Closing the AI Healthcare Divide: Global Policy Recommendations for Equitable Implementation

Here’s an updated version of your Pure profile with the additional section describing your work on the Alan Turing Institute-funded project in Milan:
I am a PhD student in Population Health Sciences at the University of Bristol, focused on investigating the use of AI technology for diagnosing deep vein thrombosis (DVT) to improve diagnostic access in primary care. I am currently on a temporary break from my studies to work on two exciting projects.

I previously completed an internship at the UK House of Lords, where I gained valuable insights into policy-making for AI technology and the stakeholders involved. I am now working on an international, Alan Turing Institute-funded project at the Human Technopole Government Research Centre in Milan, Italy, titled *Closing the AI Healthcare Divide: Global Policy Recommendations for Equitable Implementation*. This project investigates the disparities in AI adoption between high-income and low-income countries, with a focus on healthcare. By comparing policies across eleven countries, including the United Kingdom and Nigeria, we assess how regulatory, socio-economic, and infrastructural challenges influence AI adoption in healthcare.

The project includes a case study on AI-assisted ultrasound imaging in maternal health and aims to provide actionable policy recommendations to ensure equitable AI implementation. Our findings highlight the need for international cooperation, regulatory harmonisation, and targeted investments in low-resource settings to ensure that AI-driven healthcare benefits all populations equally.

I'm a PhD student at the University of Bristol, researching how AI can improve diagnosis of deep vein thrombosis (DVT) in primary care. Currently, I'm working on an exciting project in Milan, funded by the Alan Turing Institute, which looks at how different countries are adopting AI in healthcare. The goal is to understand the challenges faced by both rich and poor countries in using AI, especially in healthcare, and to recommend policies that will help ensure everyone has access to these life-saving technologies. We're comparing policies in countries like the UK and Nigeria, and looking at real-life examples like AI-assisted ultrasound for maternal health to see how we can make AI healthcare more equal around the world.

I'm a PhD student at the University of Bristol, researching how AI can improve diagnosis of deep vein thrombosis (DVT) in primary care. Currently, I'm working on an exciting project in Milan, funded by the Alan Turing Institute, which looks at how different countries are adopting AI in healthcare. The goal is to understand the challenges faced by both rich and poor countries in using AI, especially in healthcare, and to recommend policies that will help ensure everyone has access to these life-saving technologies. We're comparing policies in countries like the UK and Nigeria, and looking at real-life examples like AI-assisted ultrasound for maternal health to see how we can make AI healthcare more equal around the world.