Dev Conference by Neo4j
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Session Track: AI
Session Time:
Session description
Documentation and evaluation of doctor-patient consultations bind immense amounts of time; time that would be more valuable spent with patients or doing follow-up research. Luckily, the emergence of language models has brought about levels of textual understanding that are capable of handling even such complex tasks as medical documentation. In this session, you will learn about Adiu Health, an AI for automated consultation summarisation and analysis. Adiu Health combines LLMs with a Neo4j-backed graph database to perform accurate and efficient graph-based retrieval tasks (GraphRAG) that complement consultation summarisations with follow-up analyses, such as putative drug replacements or drug interaction side effects.
Chief AI Scientist, Perelyn GmbH
Michael Banf, PhD, Chief AI Scientist at Perelyn GmbH fell in love with graphs while using AI to decipher the intricacies of the complex gene regulatory networks in eukaryotic organisms as a Feodor Lynen Postdoctoral Research Fellow at the Carnegie Institution for Science, Stanford. Given his passion for both AI and the Life Sciences, he celebrates the unique opportunities that lie at the intersection of language models and graph datastructures which will enable scientists to drive discovery by interacting with the data in an ever more natural manner.
