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Be Part of the Asia Pacific MedTech Forum 2024

Date

Nov 19 2025

Time

AEDT
9:00 am - 4:00 pm

AI Revolutionising MedTech Symposium Australia

APACMed, in partnership with the Medical Technology Association of Australia (MTAA) and with the support of L.E.K Consulting, is proud to host the AI Revolutionising MedTech Symposium.

AI is a growing strategic priority for MedTech, with the potential to improve patient outcomes and efficiency. In Australia, healthcare is a national AI focus, with four government-led consultations in 2024. Rising cyber threats have prompted calls for stronger protections and these developments create new opportunities for industry to engage with policymakers. 

This symposium will bring together industry, policymakers, and hospitals to showcase the value of AI in MedTech, discuss data access and representativeness, build AI talent, and strengthen infrastructure while supporting innovation and patient care. 

Event Details

Date: 19 November 2025
Time: 9:00 am – 4:00 pm AEDT
Venue: Novotel, Sydney International Airport, Australia
Format: In-person only

Registration Fee

Member (Early Bird): AUD $460
Non Member (Early Bird): AUD $690
Government (Early Bird): AUD $460

Member (Regular): AUD $660
Non Member (Regular): AUD $860
Government (Regular): AUD $660

Who Should Attend

– MedTech industry professionals – particularly those focused on AI and innovation in medical technology

– Policymakers and government representatives, including those shaping national AI and healthcare regulation

– Hospital and healthcare practitioners interested in integrating AI into clinical practices

– Data scientists, AI developers, and digital health specialists working in MedTech or healthcare environments

– Regulatory and compliance officers navigating AI standards in medical technology

– Educators and talent development professionals focused on building AI capability in healthcare

– Cybersecurity experts ensuring secure and scalable AI adoption in MedTech

– Patient advocacy groups and MedTech associations aiming to understand AI’s impact on healthcare equity, representation, and patient outcomes

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