# “How can we involve Patients?” - Students’ perspectives on embedding PPIE into a doctoral training centre for AI in medical diagnosis and care

## TL;DR

This paper explores how PhD students in AI for healthcare can learn to involve patients and the public in their research.

## Contribution

It presents a novel approach to integrating patient and public involvement into AI medical research training for PhD students.

## Key findings

- PhD students in the AI-Medical CDT conducted PPIE activities between 2021 and 2024.
- The paper highlights both the benefits and challenges of embedding PPIE in AI healthcare research training.
- It provides actionable recommendations for integrating PPIE into future AI research projects.

## Abstract

Artificial intelligence (AI) promises to transform healthcare research. However, patients and the public are still not widely involved or engaged within this research area. There is a growing recognition of the importance of incorporating Patient and Public Involvement and Engagement (PPIE) earlier into researcher training. Doctoral training programmes train and support cohorts of PhD students all within a similar research field and therefore may provide the perfect environment to train researchers in PPIE. This paper describes and evaluates the PPIE activities and training within the Centre for Doctoral Training (CDT) in Artificial Intelligence for Medical Diagnosis and Care (“AI-Medical”), at the University of Leeds in the United Kingdom. Authored primarily by PhD candidates from the AI-Medical CDT, it provides an overview of the PPIE activities conducted by students in the CDT between 2021 and 2024. The paper includes first-hand accounts of student experiences, evidenced by quotes, and reflects on these experiences whilst also sharing key learning outcomes. The paper also reflects on the suitability, difficulties, and benefits of including PPIE activities as part of doctoral training programmes, which both develop research leaders of the future and support the students in completing their PhDs. This is particularly important given the current lack of examples incorporating PPIE into AI research projects. It also offers some actionable recommendations for integrating PPIE into future PhD research, whether in other PhD training programmes or within individual research projects. Although written from the viewpoint of the PhD students, this paper will be of interest to patients and the public too, given the increasing use and exploration of AI in health research and therefore the need for the involvement of patients and the public in that work.

Artificial intelligence (AI) in healthcare is a rapidly developing research field, but there is limited evidence that patients and public are widely engaged or involved with its progression. Alongside this, there is a growing recognition of the importance of incorporating Patient and Public Involvement and Engagement (PPIE) earlier into researcher training. Doctoral training programmes (centres) may provide the perfect environment to address both issues. This paper describes and evaluates Patient and Public Involvement and Engagement (PPIE) activities within the Centre for Doctoral Training (CDT) in Artificial Intelligence for Medical Diagnosis and Care (“AI-Medical”), at the University of Leeds in the United Kingdom. Authored primarily by PhD candidates from the AI-Medical CDT, it gives an overview of the PPIE activities conducted within the CDT, including accounts of first-hand experiences, supported by quotes and reflections from students. It also shares key learning outcomes and makes actionable recommendations for integrating PPIE into future PhD programmes and individual research projects. These insights highlight both the successes and challenges of embedding PPIE in healthcare-focused AI research projects in a doctoral training centre.