The research group Community Genetics would like to invite you to a colloquium:
Artificial intelligence-simplified information to advance reproductive genetic literacy and health equity
Marjan Naghdi, PhD researcher, Laboratory of Cellular Genomic Medicine, Maastricht UMC+
Can artificial intelligence (AI) and large language models (LLMs) effectively simplify patient education materials (PEMs) to advance reproductive genetic literacy and health equity?
Integrating AI/LLM into patient education strategies may advance health equity by improving understanding and facilitating informed decision-making. Thereby, more effective engagement of patients in reproductive genetic testing programs by assisting them with well-informed decision-making.
Marjan Naghdi, (…) Masoud Zamani Esteki, Artificial intelligence-simplified information to advance reproductive genetic literacy and health equity, Human Reproduction, Volume 40, Issue 9, September 2025, Pages 1681–1688, https://doi.org/10.1093/humrep/deaf135
Location: join online via Teams:
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Nu deelnemen aan de vergadering
Vergadering-id: 321 918 513 449 5
Wachtwoordcode: xB244QZ6
You are most most welcome to attend this colloquium!