Gabriel Maicas Suso

Mr Gabriel Maicas Suso

AI Lead for Women's and Children's Hospital

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology


Gabriel Maicas is the AI Lead for the Women’s and Children’s Hospital (WCH) at The Australian Institute for Machine Learning (AIML). Gabriel leads the development and integration of state-of-the-art machine learning research into WCH to improve patient outcomes and experience, and hospital efficiency. Gabriel’s research focuses on a range of health fields where AI has the potential to benefit the broader society and have a greater impact on patients.

Previously, Gabriel was a research assistant at AIML focused on several health-AI areas including the early diagnosis of diseases and personalised medicine to improve treatment decisions. Gabriel obtained his PhD in Medical Image Analysis from The University of Adelaide (Australia) in 2018. Gabriel received his Master’s degree in Computer Vision from Universidad Rey Juan Carlos (Madrid, Spain) and graduated from Universidad Autonoma de Madrid (Madrid, Spain) with a double major in Mathematics and Computer Science.

Gabriel’s research focuses on a range of health fields where AI has the potential to benefit the broader society and have a greater impact on patients.

2021 - Center for Augmented Reasoning - Funding for 1 PhD

2020 - Endometriosis Australia (Co-Applicant) - $ 30,000

2019 - eHealth Innovation Royal Adelaide Hospital (Co-Applicant) -  59,900

2019 - Australian Gynaecologic Endoscopy Society (Co-Applicant) - $ 9,570

  • Position: AI Lead for Women's and Children's Hospital
  • Phone: 83134729
  • Email: gabriel.maicas@adelaide.edu.au
  • Campus: North Terrace
  • Building: Australian Institute for Machine Learning, floor 1
  • Org Unit: Australian Institute for Machine Learning - Operations

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