Three‑Layer Fixed Entity Architecture in Graph RAG Multi‑Agents in Reproductive Medicine
Hallucination, and explainability in LLM are considered to be the most important threats when deploying production grade Agentic AI model in healthcare. We present here a new architecture approach combining Graph RAG, Medical Ontologies, fined‑tuned NER, Multi Agent Models, combining both local and cloud computing for safe, secure, and efficient model deployment, using small dataset of public knowledge and real patient files in reproductive medicine in North Africa. This work is a collaborative work between public and private fertility clinics and Computer Science startup based in Tunisia. Undergoing Randomized trial is being deployed to measure the impact of Agentic AI models in managing stress and anxiety levels for patients undergoing fertility treatments.
About the speaker
Kais Zhioua
CEO/Co-Founder
at Tanit Healthcare Technologies
Kais Zhioua is a Board Member at Tunisia Health Alliance, Clinique la Rose and Fertillia and founder of Tanit Healthcare Technologies, an personal companion towards parenthood designed by doctors delivered by AI. He works as Chief Strategy and innovation at Clinique la Rose. He started working in the healthcare sector since 2013. In 2016 he started working in Tunisia, with an extensive focus on the Fertility treatments in Africa. His experience encompassed, among others, strategic development, digital marketing, market research, international cooperation, advocacy, fundraising, healthcare infrastructure development and recently AI. Kais was born in Tunis, Tunisia in 1988. He graduated in 2015 from Krannert Management School, Purdue University and EM Lyon in Global Entrepreneurship and Innovation.
When
Sessions: April 2nd – 3rd 2024
Trainings: April 15th – 19th 2024
Contact
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