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Live Virtual

Generative AI for Oncology Care and Research Use Cases

Type
Webinar
The intersection of Generative AI and oncology presents an exciting frontier for transformative advances in both patient care and cancer research. This webinar aims to explore the nuanced applications and emerging opportunities of generative AI within oncology. Experts will delve into how these technologies can be integrated into precision medicine [...]
Live Virtual

JAMIA Journal Club Webinar - April 2024

Type
Webinar
Credits
1.00
CME
1.00
CNE
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data J Am Med Inform Assoc. 2024 Jan 18;31(2):456-464. doi: 10.1093/jamia/ocad213. Read the abstract Presenters Statement of Purpose The integration of the vast available EHR data and artificial intelligence (AI) in [...]
Live Virtual

Enabling Discovery of Biomedical Research Data: Introducing the Dataset Catalog

Type
Webinar
On February 1, 2024, National Library of Medicine (NLM) announced the launch of a beta version of a new online tool, the Dataset Catalog. This tool is intended to improve the discoverability and reuse of research data by making it easier for users to search, find, and connect biomedical datasets [...]
On Demand

Streamlining Success: Implementing Documentation Burden Reduction with the AMIA 25x5 Toolkit

Type
Webinar
Please note: space is limited. The AMIA 25x5 Taskforce Documentation Burden Reduction Toolkit guides organizations through the process of reducing documentation burden. This webinar will highlight resources related to the governance of EHR optimization, implementation of solutions to reduce burden, and measurement of burden reduction. The webinar will also highlight [...]
On Demand

Generative AI for Improving Care and Research

Type
Webinar
The potential of generative AI is boundless and so too is the need for safe, proven healthcare technology. But how exactly should these two worlds combine? The panel will discuss current shortcomings in healthcare technology, how generative AI and LLMs can (and can't) help, and a systemic approach to assessing [...]