medical imaging: 8 opportunities for technology entrepreneurs and investors
DESCRIPTION
There is tremendous opportunity currently to conduct advanced analysis of imaging data for diagnostic and treatment planning purposes, to combine imaging data from various sources and to share images for better medical collaboration. While medical imaging used to be the exclusive domain of large multinational medical devices companies, startups are entering the fray with software-based solutions and clever use of open-source or consumer-based technologies.TRANSCRIPT
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Medical Imaging for
Decision Support, Diagnostics,
Research & Education
8 Opportunities for tech entrepreneurs and
investors
Prepared for HealthStartup.eu 6 on medical imaging for decision support & diagnostics.
November 19, Heidelberg http://healthstartup.eu/2013/06/hsu6call/
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Why Should You Care?
Trend 1: A massive increase in the volume and
complexity of imaging data
Trend 2: The promise of eHealth (sharing medical
images within the healthcare system)
Trend 3: Increasing demand for solutions that reduce
costs and increase efficiency
Trend 4: The rise of patient empowerment
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A massive
increase in the
volume &
complexity of
imaging data
1
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Imaging technology is
advancing rapidly, leading to
ever more modalities
Radiography
MRI
Nuclear medicine
Fiduciary Markers (SPECT, PET)
Ultrasound
Tomography
Thermography
Photoacoustic imaging
Echocardiography
Consumer networked photography (smartphones)
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All of which
generates data,
lots of data to
archive &
manage
1 Exabyte = 1 billion gigabytes Frost & Sullivant predicts that diagnostic imaging
alone will generate 1 exabyte of data by 2016,
creating a huge data archiving burden for
hospitals
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But data is food for
software
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Which enables interdiscisplinary
research in:
• Medical image visualisation
• Computer aided diagnosis
• Computer aided surgical planning
• Computer aided intervention
• Molecular imaging
(image courtesy Nagoya University Diagnostic
Medical Imaging Lab)
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The promise of
eHealth (sharing
medical images
within healthcare
system)
2
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Efficiency: avoiding repitition of medical
imaging
Safety: caregivers have immediate
access to their patient’s earlier medical
images
Outcomes: caregivers can work together,
sharing info & expertise, to decide best
treatment
The eHealth promise?
1
3
2
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But the silos need to
be unlocked
“Most of the vast stores of imaging data remain
locked in silos—contained within proprietary
schema erected by different PACS
manufacturers. ...much of the medical imaging
data may not be easily shared across a single
enterprise, much less across different provider
networks and regions.”
- Frost & Sullivan White Paper
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Increasing demand
for solutions that
reduce cost and
improve efficiency
3
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$19 billion
4-5% CAGR)
Global market for medical imaging devices
continues to grow (InMedica), driven by rising
demand for healthcare (ageing populations +
emerging markets)
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But the downturn is forcing most buyers to reduce
spending on high-end imaging devices. Also, emerging
markets are keen on more affordable solutions. Creating
pockets of growth in point of care ultrasound, mobile x-ray
& multimodality devices
Siemens introduces
a more affordable,
wired-detector
version of its high-
end Mobilett Mira
mobile digital X-ray
system
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MedPAC recommends utilisation factor of 90% for medical
equipment costing over $1 million
How to achieve that without negative consequences for
patients?
$1,000,000 –
$10,000,000 Price range of an MRI
machine
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The rise of patient
empowerment 4
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Most patients want direct access to their
radiology images and reports.
(J. Am. Coll. Radiology, April 2012)
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Given the above trends, here’s
8 opportunities
for tech entrepreneurs & investors
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Analyse imaging
data for Computer-
Aided-Diagnosis,
therapy planning,
and therapy
assistance
1
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Alma IT systems
develops medical
imaging software
for diagnostic and
therapy planning
purposes, that is
integrated with
main PACS, RIS &
HIS systems.
www.alma3d.com
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Virtual Proteins develops 3D visualisation and augmented
reality applications, for therapy planning and research
purposes
www.virtualproteins.com
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The Nagoya University
Medical Image Processing
Lab develops solutions for
medical image visualisation,
computer aided diagnosis
and computer assisted
interventions
Right-above:
Endoscope
insertion assistance
system
Left: Virtual
unfolded view of
the stomach Right-below: Automatic
detection of colonic
polyps from CT images
http://www.med.nagoya-u.ac.jp/english01/6489/6600/Diagnostic-Medical-Image-Processing.html
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German company Mint
Medical develops
image processing
methods to improve
medical diagnosis,
therapy planning and
computer-assisted
therapy
http://www.mint-medical.de/
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Quantifying,
analysing &
visualising
imaging data for
research purposes
2
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Belgian company IcoMetrix offers advanced image
processing for quantitative analysis of biomedical
images (which is useful for for research purposes)
http://www.icometrix.com/
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The Applied Medical
Informatics working
group at ExMI
(Experimental
Molecular Imaging)
lab (Uni.
Hosp.Aachen)
develops methods to
quantitatively analyze
clinical and
preclinical image
data. One aim is to
automate certain
analytical steps. http://exmi.rwth-aachen.de/
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da-cons offers data
analysis and
visualisation services
pertaining to 3D
microscopy and 3D
cell biology. Handling
large 3D, 4D or 5D
imaging data files that
can be up to several
terabytes or even
petabytes in size
requires immense
computational power
http://www.da-
cons.de/en/welcome
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Process imaging
data for efficient
recording, storage,
networking &
mobile/web-based
visualisation
3
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Belgian company
Telemis was founded as
a medical imaging
software company
(expertise in image
compression and
networking) and ended
up competing as an
independent PACS
vendor.
http://www.telemis.com
Read our interview with the CEO here: http://healthstartup.eu/2012/06/14-lessons-for-
health-startups-from-a-successful-health-tech-entrepreneur/
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eSaturnus is a Belgian
company with roots in
the universities in
Leuven and Oxford. The
company developed a
user-friendly medical
image recorder (to
review cases, for patient
communication, for
education) and a
networked visualisation
solution that serves as a
control platform for
surgeons.
www.esaturnus.com
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Dixit Solutions in Italy built a web-based image and
diagnosis exchange network, called WIDEN,
designed specifically for clinical trial purposes
http://www.dixitsolutions.com/
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Calgary
Scientific
developed a
medical
image
viewer for
mobile and
tablets, with
clinical
workflow
tools .
www.calgaryscientific.com
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Jack Imaging is a web-based platform for sharing
medical images
https://beta.jackimaging.com/
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Create searchable
imaging databases
for decision
support,
collaboration, &
education
4
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Diagnologic is
a search
engine of
200,000+
radiological
images,
designed to
help clinicians
make
diagnostic
decisions
www.diagnologic.com
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VisualDX is a
database of
medical photos
(100,000+ peer-
reviewed images)
for diagnostic
purposes. It is
web-based and
easy to integrate in
point-of-care
www.visualdx.com
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German
company
Averbis
developed a
tool for data
mining
radiological
diagnostic
reports &
images
www.averbis.de
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Khresmoi developed a multi-lingual, multi-modal
search and access system for biomedical information
and documents. It can be used for analyzing and
indexing multi-dimensional (2D, 3D, 4D) medical
images
www.khesmoi.eu
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Create imaging
interfaces & tools
for patient
education
5
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3D4Medical creates anatomy
apps for educational purposes www.3d4medical.com
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Vitalrecon processes imaging data at high spatial
resolution to create detailed 2D, 3D & 4D
visualisations for educational and research
purposes www.vitalrecon.com
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A German research
team developed the
‘Magic Mirror’, an
Augmented Reality
system (using Microsoft
Kinect) that allows a
user to virtually look
inside the own body, by
standing in front of a
magic mirror.
http://campar.cs.tum.edu/files/mirracle/index.htm
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Develop low-cost
imaging devices &
solutions for
primary care and
consumers
6
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MobiSante
developed a
smartphone-
based
ultrasound
imaging
system
http://www.mobisante.com/
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Skin Analytics lets
people keep track
of their moles
using their
smartphone. The
software helps
detect changes in
the structure and
colour of moles.
www.skin-analytics.com
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3Derm is
developing a
solution that
enables primary
care givers to take
3D images of skin
moles and upload
them to a web-
based platform for
remote consults
http://3derm.com/pitch.html
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Film & broadcast
medical practice
for educational &
research purposes
7
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Medinbox
develops
solutions for
recording and
broadcasting
surgery (from
multiple
angles +
technical
feeds)
http://www.medinbox.com/
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Use image-
recognition &
movement
detection
technology to
develop novel user
interfaces for
healthcare
8
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TedCas
developed
aseptic
Natural User
Interfaces
based on
Microsoft
Kinect
www.tedcas.com
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Slovenia-based Adora developed an
interactive (and contact-free) physician’s
assistant enabling presentation of patient's
information before and during surgical
procedures www.adora-med.com
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Consider
7
potential
challenges
3
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1 Clinical validation
It is necessary
It takes time
It is expensive
How will you fund it?
Who will you partner with (startup
+ university + large tech/pharma)?
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2 Integration
How will you make it easy,
convenient & secure for clinicians
to take part?
Work with clinicians & providers,
integrate with their systems and
interfaces.
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3 Business model
Who will pay?
Healthcare providers
Patients
Established PACS/medical devices
Health insurance
Public health/government
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Europe’s networking
conference for digital
health innovators.
Conference topic: Imaging
for decision support and
improving diagnosis
Join us in Heidelberg on
November 19
http://healthstartup.eu/2013/06/hsu6call/