The
take-up of digital pathology technology is expected to increase during the next
decade and the main adopters of this technology will be healthcare
organizations, such as hospitals and diagnostic laboratories, according to a
new report.
As
well as digital technologies in general, the healthcare sector will be
enhancing digital images with artificial intelligence to help pathologists to
detect key signs earlier or to help with greater accuracy.
Other
advantages that will arise from such technology are centered on decreasing
turnaround time, prioritizing critical cases, and improving overall patient
outcomes. To do so will involve innovating and developing tools for primary and
secondary analysis.
These
are key highlights from a new report issued by Frost & Sullivan.
The report is titled “Digital Pathology: Roadmap to the Future of Medical
Diagnosis.” The
types of technologies within this space are digital whole slide
scanning, digital imaging solutions, and offering a digital data repository,
which can be subject to big data analysis.
Many
of these technologies will enable researchers to access databases from the
cloud and for hospitals to collaborate together, in terms of sharing images. It
is also possible to send an image around the world so that a second opinion can
be given from a specialist consultant.
The
report charts how the regulatory landscape has shifted and there is proven
method qualification to show that digital systems are very effective, resulting
in the barriers to technology take-up and implementation being lower.
As
an example, the digital pathology system, and artificial intelligence platform,
OsteoDetect has gained approval from the U.S. Food and Drug Administration
(FDA). The technology is used for the detection of distal radius fracture.
Commenting
on the report,
Deepak Jayakumar, Senior Research Analyst, TechVision states: “Artificial
intelligence has the potential to analyze big data and find patterns and
insights that could enhance patient outcomes in the field of pathology. It can
serve as a supplementary or a validation tool in imaging analytics for
pathologists, and help process more slides in a shorter duration."
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