SEMINAR ARCHIVE
IMDS Seminar series archive lets you view past seminar topics and recordings. Not all seminars are available as recordings, sign up for our newsletter to be informed about our seminar schedule.
Date |
Title |
Recording |
February 18th, 2025 |
Tim Althoff, Language models as temporary training wheels to improve mental health |
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January 21st, 2025 |
Ari Pollack, Discovery-Driven Decision-Making in Healthcare |
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December 3rd, 2024 |
Léonard Boussioux, Emerging Frontiers in AI-Enabled Healthcare: Integrating Multimodal Data, Contextual Processing, and Human-AI Collaboration |
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November 19th, 2024 |
Susan Shortreed, Developing clinical risk prediction models to better target suicide prevention care |
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June 18th, 2024 |
Nicholas Tatonetti, Protect the Women & Children: Machine Learning Methods to Predict Adverse Drug Events (ADEs) for Understudied Populations |
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April 16th, 2024 |
Philip Chung, Using language models to predict surgical risk using pre-operative clinical notes |
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February 6th, 2024 |
Patrick Boyle, Integrating Computational Physiology and Explainable Artificial Intelligence to Improve Health Outcomes |
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January 23rd, 2024 |
Rohit Bhargava, AI-enabled chemical imaging for digital histopathology |
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January 9th, 2024 |
Nic Dobbins, Enabling Research with NLP-driven Cohort Discovery and Query Generation |
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June 20th, 2023 |
Cecilia Lee, Big Data Applications in Ophthalmology |
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June 5th, 2023 |
Judy Wawira Gichoya, Regulating AI Bias |
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May 15th, 2023 |
Jeff Leek, Population scale transcriptomics for precision oncology |
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May 1st, 2023 |
Justin Golub, The Brain Effects of Age-Related Hearing Loss: What the Data Tells Us |
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March 20th, 2023 |
Jonathan Liu, Nondestructive 3D pathology and analysis for precision medicine |
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March 6th, 2023 |
Jayashree Kalpathy-Cramer, Deep Learning in medical imaging: opportunities and challenges |
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April 3rd, 2023 |
Lucy Lu Wang, Incorporating external knowledge for clinical outcome prediction |
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January 1st, 2023 |
Jason Hipp, Building the future of computational pathology & AI at Mayo Clinic |
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December 5th, 2022 |
Lucila Ohno-Machado, Informatics and Data Science: Promoting Fairness in Health Data Analytics |
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November 21st, 2022 |
Bradley Malin, How to Build Bigger and Better Biomedical Research Environments |
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October 17th, 2022 |
Francis “Pete” Creighton, Cooperative Control Robotics and Computer Vision Applications for Semi-Autonomous Skull Base Surgery |
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October 3rd, 2022 |
Various speakers, Computational variant and genome interpretation: a model for evaluation and calibration of machine learning for clinical decision-making |
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March 21st, 2022 |
Jason Moore, Automated genetic analysis using artificial intelligence |
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March 7th, 2022 |
Su-In Lee, Explainable AI: Where we are and how to move forward for cancer pharmacogenomics |
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January 3rd, 2022 |
Ashley Kieman, Use of AI to map large volumes of tissue and tumors at single-cell resolution |
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December 20th, 2021 |
Ali Mokdad, Introduction to the Institute for Health Metrics and Evaluation: Better data for better health |
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November 15th, 2021 |
Ali Shojaie, Explainable Machine Learning for Biomedical Big Data |
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October 19th, 2020 |
Various speakers, Overview of Artificial Intelligence and Data Science in Medicine |
IMDS is supported by the Schools of Medicine and Public Health, the College of Engineering and the Allen School for Computer Science and Engineering