development and validation of a breakthrough ai-guided
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Development and Validation of a Breakthrough AI-Guided Echocardiography System
Ha Hong, Ph.D.Founding Team Member
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Prelude: understanding and emulating the brain
Image
“Airplane”
Behavioral ReportDecoding
Neural Responses
Neuron 1Neuron 2Neuron 3
Encoding
...
...
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Prelude: understanding and emulating the brain
Image
“Airplane”
Behavioral ReportDecoding
Neural Responses
Neuron 1Neuron 2Neuron 3
Encoding
Yamins*, Hong*, Cadieu, et al.,Adv Neural Inf Process Syst, 2013
Cadieu, Hong, et al.,PLOS Comput Biol, 2014
Hong*, Yamins*, et al.,Nature Neurosci, 2016
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● 600,000 deaths in the U.S.
● 17.9 million deaths globally.
● Many conditions are treatable or preventable: early and accurate detection and diagnosis are key.
● Medical imaging is the gateway to detection and diagnosis.
● Ultrasound is effective with many advantages.
Too many people are dying from heart disease
Caption Health™ 2020
● Images most organs
● Low risk
● Images in real-time
● Small and low cost devices“The stethoscope of the future”
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Heart disease can be accurately diagnosed with echocardiography.However, often this happens too late.
Cardiac ultrasound today
Heart Disease Symptoms Physical
ExamImage Acquisition Diagnosis Treatment
Caption Health™ 2020
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The problem: Ultrasound is hard to use
UNINTUITIVE IMAGES
UNNATURAL HAND -EYE COORDINATION
EVERYBODY IS DIFFERENT
Caption Health™ 2020
With AI, is it possible to make anultrasound navigation system for everyone?
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We developed AI-based heart ultrasound guidance technology that can empower healthcare providers to acquire high quality ultrasound exams.
Caption Health™ 2020
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Emulating the intuition of imaging experts
The guidance technology predicts the deviation of the current transducer positioning from the ideal positioning in real time.
The software then provides the user instructions to efficiently minimizethe deviation.
Idealposition
IdealPositioning
CurrentPositioning
Caption Health™ 2020
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Emulating the intuition of imaging experts
The guidance technology emulates imaging experts:
1. It recognizes the current transducer positioning from input image.
Caption Health™ 2020
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Emulating the intuition of imaging experts
The guidance technology emulates imaging experts:
1. It recognizes the current transducer positioning from input image.
2. It predicts the target ideal positioning and provides the user the instruction to reach the ideal.
Caption Health™ 2020
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Emulating the intuition of imaging experts
The guidance technology emulates imaging experts:
1. It recognizes the current transducer positioning from input image.
2. It predicts the target ideal positioning and provides the user the instruction to reach the ideal.
3. It recognizes when the user reaches the target, getting diagnostic image.
Caption Health™ 2020
The AI guidance software was accepted into FDA’s Breakthrough Devices Program in 2018
● Provides more effective diagnosis ofa life-threatening or irreversibly debilitating disease or condition
● No approved or cleared alternatives
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Initial verification andpilot study
Caption Health™ 2020
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Verification of the guidance technology
Caption Health™ 2020
Performance assessment with a panel of 5 human experts● 2 level III cardiologists● 3 imaging experts
Is the quality of the clip suitable for
diagnostic purposes?
...
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Verification of the guidance technology
The performance of the guidance technology in recognizing diagnostic quality images was evaluated by a panel of five experts.
Perf
orm
ance
(Are
a un
der t
he R
OC
cur
ve)
1.0
0.8
0.6
0.4
0.2
0.0
AP2
AP3
AP4
AP5
IVC
PLAX
PSAX
-AV
PSAX
-MV
PSAX
-PM
SubC
4
MedianAI guidance
95% CI
Caption Health™ 2020
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Verification of the guidance technology
The performance of the guidance technology in recognizing diagnostic quality images was evaluated by a panel of five experts.
Perf
orm
ance
(Are
a un
der t
he R
OC
cur
ve)
1.0
0.8
0.6
0.4
0.2
0.0
AP2
AP3
AP4
AP5
IVC
PLAX
PSAX
-AV
PSAX
-MV
PSAX
-PM
SubC
4
MedianAI guidance
95% CI
Human expert
Caption Health™ 2020
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Testing with pilot study
Subjects● Range of BMI:
○ Obese: 30+ BMI○ Overweight: 25-30 BMI○ Normal: 18.5-25 BMI
● Presence of Pathology:○ Aortic valve replacement○ Mitral valve repair○ Atrial enlargement○ Dilated cardiomyopathy○ Conduction disease w/
pacemaker● Older Population, Gender
Balanced: ○ Median Age: 50○ Male 56%, Female 44%
Caption Health™ 2020
Imaging experts● More than 5 years of
professional experience● Acquiring exams of 10
views without the AI-guidance
Registered Nurses ● 2-day training:
○ 1 hour didactic○ 4 hours of practice
● Independently acquiring exams of 10 views with the AI-guidance
Performance assessment with a panel of Level III cardiologists● Randy Martin, CMO,
Caption Health● Neil Weissman,
MedStar Health● Jim Thomas,
Northwestern University● Alan Pearlman,
University of Washington● Akhil Narang,
Northwestern University
Can the exam be used to qualitatively assess the following clinical parameters?
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Testing with pilot study
Clinical Parameter
LV Size
LV Function
RV Size
Pericardial Effusion
% Diagnostic RN exams
98%
98%
92%
98%
Caption Health™ 2020
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Testing with pilot study
Clinical Parameter
LV Size
LV Function
RV Size
Pericardial Effusion
% Diagnostic RN exams
98%
98%
92%
98%
Caption Health™ 2020
Narang, Hong, et. al.,Am Soc Echocardiogr, 2019 Pearlman, Narang, Hong, et. al.,
Eur Heart J, 2020
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Validation withlarge-scale, prospective clinical trial
Caption Health™ 2020
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Validation with prospective clinical trial
Clinical Parameter
LV Size
LV Function
RV Size
Pericardial Effusion
Performance Target
8 0 %
8 0 %
8 0 %
8 0 %
RN Achieved Performance (95% CI)
98.8% [97.6%, 10 0 %]
98.8% [97.6%, 10 0 %]
92.5% [8 8 .1%, 96.9%]
98.8% [97.7%, 10 0 %]
Two-center clinical study
● 240 hospital patients
● 8 nurses
● Each nurse received minimal training, then independently scanned 30 patients with the AI-guidance
● Stratification on ranges of BMI
● Stratification on presence of cardiac pathology
Caption Health™ 2020
Caption Guidance granted De Novo earlier this month
● Regulatory pathway for novel low-to-moderate risk devices
● First AI-guided image acquisition software cleared/approved
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The AI -g u id ed im a g e a c q u is ition tec h n olog y em u la tes th e sk ills of exp erts to em p ow er fron t lin e h ea lth c a re p rovid ers .
Th e tec h n olog y d em on stra ted sa fety a n d effec tiven ess w ith exten sive tests .
W e h op e to see su b sta n tia l in c rea se in a c c ess to ec h o in c lin ic a l settin g s w h ere it u sed to b e im p ra c tic a l or im p ossib le .
Caption Health™ 2020
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