Feature Array (MFA) as a Risk Assessment Platform for Breast Cancer Treatment In our presentation we cover the development and practical application of a digital pathology, AI-derived digital laboratory-developed test (LDT) to phenotype, grade, and prognosticate early-stage invasive breast cancer… Read More »PreciseDx – Morphology Feature Array (MFA) as a Risk Assessment Platform for Breast Cancer Treatment (AI PHI Affinity Group)

Thank you for coming! The recording for this meeting is available below: - Topic Disrupting the Indigenous DNA SupplyChain Just as oil was once the most valuable resource on earth, data has now taken its place, including genetic information. But like large tech companies being out of touch with their cobalt supply chain, Indigenous peoples… Read More »Keolu Fox – Disrupting the Indigenous DNA SupplyChain (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)

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: - 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)