Diagnostic Decision Support And AI Art Papier MD CEO VisualDx Associate Professor of Dermatology University of Rochester LEARNING OBJECTIVES Define diagnostic decision support Describe the interplay of decision support and machine learning of skin lesions and rashes ID: 914796
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Slide1
Autonomous Medicine
| 8:30-9:30
Diagnostic Decision Support
And AI
Art Papier MD
CEO VisualDx
Associate Professor of Dermatology
University of Rochester
Slide2LEARNING
OBJECTIVES
Define diagnostic decision support
Describe the interplay of decision support and machine learning of skin lesions and rashes
Slide3What Large Problem Are We Trying To Solve?
Slide4Slide5Slide6Rule Based Systems
Machine
Learning
Decision Support:
+
>
Artificial
Intelligence
Slide7Medical Cockpit
for Professionals and Patients
Slide8Medical Cockpit Design:
Medical
images
of all forms and variations
C
omprehensive medical knowledge database
V
isual search process and interface
Merge terminology, images, database, machine learning
and
interface
+
>
Slide9Reduce Cognitive Burden:
Visualization of Complexity
Transforming the “diagnostic list”
by allowing for comparison of disease features
9
Searchable by condition, medication or unique patient factors delivering point-of-care differential diagnosis, testing and therapy.
2
matching findings: Arthralgia (Joint Pain, Articular Pain), Fever (Febrile)
Medicon
Slide10Supports the recognition of the
variation of disease presentation
Example: Phases of Lyme Disease
Findings entered: facial palsy, arthralgia
Differential shown
in Sympticons
Differential shown
in photo view
Findings entered: blanching patch, targetoid
Slide11VisualDx
Multiple
Workflows
Uses SMART on FHIR
Native iOS and Android apps
Interoperable in:
EHR
UpToDate
Telemedicine
VisualDx is in Cerner
VisualDx iOS and Android Apps
VisualDx within UpToDate
VisualDx on modern browsers
Slide12Machine Learning
and
decision
support
Slide13Images and case data are submitted by experts from around the world. Diseases of regional and geographic importance are captured, uploaded and
labeled
I
nternational network of
dedicated contributors
has participated in building good data
.
Slide14The Basis For Machine Learning and AI: Good Data
Machine Learning
The goal of our research is to merge image recognition with knowledge databases to improve
diagnosis.
Human Phenome
From genome to transcriptome to proteome to microbiome, the importance of these efforts ultimately hinges on connecting the genetic and molecular data to the clinical manifestations of disease.
Slide15Machine
Learning:
Training
on Skin Examination Description
Slide16Recent Case Study
Presents to ED on April 10, 2018
Female, 66 years old
Two-week history of enlarging lesion on finger. Patient removed lesion herself. Lesion recurred larger.
Brian Browne, MD
Slide17Machine Learning
Process
Snap a picture.
Confirm lesion type.
Add other symptoms.
Review diagnostic
possibilities.
Slide18Apple’s
Core ML:
Speed and on Device
Slide19VisualDx is Widely Used
Point of Care Tool
2,695,470
Clinical Inquiries
59
MILLION+
Images viewed
in 2017
Slide20What about AI for
Non-Physicians
?
Slide21Aysa
gives people personalized guidance about what to do for a set of 200 common skin conditions.
Aysa
is focused on skin conditions because this is an area of real need and a place where
we
have the expertise to help.
Aysa
Take a photo.
Answer questions.
Review information.
See results.
Slide22Slide23Art Papier MD
apapier@visualdx.com
QUESTIONS?
THANK YOU