ON-DEMAND
Presentations
Presentation: Insights and Challenges of Adoption of AI in Healthcare/MedTech
Recent advances in AI have seen exponential rates of progress and massively shortened innovation cycles. How are MedTech companies adapting to these changes, in an industry where risk appetite is very low and development lead times are traditionally long? In this talk we will cover some of the unique opportunities and challenges of deploying AI in the MedTech industry, including:
- Patient and clinician needs, and navigating safe use of the technology
- Supporting clinical decision-making
- Data privacy and stewardship
- How AI can be used to break down organizational barriers to its own adoption
Karl Surmacz
Associate Director Data Science
ZIMMER BIOMET
Presentation: AI-Driven Innovations in Healthcare and Emergency Services
This talk will address how the intersection of AI, data science, and healthcare is transforming patient care and operational efficiency, focusing on key questions such as:
• How can machine learning (ML) and AI optimise vehicle telematics for emergency services, ensuring operational readiness and safety?
• How can AI-based diagnostic tools, including computer vision and ML classiers? What role do large language models (LLMs) and generative AI play in predicting and preventing critical equipment failures?
• What strategies enable scalable, cost-effective AI solutions to improve patient outcomes and streamline healthcare operations?
• How can collaboration between data science, digital innovation, and medical elds drive advancements in global public health?
This presentation will explore these questions through real-world applications, emphasising how AI models, such as LLMs and ML classiers, are transforming healthcare delivery and emergency response systems.