Sam P. Ingram

📍 Manchester, UK

Hi, I’m Sam 👋 and welcome to my website. This small corner of the web is held hostage for me to capture elements of my work and hobby life in one place.

I’m a clinical medical physicist working at The Christie which is in Manchester, UK. The Christie is one of the largest cancer centres in Europe and houses one of two proton therapy centres which make up the UK’s national service. I also research the same topic for the University of Manchester.

I have a keen interest in how AI 🤖 may be used in radiation therapy - now and in the future. Much of my upcoming content will be focused around this topic and will be exploring topics such as:

effective infrastructure and deployment
safety and ethical considerations
training for multi-disciplinary user groups
measuring impact

Feel free to take a look around and if you like what you see give me a follow on Twitter or contact me at any of the links.

news

Jul 18, 2022	PyFoci Paper Published! 🥳
May 23, 2022	Topol Fellows cohort 3 profiles go live!

Sam's recommended read

Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

Gaube, Susanne, Suresh, Harini, Raue, Martina, Lermer, Eva, Koch, Timo K., Hudecek, Matthias F. C., Ackery, Alun D., Grover, Samir C., Coughlin, Joseph F., Frey, Dieter, Kitamura, Felipe C., Ghassemi, Marzyeh, and Colak, Errol

Scientific Reports 2023

Abs

Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. However, the impact of AI-generated advice on physicians’ decision-making is underexplored. In this study, physicians received X-rays with correct diagnostic advice and were asked to make a diagnosis, rate the advice’s quality, and judge their own confidence. We manipulated whether the advice came with or without a visual annotation on the X-rays, and whether it was labeled as coming from an AI or a human radiologist. Overall, receiving annotated advice from an AI resulted in the highest diagnostic accuracy. Physicians rated the quality of AI advice higher than human advice. We did not find a strong effect of either manipulation on participants’ confidence. The magnitude of the effects varied between task experts and non-task experts, with the latter benefiting considerably from correct explainable AI advice. These findings raise important considerations for the deployment of diagnostic advice in healthcare.