At Inference Analytics, we are mimicking how the human brain understands language to extract critical insights
Response to Covid-19, April 2020
Inference Analytics recently launched Cov-IANN, a Covid-19 Search Engine, offering a new and different approach to published searches based on semantic meaning, not just key words
Access is free to all
Throughout our portfolio of offerings, we offer:
Reduced Physician Burnout
Radiologists were able to
reduce time spent by 20%
on each report using IANN in
our most recent clinical study.
IANN helps clinicians avoid
errors and mistakes, including
catching a laterality error and
much more. In all cases, we
see that the quality of care
should improve.
IANN Products improve
physician efficiency on administering
to their EHR to help restore balance
and to help Physicians get back to
serving patients more quickly.
Rad-IANN
Rad-IANN radiology impression capabilities enable
radiologists to complete cases 20% faster, reducing
radiologist workload and stress
Note-IANN
Clinical Notes Insights and Follow Up Tracking
Note-IANN neural network self-directs learning, driving deeper insights from clinical notes well beyond
the capability of traditional NLPs
Cov-IANN
Cov-IANN classifies every published COVID-19 journal article based on complete semantic content and
not simply key words or titles
Rev-IANN
CDI and Revenue Cycle Management
Rev-IANN neural network facilitates extraction of a patient’s
clinical status from notes and translates into coded data
Hear from our leadership team to learn more about Inference Analytics
View a demonstration of
IANN technology at work
Selected to join
NVIDIA Inception
Incubator for AI
2nd Place in the
AMIA Pitch IT 2019
Competition
IANN is live at
Amazon Marketplace,
selected to AWS
Activate Accelerator
Member of the
startup showcase at
SIIM 2019
Chosen to present on
quality improvements
with the University of
Chicago
Partnering with Nuance to improve the radiologist's workflow
Algorithms’
performance validated
and published by a
premier Academic
institution at over 90%
