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Ethan Williams

Registrar, Perth Children's Hospital

Ethan is a Paediatric Trainee and a PhD Candidate exploring the use of AI and Machine Learning to aid in patient flow prediction from Emergency Departments. His research focuses on performance drift, model adaptation and bridging the gap from simulation to clinical implementation. He is currently leading the PREDICT-DL trail, a live implementation of admission and length of stay prediction from triage data at Perth Children’s Hospital across 2026.

Ethan is a Paediatric Trainee and a PhD Candidate exploring the use of AI and Machine Learning to aid in patient flow prediction from Emergency Departments. His research focuses on performance drift, model adaptation and bridging the gap from simulation to clinical implementation. He is currently leading the PREDICT-DL trail, a live implementation of admission and length of stay prediction from triage data at Perth Children’s Hospital across 2026.

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Key dates

  • Abstract Submissions Open

    16 March

  • Early Bird Registrations Open

    7 May

  • Abstract Submissions Close

    1 July | 15 July EXTENDED

  • Abstract Acceptance Notification

    Early September

  • Volunteer Applications Close

    26 August

  • Presenter Acceptance Deadline

    Early September

  • Early Bird Registration Deadline

    7 September

  • Presenter Registration Deadline

    Late September

  • Standard Registration Deadline

    6 November

Related

Workshops

ASM 2026 has a range of hands-on educational workshops available for all delegates.  The ASM program time zone is GMT+8:00, Perth, Western Australia, Australia. To check the program times in your location, use a time zone converter. 2025 2025 – major partner 2026 Full day Half day AM Half day PM Sunday 22 November Thursday 26 November All

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