List of Deep6 AI Customers
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Since 2010, our global team of researchers has been studying Deep6 AI customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Deep6 AI for Natural Language Processing from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Deep6 AI for Natural Language Processing include: Cedars-Sinai, a United States based Healthcare organisation with 15043 employees and revenues of $5.20 billion, Ochsner Clinic Foundation, a United States based Healthcare organisation with 34000 employees and revenues of $4.30 billion and many others.
Contact us if you need a completed and verified list of companies using Deep6 AI, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Deep6 AI customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cedars-Sinai | Healthcare | 15043 | $5.2B | United States | Deep6 AI | Deep6 AI | Natural Language Processing | 2017 | n/a |
In 2017, Cedars-Sinai implemented Deep6 AI to accelerate clinical trial recruitment and feasibility workflows within its clinical research organization in the United States. Cedars-Sinai was the first site to run Deep6 AI, deploying the application to support investigator teams engaged in trial recruitment and cohort identification.
The implementation centered on Deep6 AI precision patient-matching capabilities integrated into clinical research use cases, leveraging Natural Language Processing to surface eligible patients and speed cohort identification for feasibility studies. Functional workflows focused on precision patient-matching, cohort query and curation, and screening support for investigator-led studies, aligning application outputs with research operational processes.
Operational scope remained within clinical research and trial recruitment, with rollout targeted at investigator teams conducting feasibility assessments and enrollment activities. The deployment produced documented outcomes for example studies, producing dramatic increases in matched patients and speeding cohort identification, which contributed to improved accrual outcomes for investigator teams.
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Ochsner Clinic Foundation | Healthcare | 34000 | $4.3B | United States | Deep6 AI | Deep6 AI | Natural Language Processing | 2020 | n/a |
In 2020, Ochsner Clinic Foundation implemented Deep6 AI. The deployment used Natural Language Processing to support oncology clinical trial recruitment and feasibility in the United States, with focused use cases in lung and gynecologic oncology.
The implementation centered on an NLP-based cohort matching capability that mined unstructured EMR data including clinical notes and pathology reports, ingesting and normalizing clinical concepts to enable cohort queries and candidate ranking. Configuration emphasized entity extraction, phenotype definition, combined rule-based and machine-learned filtering, and automated candidate lists delivered to research teams for screening and feasibility assessment.
Deep6 AI was integrated with Ochsner clinical data stores to enable continuous indexing of free text records and to feed trial feasibility reporting and recruitment workflows within oncology research operations. Governance and operationalization involved embedding matching outputs into research workflows with clinical teams validating and refining cohort criteria. Ochsner reported large improvements in precision and reduced false positives across lung and gynecologic oncology use cases.
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Buyer Intent: Companies Evaluating Deep6 AI
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