The Operating Theatre Journal - Journal - Page 23
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The winner of the April 2023 competition is: Katie Wiswell, Student
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Operating Department Practice.
Double honours for innovative
AI technology which speeds up heart diagnosis
- New artificial intelligence tool which
spots heart damage in seconds receives
two national award nominations from
the HSJ Digital Awards, including Digital
Innovator of the Year
- The cutting-edge technology is able to
calculate complex information needed
to provide heart diagnosis without the
need for time-consuming and resourceintensive manual mark-up
- The super-fast analysis could be a ‘game
changer’ in future cardiovascular care,
and is particularly useful in diagnosis
of pulmonary hypertension, a rare and
difficult to spot condition
A team of scientists, clinicians and heart
imaging specialists from Sheffield Teaching
Hospitals NHS Foundation Trust have received
a double award nomination for developing an
artificial intelligence tool which is able to spot
heart damage in seconds.
The cutting-edge technology, which was shown
to have a high degree of accuracy when tested
in a large trial involving 2,000 patient scans,
performs complex mathematical calculations
to measure blood flow in and out of the heart
without the need for manual lengthy analysis
which often leave results from MRI scans
pending for days.
It is also the first AI tool to assess the particular
heart muscle which is responsible for pumping
blood from the body into the lungs.
The super-fast analysis means that doctors
have access to the information they need from
MRI heart scans to understand how well the
heart is pumping and check its health straight
away, speeding up diagnosis and treatment.
The new software, called the AI segmentation
of cardiac MRI to automate the measurement
of cardiac function and volume technology, is
a finalist in both the Digital Innovator of the
Year and Optimising Clinical Pathways through
Digital categories.
The work has been singled out from over 300
entries submitted by 120 organisations to make
it to the final HSJ Digital Awards 2023 shortlist,
which are in their inaugural year. The Awards
aim to shine a light on the exceptional quality
and breadth of innovation and care across the
UK’s health and care systems.
Dr Andrew Swift, Consultant Cardiothoracic
Radiologist at Sheffield Teaching Hospitals and
Senior Lecturer at the University of Sheffield
who worked alongside Dr Samer Alabed, Dr
Kavitasagary Karunasaagarar and Dr Pete
Metherall to develop and test the software,
said:
“We are absolutely delighted with this double
award nomination, which recognises the hard
work of our team in bringing this potentially
game-changing software to the NHS. The new
software provides a quick and comprehensive
analysis of the heart’s function, and has the
potential to free up more clinicians time
to focus on direct patient care rather than
having to do this analysis. The technology
has also been shown to be particularly useful
in observing changes in the heart’s function
caused by pulmonary hypertension, a rare
condition that constricts blood flow in the
arteries of the lung. This in turn causes a
strain on the heart, eventually leading to
heart failure.”
Carl Burgess, 56, who lives in Huddersfield, was
first diagnosed with pulmonary hypertension
in May 2015.
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Issue 392
Dr Kavita Karunasagaraar, Dr Andrew Swift,
Dr Samer Alabed and Dr Pete Metherall and
the segmented results of the MRI heart scan
the AI technology is able to generate in a
matter of seconds
The father-of-three who recently became a
first-time grandfather and has been cared
for at Sheffield Teaching Hospital’s specialist
pulmonary hypertension centre, since August
2015, believes AI has a valuable role in future
healthcare and helping to diagnose conditions
like his.
“Pulmonary hypertension is a rare, easily
overlooked condition, and I was told that I
was 18 months away from dying if further
investigations hadn’t revealed an anomaly
because in my condition the heart is trying
to pump blood through arteries that are too
narrow and therefore has to work much harder.
As with other muscles when worked hard, it
compensates by getting bigger, but this results
in less volume inside the heart – so it works less
efficiently – and it all becomes a vicious circle.”
The technology has been developed by Dr
Andrew Swift, Dr Samer Alabed, Dr Kavita
Karunasagaraar and Dr Pete Metherall with
support from MRI radiographers and clinical
scientists at the Sheffield 3D-lab and in
collaboration with Dr Rob van der Geest at
Leiden University.
May
2023
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