Postgraduate research opportunities Applied AI in Healthcare


Key facts

  • Opens: Wednesday 19 January 2022
  • Number of places: 1
  • Duration: 36 - 48 months


The aim is to create a successful Artificial Intelligence (AI) implementation and, through that, gain a better understanding of what makes a successful AI implementation in the relevant healthcare problem area.
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The applicants should have:

  • some experience working in healthcare
  • an interest in AI (no prior knowledge of AI is necessary)
  • an educational background in medicine or healthcare administration (preferred)

The chosen student learn AI in a “no-code” manner, using Open-AI, Watson, Doctus and similar sophisticated AI application. Technical support will be provided.

THE Awards 2019: UK University of the Year Winner
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Project Details

This doctoral project will start with learning about AI in a non-technical way. The purpose is to deliver a working AI implementation in a suitable problem area and then evaluate the usefulness of the implementation, its value, perception, etc. Therefore the empirical part of the study will be ethnographic, which is why being a “medical insider” is of great value.

Objectives include:

  • identification of a suitable healthcare problem area
  • an understanding of what various AI solutions could deliver in that area and what conditions need to be met
  • conducting an actual AI implementation
  • understand the conditions that made the implementation successful
  • observe and explain the implications
  • map the benefits and costs of the AI implementation

Further information

This project will be a pilot, based on which a doctoral programme will be designed. At this point, the goal is to figure out what makes a good AI implementation in the narrowly defined problem area.

Further projects will be conducted in other areas, hopefully leading to insight that will help improve AI implementations more generally.

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Dr Viktor Dorfler

Management Science

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Professor Lauer

Professor Jeremy Lauer

Management Science

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Number of places: 1

There may be a shortlisting and interview process.

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