Fields:

  • Cancers
  • Dermatology and skin cancer
  • Health informatics
  • Medical image analysis
  • Public health
  • Telemedicine/online health

Location: Princess Alexandra Hospital

Type of student:

  • Both HDR and Extra-curricular
  • Honours students
  • 4 Unit Masters of Public Health (MPH) Student
  • PGY1: Post-graduate year 1
  • PGY2: Post-graduate year 2

Type of work:

  • Literature review
  • Statistical analysis

Brief synopsis:

Work with an experienced team of researchers within the Centre for Health Services Research and Dermatology Research Centre, UQ on our innovative 3D-total body imaging system for the early detection of melanoma. 3D total-body imaging and artificial intelligence technology could play a role in identifying lesions with a high likelihood of melanoma.

Under guidance from the team, we are looking for a student to help develop and write a protocol and submit an ethics application for a diagnostic study that aims to assess the accuracy of an artificial intelligence–based melanoma detection algorithm, compared with clinical assessment and histopathological diagnosis.

Website: acemid.org.au

Supervisor

Monika Janda

Professor Monika Janda

Professor in Behavioural Science
Centre for Health Services Research