Artificial Intelligence

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Our Artificial Intelligence Special Interest Group (SIG) have quarterly meetings to discuss the latest innovations and share learnings of AI applications. Our goal is to harness the power of AI technologies across the region to improve diagnostic accuracy, enhance patient care, and streamline imaging workflows.

The AI SIG main objectives include;

  1. Supplier engagement
  • Build Strong Partnerships: Foster collaborative relationships with suppliers to ensure access to the latest imaging technologies and innovations.
  • Optimise Procurement: Leverage collective purchasing power to negotiate better terms and prices, ensuring cost-effective solutions for our network.
  • Education and training
  • Professional Development: Provide ongoing resources for imaging professionals to enhance their skills and knowledge.
  • AI Integration: Signposting of specialised training on the use of AI tools and technologies in medical imaging.
  • Continuous Learning: Promote a culture of continuous education to keep pace with advancements in the field.
  • Governance
  • Ethical Standards: Ensure the ethical use of AI and other technologies in medical imaging.
  • Regulatory Compliance: Adhere to all relevant regulations and standards to maintain the integrity and safety of imaging services.
  • Transparency: Maintain transparent governance practices to build trust and accountability within the network.

Our chair of the AI group is

Bahadar BHATIA

Bahadar is the chair of the Black Country ICB,  and WMIN AI Groups, and a past chair of the Institute of Physics, Medical Physics Group. He is an experienced Clinical Scientist and RRDN Speciality Imaging Lead. Supplementing these roles he has developed local clinical academic partnerships in Artificial Intelligence. In addition, he is a part time Honorary Visiting Fellow at the Space Research Centre, University of Leicester, where he develops his interests in X-ray/ gamma photon medical imaging, quantum sensors, and Monte Carlo modelling