Contact

Email

mike.conway@unimelb.edu.au

Credentials

Position
Associate Professor in Digital Health
School of Computing and Information Systems
Education
PhD
Sheffield, University of
ORCID

0000-0002-3209-8108

A/Prof Mike Conway

Associate Professor in Digital Health
School of Computing and Information Systems
147 Scholarly works
4 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Predicting patient returns due to complications and recommending follow-up appointments after a dental extraction using machine learning
    DOI: 10.1007/s44163-026-00847-7
  • 2026

    Conference Proceedings

    Whose Side are You on: Investigating Political Bias of Large Language Models
    DOI: 10.1007/978-981-95-4969-6_22
  • 2025

    Journal article

    Psychology student and mental health practitioner experiences of and perspectives on Client101, a virtual client chatbot training tool
    DOI: 10.1186/s12909-025-07668-9
  • 2025

    Journal article

    Evaluating a global classroom initiative to teach machine learning applications in healthcare
    DOI: 10.1186/s12909-025-07918-w
  • 2024

    Research grants (other domestic)

    Hokkaido University/University of Melbourne Symposium on Advancing Digital Health & Medical AI
  • 2022

    Research grants (international)

    Using Narratives to Identify Stigma Phenotypes\2013 a Socio-Ecological Approach
  • 2022

    Research grants (other domestic)

    Appropriate Antimicrobial Use: Scaling Surveillance Using Digital Health
Mike Conway

RECENT SCHOLARLY WORKS

RECENT PROJECTS

  • 2022

    Research Grant

    Leveraging Natural Language Processing and Machine Learning Tools to Identify Prodromal Cognitive Impairment in Longitudinal Social Media Data