Education Catalog
JAMIA Journal Club Webinar - May 2024
Type
JAMIA Journal Club
Sociotechnical feasibility of natural language processing-driven tools in clinical trial eligibility prescreening for Alzheimer’s disease and related dementias Read the Abstract Presenter Statement of Purpose Current clinical trials continue to suffer from low recruitment rates. Improving the recruitment process is a crucial step towards eliminating barriers that inhibit participation and [...]

Generative AI for Oncology Care and Research Use Cases
Type
Industry Partner
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 [...]

AMIA Virtual Hill Day Recap Webinar
Type
Policy
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 have [...]

JAMIA Journal Club Webinar - April 2024
Type
JAMIA Journal Club
Prediction of multiclass surgical outcomes in glaucoma using multimodal deep learning based on free-text operative notes and structured EHR data Read the abstract Presenters Statement of Purpose The integration of the vast available EHR data and artificial intelligence (AI) in healthcare management and clinical care has been a growing area [...]

Enabling Discovery of Biomedical Research Data: Introducing the Dataset Catalog
Type
Member Interests
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 [...]
