CTS Ontology Workshop 2023: Difference between revisions
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<font size="+3">Ontologies, AI and Electronic Health Records</font> | <font size="+3">Ontologies, AI and Electronic Health Records</font> | ||
More about the '''[[Clinical and Translational Science Ontology Group]]''' and previous meetings. | More about the '''[[Clinical and Translational Science Ontology Group (CTSOG)]]''' and previous meetings. | ||
<font size="+2">Feb 23 - 24, 2023 - Charleston, SC</font> | <font size="+2">Feb 23 - 24, 2023 - Charleston, SC</font> | ||
== '''Background''' == | |||
'''The Clinical and Translational Science Ontology Group (CTSOG)''' invites you to join us March 16-18, 2022 in Orlando, Florida to discuss AI, Complex Systems in Biomedicine, and the role of ontology both in tempering the expectations of AI and advancing it to goals it can achieve. For example, we hear things all the time like “Google’s deep-learning program for determining the 3D shapes of proteins stands to transform biology, say scientists.” An optimism of this sort as to the potential of AI is shared by many working in the field of clinical and translational science. The purpose of this workshop is to explore the basis for this optimism, by looking at successes and failures of AI in different areas of biomedicine. | |||
== '''Themes''' == | |||
* Improving the EHR with ontologies and with AI | * Improving the EHR with ontologies and with AI | ||
Revision as of 21:04, 5 January 2023
Ontologies, AI and Electronic Health Records
More about the Clinical and Translational Science Ontology Group (CTSOG) and previous meetings.
Feb 23 - 24, 2023 - Charleston, SC
Background
The Clinical and Translational Science Ontology Group (CTSOG) invites you to join us March 16-18, 2022 in Orlando, Florida to discuss AI, Complex Systems in Biomedicine, and the role of ontology both in tempering the expectations of AI and advancing it to goals it can achieve. For example, we hear things all the time like “Google’s deep-learning program for determining the 3D shapes of proteins stands to transform biology, say scientists.” An optimism of this sort as to the potential of AI is shared by many working in the field of clinical and translational science. The purpose of this workshop is to explore the basis for this optimism, by looking at successes and failures of AI in different areas of biomedicine.
Themes
- Improving the EHR with ontologies and with AI
- The functions of the EHR and other healthcare documents
Special Focus Areas:
- Social Determinants of Health
- Mental health
- EHR across the lifespan
