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Live Virtual

National Academies of Medicine Artificial Intelligence Code of Conduct Webinar

Type
Webinar
Join us for a webinar outlining the National Academies of Medicine (NAM) Artificial Intelligence Code of Conduct (AICC) discussion draft. Several AMIA leaders are leading the AICC project and would appreciate feedback from AMIA members to take back to NAM to potentially incorporate into the final publication.
On Demand

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 [...]
On Demand

AMIA Virtual Hill Day Recap Webinar

Type
Webinar
Join the AMIA Public Policy team to hear about the connections and progress made, along with experiences from AMIA’s first-ever Virtual Hill Day . During the webinar, you will learn what this means for AMIA in the future and how AMIA can continue to build on this momentum. Participants will [...]
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
On Demand

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 [...]