AI-driven Approach to Etiology Classification
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About
The challenge was to accurately classify the origins of blood clots in ischemic stroke using histopathological images. The task involved differentiating between two major acute ischemic stroke etiology subtypes: cardiac and large artery atherosclerosis. Read more
CASE STUDY DETAILS
Mayo Clinic
Enterprise/Corporation
Rochester, United States
Project work
1 - 5 people
Less than 3 Months
€20 - 50K
Extreme Programming
FOCUS AREA
Challenge, approach, and impact
The challenge was to accurately classify the origins of blood clots in ischemic stroke using histopathological images. The task involved differentiating between two major acute ischemic stroke etiology subtypes: cardiac and large artery atherosclerosis. The goal was to provide physicians with a reliable tool to assist in stroke etiology classification and prescribe appropriate treatments.
Testimonials
“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more
Anonymous
Project Science Lead at Mayo Clinic
VERIFIED
“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more
Anonymous
Project Science Lead at Mayo Clinic
VERIFIED
“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more
Anonymous
Project Science Lead at Mayo Clinic
VERIFIED
“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more
Anonymous
Project Science Lead at Mayo Clinic
VERIFIED
“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more
Anonymous
Project Science Lead at Mayo Clinic
VERIFIED
“A very innovative approach to tackle the problem which resulted as one of the top solutions we took into account with further studies on the Etiology Classification aspects. The team was very proactive and communication was spot on.“ Read more
Anonymous
Project Science Lead at Mayo Clinic
VERIFIED
Team Structure
Client Team
Project stakeholder
Technical Project Lead
***** *****
The client stakeholders at Mayo Clinic were working closely with the team at DAC.digital
Agency Team
Production
4 x ML Expert
Governance
1 x Project Manager
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