Shirli Di-Castro Shashua

Embie
AI, SQL, and GraphQL Walk into a Fertility Clinic… LLM-based Medical Feature Development

Bio

Shirli holds a PhD in reinforcement learning from the Technion. Her expertise lies in the field of artificial intelligence, where she has developed and implemented models in different domains. At Embie, Shirli implements Generative AI and Machine Learning models.

Abstract

In the ever-evolving landscape of healthcare, doctors face an ongoing challenge: how to swiftly 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 delve into 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 LLMs became integral to this feature, and how GraphQL emerged as the superhero, leaving SQL in the dust. We will delve 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.

Agenda

8:45 Reception
9:30 Opening remarks by WiDS TLV ambassadors Noah Eyal Altman, Or Basson, and Nitzan Gado
9:45 Dr. Aya Soffer, IBM: "Putting Generative AI to Work: What Have We Learned So Far?"
10:15 Prof. Reut Tsarfaty, Bar-llan University: "Will Hebrew Speakers Be Able to Use Generative AI in Their Native Tongue?"
10:45 Break
11:00 Lightning talks
12:20 Lunch & poster session
13:20 Roundtable session & poster session
14:05 Roundtable closing
14:20 Break
14:30 Dr. Orna Amir & Hila Kantor, Google: "A User-Centric Framework for Quantifying Notification Harm"
14:50 Naomi Ken Korem, Lightricks: "Mastering the Art of Generative Models: Training and Controlling Text-to-Video Models"
15:10 Dr. Yael Mathov, Intuit: "Surviving the AI-pocalypse: Your Guide to LLM Security"
15:30 Closing remarks
15:40 The end

WiDS TLV important update

Dear WiDS TLV attendees,

In light of recent developments, we regret to inform you that the WIDS TLV 2024 event scheduled for tomorrow has been postponed to June 3rd, 2024. We apologize for this last-minute change and look forward to seeing all of you on June 3rd.