Exploring Large Language Models for Healthcare Har passerat
Tisdag 14 maj 2024 14:30 - 15:00 F2
Föreläsare: Annabelle Painter, Marcus Olivecrona
Spår: Framväxande teknologier
Join us as we investigate and discuss the applications of LLMs in the real world, assessing their true potential and limitations. Our presentation aims to uncover the benefits these tools offer, along with their limitations and appropriateness in various scenarios. We will guide you on how to select the most suitable tool for a specific healthcare issue through strategies and evaluation methods. This lecture provides practical insights into the use of ChatGPT and large language models in healthcare, helping you make informed decisions for your patients and organization.
In the course of our presentation, we'll explore LLMs applications in the real world. What problems can they solve, and when are they appropriate to use? We'll not only show you the tangible benefits these tools offer but also discuss situations when they may be less suitable. The key is knowing how to choose the right tool for the right problem. We'll share strategies and methods for evaluating which tool is best suited for a specific healthcare issue.
In conclusion, this lecture provides practical insights into the use of ChatGPT and large language models in healthcare, aiding you in making informed decisions for both your patients and your organization.
Don't miss the opportunity to move beyond the hype and discover the true potential of AI in healthcare!
Ämne
Artificiell intelligens och maskininlärning
Seminarietyp
Förinspelat + På plats
Föreläsningsformat
Presentation
Föreläsningssyfte
Orientering
Kunskapsnivå
Introduktion
Målgrupp
Chef/Beslutsfattare
Forskare (även studerande)
Nyckelord
Innovativ/forskning
Uppföljning/Nulägesbeskrivning
Patientsäkerhet
Konferens
Vitalis
Föreläsare
Annabelle Painter Föreläsare
Chief Medical Officer
Visiba UK
Dr Annabelle Painter is an NHS primary care doctor with experience working with healthcare AI technologies in industry, academically at Imperial College London and centrally in the NHS AI lab and Health Education England.
Marcus Olivecrona Föreläsare
Head of AI and Medical
Visiba
Marcus has an extensive background in research and development of AI for medicine, with a degree from the University of Oxford and well-cited articles.
He has a particular interest in causal, robust, and explainable AI. Currently, he is leading the development of AI and Medical at Visiba Care.