AI & Machine Learning
Artificial Intelligence has emerged as the next step in the evolution of the medical imaging industry. At the Medical Imaging Convention we recognise these advancements and will put them on centre stage for all visitors to experience first hand. Find out everything about this new focus area here, and register for tickets by following the link at the top of the page.
Speakers
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Dr Matthew Fenech Future Advocacy
Regulation of AI in healthcare: what should we expect?
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Dr Hugh Harvey Kheiron Medical Technologies
Deep Learning in Breast Cancer Screening
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Dr Phil Koczan NHS England
Assessing the application of Artificial Intelligence and its use in the NHS
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Dr Sue Astley University of Manchester
Deep learning for breast density assessment and risk prediction
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Professor Paul Leeson University of Oxford
Is AI about to revolutionise cardiovascular ultrasound diagnostics?
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Simon Walker-Samuel University College London
Using medical imaging with machine learning to develop efficient tools for diagnosing cancer
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Dr Farzana Rahman Hexarad / UCLH
The Ethics of AI in Healthcare
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Paul Bentley Imperial College London
How can imaging-AI help stroke management?
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Dr Anthony Holmes Holmes Consulting
Bridging the gap: how good ideas become great products
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Dr Ozan Oktay Imperial College London
Neural Networks in Medical Imaging: Towards More Reliable and Automated Clinical Analysis
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Dr Matthew Prime Roche Diagnostics Information Solutions
Personalized healthcare: Leveraging data to improve patient care through clinical decision support in oncology
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Dr Mark Halling-Brown Royal Surrey County Hospital
Practicalities of creating medical image research databases for AI
Dr Matthew Fenech Future Advocacy
Regulation of AI in healthcare: what should we expect?
Dr Hugh Harvey Kheiron Medical Technologies
Deep Learning in Breast Cancer Screening
Dr Phil Koczan NHS England
Assessing the application of Artificial Intelligence and its use in the NHS
Dr Sue Astley University of Manchester
Deep learning for breast density assessment and risk prediction
Professor Paul Leeson University of Oxford
Is AI about to revolutionise cardiovascular ultrasound diagnostics?
Simon Walker-Samuel University College London
Using medical imaging with machine learning to develop efficient tools for diagnosing cancer
Dr Farzana Rahman Hexarad / UCLH
The Ethics of AI in Healthcare
Paul Bentley Imperial College London
How can imaging-AI help stroke management?
Dr Anthony Holmes Holmes Consulting
Bridging the gap: how good ideas become great products
Dr Ozan Oktay Imperial College London
Neural Networks in Medical Imaging: Towards More Reliable and Automated Clinical Analysis
Dr Matthew Prime Roche Diagnostics Information Solutions
Personalized healthcare: Leveraging data to improve patient care through clinical decision support in oncology
Dr Mark Halling-Brown Royal Surrey County Hospital
Practicalities of creating medical image research databases for AI
