DetectedX details how research in AI can enhance medical imaging education

At the UKIO congress in Liverpool, DetectedX delivered several papers involving collaborations with the University of Sydney, The Newcastle upon Tyne Hospitals NHS Foundation Trust, the University of Suffolk and others. It also facilitated a research project titled ‘AI in medical imaging education (AIMIE): a multidisciplinary, multi-institutional and multinational UKIO hub to turn potential into optimised reality.’

AIMIE is designed to leverage AI to enhance medical imaging education. By fostering collaboration across disciplines and institutions, the project seeks to turn the potential of AI into a reality for radiologists and healthcare professionals.

AIMIE has four key objectives: the integration of AI in education by introducing AI tools into radiology and radiography curricula to enhance diagnostic accuracy and clinical decision-making skills; initiation of a collaborative hub of activity around AI that brings together institutions and experts from various countries, and facilitates sharing of knowledge, resources and best practices in AI-driven medical imaging education; optimising educational outcomes by tailoring AI applications to meet the specific needs of radiology and radiography training programmes, including developing personalised learning modules and interactive training simulations, through continuous research and development; encouraging cross- border collaborations, ensuring that advancements in AI and medical imaging education benefits from diverse perspectives and expertise, ensuring that solutions are unbiased and cater for a variety of populations.

Picture: The research station was busy at UKIO.

See the full report on page 20 of the August 2024 issue of RAD Magazine.