DR. SYEDRIZVI
The Physician Who Codes
Board-certified anesthesiologist developing AI-powered clinical decision support systems. Bridging medicine and technology to improve patient outcomes.
About Dr. Rizvi
Where clinical expertise meets cutting-edge technology
The Physician Who Codes
I am a board-certified anesthesiologist and healthcare technology innovator combining deep clinical expertise with advanced technical skills. Currently building AI-driven solutions for perioperative care while maintaining active clinical practice.
As Partner and Fellowship Program Director at Charter Anesthesiology, I direct the next generation of regional anesthesia specialists while developing patent-pending AI systems that address real clinical challenges.
My unique blend of medical knowledge, software development capabilities, and business acumen from Harvard Business School and Oxford Saïd positions me to bridge the gap between what clinicians need and what technology can deliver.
Key Achievements
Founded PeriopAI
Patent-pending AI clinical decision support platform
Created CoagRX
Evidence-based anticoagulation management platform
Fellowship Program Director
Leading fellowship in Regional Anesthesiology
Harvard Business School
Credential of Readiness (CORe) Program
Education & Training
A comprehensive foundation in medicine, technology, and business
Fellowship
Regional Anesthesiology & Acute Pain Medicine
Charter Anesthesiology LLC / Bristol Health
Residency
Anesthesiology
University of Connecticut School of Medicine
Recipient of Ralph Moore Tovell MD Academic Excellence Award
Residency
General Surgery
Waterbury Hospital (Yale Affiliated)
Doctor of Medicine
M.D.
Oakland University William Beaumont School of Medicine
Inaugural Recipient of Capstone Competitive Scholarship
Bachelor of Science
Physiology & Neurobiology
University of Connecticut
Minor in Neuroscience, Graduated Cum Laude
Professional Certifications
Harvard Business School - Credential of Readiness (CORe)
Business Analytics, Economics for Managers, Financial Accounting
2025
Machine Learning Specialization
DeepLearning.ai
2025
Oxford Fintech Programme
Saïd Business School, University of Oxford
2021
Board Certified in Anesthesiology
American Board of Anesthesiology
Active
Physician Leadership Academy
Connecticut State Medical Society
Completed
Work & Innovation
Building technology that bridges the gap between clinical needs and digital solutions
PeriopAI
AI-Powered Clinical Decision Support
Patent-pending artificial intelligence platform for perioperative risk assessment and optimization. Addresses the $100B+ annual cost of perioperative complications through evidence-based recommendations.
Key Features:
- Real-time risk stratification algorithms
- RAG architecture with LLM integration
- Evidence-based clinical recommendations
- HIPAA-compliant infrastructure
Protecting Patients Through AI
CoagRX
Evidence-Based Anticoagulation Management
Live web application providing anticoagulation management recommendations for regional anesthesia and pain procedures. Built to reduce complications and standardize clinical decision-making.
Key Features:
- Evidence-based clinical algorithms
- Mobile-responsive design
- Real-time recommendations
- Peer-reviewed guidelines integration
Evidence-Based Care
periop-calculators
Open Source Medical Tools
Published npm package providing standardized clinical risk assessment tools including STOP-BANG sleep apnea screening and RCRI cardiac risk stratification.
Key Features:
- 100% test coverage
- TypeScript support
- Comprehensive documentation
- Active maintenance
Open Source Excellence
Technology Stack
Research & Publications
Contributing to medical knowledge through research and innovation
PeriopAI Clinical Decision Support System
Provisional Patent Application • 2025
AI-powered algorithms for perioperative risk stratification and clinical optimization
Publications
Cardiac Arrest During Emergency Intubation Outside the Operating Room: Incidence, Risk Factors, and Trends
Mort TC, Rizvi S
Anesthesiology News: Airway Management Annual Compendium • 2018
Clinical ResearchNT-Pro-BNP as an Adjunct Diagnostic Serological Marker for Transfusion-Associated Circulatory Overload
Rizvi S, et al
Connecticut Medicine • 2018
Original ResearchTraumatic Shoulder Instability Involving Anterior, Inferior, and Posterior Labral Injury
Mazzocca AD, et al
American Journal of Sports Medicine • 2011
Clinical StudyConference Presentations
Utilization of Peripheral Nerve Blocks and TIVA for Stiff Person Syndrome
American Society of Regional Anesthesia and Pain Medicine (ASRA)
2018
Oral PresentationNT-pro-BNP as Diagnostic Marker for TACO
American Society of Anesthesiologists (ASA)
2017
Research PosterNon-opioid Based Anesthesia Techniques
Connecticut State Medical Society
2018
Educational Presentation15+ presentations at national and local conferences
Speaking & Thought Leadership
Sharing insights at the intersection of medicine and technology
Speaking Topics
AI in Perioperative Medicine
Exploring how artificial intelligence can improve surgical outcomes and reduce complications
The Physician-Technologist
Why healthcare needs clinicians who can code and build solutions
Digital Health Innovation
Practical strategies for implementing technology in clinical settings
Evidence-Based AI
Ensuring AI solutions in healthcare are safe, effective, and clinically validated
Recent Engagements
American Society of Anesthesiologists Annual Meeting
Non-opioid Anesthesia Techniques
Connecticut State Medical Society
TEE for Aortic Valve Anatomy
ASRA Annual Meeting
Peripheral Nerve Blocks for Complex Cases
Invite Dr. Rizvi to Speak
Available for keynotes, panel discussions, and workshops on healthcare innovation, AI in medicine, and the future of clinical practice.
Book a Speaking EngagementLet's Connect
Whether you're interested in collaboration, advisory opportunities, or speaking engagements, I'd love to hear from you.
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Direct Contact
Availability
Available for advisory roles, board positions, speaking engagements, and strategic consulting in healthcare AI and digital medicine.