Webinar
The AI will see you now? The risks and benefits of innovations in AI
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May 22, 2024

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11:00am - 12:00pm

(GMT-04:00)

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As the healthcare landscape embraces Generative Artificial Intelligence (GenAI), it becomes increasingly important that we address critical aspects beyond technological advancements. In this webinar, we delve into the intersection of GenAI, governance, patient privacy, and the impact of cutting-edge GenAI techniques. Our goal is to unlock the full potential of GenAI while safeguarding patient well-being and data integrity.

While there has been hype around AI in healthcare before, there has been a definite shift over the past 2 years with the broad use of Large Language Models (LLMs). We will set the latest developments in LLMs in the context of broader healthcare AI, and discuss how they are similar and different to previous innovations in this space.

Key takeaways:

  • Understand how GenAI is being integrated into the healthcare sector, focusing on the latest trends and developments
  • Learn about the significant shift in healthcare AI due to the broad adoption of LLMs over the past 2 years, and how they compare to earlier AI innovations
  • Delve into the crucial aspects of governance and ethical considerations in implementing and using GenAI, with a focus on patient privacy and data integrity
  • Obtain actionable insights on how to leverage GenAI effectively in healthcare while ensuring compliance with regulatory standards and norms

Speakers

Dr. Calum Yacoubian
Director of NLP Healthcare Strategy, IQVIA
Calum is a medical doctor who trained and practiced in the UK before moving into medical technology. He has worked with Natural Language Processing in clinical data for 8 years and is passionate about the potential for data to drive improved patient outcomes.

Luk Arbuckle
Chief Methodologist, Privacy Analytics
Luk provides strategic leadership to Privacy Analytics’ clients and organization on how to responsibly share and use data. He draws from an extensive background in statistics, data science and anonymization, and from having worked on the regulatory side as Director of Technology Analysis at the Office of the Privacy Commissioner of Canada.

Jay Nanavati
Director of Advanced NLP, IQVIA NLP methodologies
Jay specializes in deep learning methods for machine learning applications in the life sciences and healthcare domain, and has served in leading roles at AstraZeneca, and Microsoft Research where he has delivered innovative AI solutions that have contributed to significant investment decisions, and improved patient outcomes.

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