Natalia Sokolova
International Healthcare Expert MedAI.li
Master's Level
(EQF/ISCEDLevel 7)
🏆 International
TITAN Business Awards 2026
MedAI.li:Independent Expertise for Complex Clinical Cases
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Machine Learning Algorithms (ML)
Longitudinal Intelligence
Objective Data-Driven Second Opinion
Supporting
Attending Physicians
Apple, Microsoft, Google, Amazon, Meta, IBM,
AMDOracle, Salesforce, Okta,
Snap Inc., LinkedIn
JPMorgan Chase,
Bank of America, Visa,
Capital One, Wells Fargo, Deutsche Bank, Stripe
Deloitte, Accenture, Capgemini,
Tata Consultancy Services
Walmart, eBay,
Lowe's, Intuit, Yelp
McKesson
pharmaceutical distribution and
healthcare IT (Fortune 9)
Cigna
global health insurance and
clinical data analytics
Elevance Health
healthcare data analytics and insurance
Molina Healthcare
clinical AI/ML projects
Intuitive
robotic-assisted surgery and
AI systems
(creators of Da Vinci)
Smith & Nephew
medical devices and surgical robotics
Blink Health
digital pharmacy and
pharmaceutical data platforms
HighLife Medical
transcatheter therapy devices
IMPRIVATA
healthcare IT infrastructure and cybersecurity
Infoserv LLC
healthcare IT consulting and
medical data systems (EPIC)
Navitha Health
digital health and
clinical operations consulting
🟢 Online 24/7
LiA (Longitudinal Intelligence Agent)
Senior Customer Service Director at MedAI.li
A high-tech AI executive assistant designed to provide 24/7 global support. LiA is fluent in over 140 languages, providing immediate assistance and expert answers regarding MedAI.li operations, analytical frameworks, and services to our international clients at any time
LiA speaks your native language
A · È · Ñ · Ç · א · 語 · 한 · Ω · Д · ẞ · શ · 泰 ·
+130 more
LiA is taking a break, but the MedAI.li team continues to operate at full capacity
We are currently undergoing a major infrastructure upgrade, deploying our own high-performance, server-grade computing node.
This technological update will enable us to run more sophisticated and accurate medical models that require massive memory capacity for deep data analysis.
We remain fully engaged and are continuing to develop the project at a new level of computational power
✔️ Deep focus on complex cases:
when data analysis requires
additional time
and computational power.
✔️ Advanced pattern detection:
hidden correlations, contradictions
and gaps across scans
and lab results.
✔️ Aligned with international
medical frameworks —
to ensure findings are structured
for clinical review.
✔️ Actionable reporting: structured, chronological summary ready
for your specialist to discuss.
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