Speaker Profile
Ph.D., CTO Innovation, Assuta Medical Center
Biography
Yochai Edlitz is the Chief Technology Officer at the Innovation Department of Assuta Ashdod Medical Center, where he leads the integration of AI and machine learning to improve healthcare services and efficiency. Founder of MLAIA Data Science Ltd., delivering advanced solutions in AI, data science, and signal processing.A veteran officer of an elite IDF technology unit, Yochai has a proven history of developing transformative technologies across industries. His achievements include predictive healthcare models, business intelligence tools, and innovative digital signal processing solutions. With deep technical expertise and strategic leadership, Yochai is dedicated to turning complex challenges into impactful, practical innovations.
Talk
AI-Driven Personalized Support for Hospitalization and Recovery
This presentation showcases an AI-driven tool supporting personalized hospitalization and recovery. It provides a personal assistant, tracks rehabilitation progress, and offers tailored community resources. Designed for patients, families, caregivers, and institutions, it enhances collaboration, streamlines care, and empowers holistic recovery through advanced AI capabilities and real-time insights.
AI and Data Sciences Showcase:
Assuta Ashdod
Established in 2017, Assuta Ashdod Medical Center is a university hospital serving the southern Israel community. Combining advanced technologies with multidisciplinary expertise, it delivers high-quality healthcare, fosters innovation, and conducts groundbreaking research to enhance patient care and support regional medical excellence.
Session Abstract – PMWC 2025 Silicon Valley
The PMWC 2025 AI Company Showcase will provide a 15-30 minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.
