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How artificial intelligence is tackling heart disease? Find out at ICNC 2019
12 to 14 May in Lisbon, Portugal
Integrating artificial intelligence (AI) to analyse imaging data allows
early recognition of heart disease, saving patients’ time, money and,
most importantly, lives. Find out how at ICNC 2019, the
International Conference on Nuclear Cardiology and Cardiac CT (ICNC) –
co-organised by the American Society of Nuclear Cardiology (ASNC), the
European Association of Cardiovascular Imaging (EACVI) of the European
Society of Cardiology (ESC), and the European Association of Nuclear
The international meeting will be held 12 to 14 May at the Lisbon
Congress Centre (CCL) in Portugal.
Explore the scientific
programme and discover how scientists and clinicians are
pushing the boundaries of knowledge to improve prevention, diagnosis,
and treatment of heart disease.
The meeting will showcase 300 novel studies, including:
of AI to select patients for treatment.
on the flipside – how AI prevents unneeded tests.
learning to predict cardiovascular events.
neural networks, a type of AI, teach beginners to interpret
complex imaging results.
patients are most at risk of death? Machine learning has the
imaging to predict cardiovascular outcome after liver
insights on valve disease from a remote population with a
subsistence-based, physically active lifestyle.
of cocaine use and risk of heart disease.
costs of cardiac imaging in obese patients.
protocol to improve cardiac image quality in heavier patients.
ICNC is the meeting where more than 600 clinicians and scientists from
around the world gather for the latest updates on state-of-the-art
nuclear cardiology and cardiac computed tomography (CT). Over 2.5 days
and 30-plus scientific sessions, more than 120 global experts will
present advances in this rapidly moving field.
Dr Danilo Neglia, EACVI scientific programme co-chairperson, said: “The
congress focuses on emerging topics in cardiovascular diseases,
including how to integrate advanced imaging modalities for early
recognition of disease and personalised patient management. We will see
how the fast development of non-invasive nuclear and CT imaging
technology can help us avoid invasive or unnecessary procedures, better
define the risk of the single patient, and guide treatment in the most
Dr Wael Jaber, ASNC scientific programme co-chairperson, said: “This
conference will bring together cardiac imaging experts to look at the
horizon going forward in non-invasive imaging of cardiovascular
diseases. Sessions will be interactive and feature live reporting from
the Cleveland Clinic of image interpretation in patients undergoing
single photon emission computed tomography (SPECT) and positron
emission tomography (PET).”1
Dr Fabien Hyafil, EANM scientific programme co-chairperson, said: “We
are at a new frontier where artificial intelligence can integrate
clinical and imaging data to provide a ‘decision support system’ to the
clinician for effective diagnosis and treatment. Original scientific
research will be presented in this and other areas of innovation.”