Shirli Di-Castro Shashua
Dr. Shirli Di-Castro Shashua is a professional in machine learning and AI technologies. She earned her PhD from the Technion in the Faculty of Electrical and Computer Engineering, specializing in reinforcement learning, following her BSc in Biomedical Engineering from Ben Gurion University. Currently, Shirli holds the role of Senior Data Scientist at Embie, where she develops innovative solutions to fertility clinics using advanced generative AI capabilities.
Sessions
In the ever-evolving landscape of healthcare, doctors face an ongoing challenge: how to access vital medical information about their patients buried deep within databases. Traditional methods have proven time-consuming and often fall short of providing the comprehensive answers doctors need. But what if I told you that AI, SQL, and GraphQL have walked into fertility clinics, offering a groundbreaking solution?
In my presentation I explore the innovative use of Large Language Models (LLMs) in medical feature development. I introduce a novel approach that leverages LLMs to translate doctors' intricate questions into SQL and GraphQL queries, enabling prompt and accurate retrieval of patient data. The result? A revolution in the way doctors access and utilize critical information to make informed decisions.
Join me at the development table as we uncover the objectives behind crafting the "chatting with my medical database" feature. Together, we'll unravel how LLM-based Python chains became integral to this feature and how GraphQL emerged as the superhero, leaving SQL in the dust. We will dive deep into the key development considerations that influenced our choices, encompassing security, flexibility to handle diverse inputs, and reliability in providing doctors with answers to their questions.