December 3, 2025 | 9AM - 2PM EST
Global HealthTech Summit 2025
Virtual Summit 2025 Navigating the AI Revolution in Healthcare
Register today and get access to:
High-Value Insights
Discover the latest breakthroughs in AI, digital transformation, and healthcare innovation from leading global experts.
Interactive Live Sessions
Engage with speakers in real time, ask your questions, and participate in discussions shaping the future of healthcare.
Summit Recordings
Get on-demand access to all speaker sessions and panel discussions—even if you can’t attend live.
Expert Q&A
Connect directly with top executives, founders, and healthcare innovators to get your questions answered.
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Our speakers:
8 Top Experts will Give a Talk

Dr. Ingrid Vasiliu-Feltes
Chief Executive Officer at Softhread, Founder CEO at Institute for Science







Our host

Murat Ozturan
Lead PM in CSA CTO Team, ex-CTO of APJ Services at Microsoft
After the sign-up process is completed, you’ll receive an Extra Bonus from Glorium Technologies: a free e-book.
Register now
Who should attend
Healthcare Tech Startup CEO and Founders
Healthcare SaaS Product CIO
Healthcare Digital Product CTO
Our previous summits:
- 4000+Attendees:
- 1000+Companies:
- 100+Speakers:
- 90%Senior Management:

Our participans
Schedule
December 3
introduction Introductory Speech

Murat Ozturan
Lead PM in CSA CTO Team, ex-CTO of APJ Services at Microsoft
talk Quantum–AI Convergence: Orchestrating the Future of Precision Health
- Explore how Quantum-AI orchestration revolutionizes the precision health continuum
- Uncover how Quantum-AI orchestration can augment operational efficiency and secure ROI in precision health.
- Examine how Quantum-AI orchestration can fortify cyber-ethics programs and enhance trust in precision health
- Learn how Quantum-AI orchestration enhances risk management and governance of precision health

Dr. Ingrid Vasiliu-Feltes
CEO at Softhread, Founder CEO at Institute for Science
talk The Evolution of Health IT: Transforming healthcare through digitization, data management, and artificial intelligence
- Early Days of Health Information Technology
- The Digital Health Revolution
- Emergence of Artificial Intelligence in Healthcare
- Integration of AI with Health Information Systems
- Future of Health Information Technology and AI

N. Blair Butterfield
Chairman at Wind River Advisory Group LLC
talk AI-Powered Predictive Care: From Reactive Treatment to Proactive Health Management
- The Predictive Care Paradigm Shift: How healthcare organizations are redesigning patient care from episodic treatment to continuous health optimization through AI-driven risk prediction and early intervention protocols.
- Clinical Workflow Transformation: Real-world case studies demonstrating the shift from appointment-based reactive care to continuous monitoring and proactive intervention before symptoms appear.
- AI-Powered Risk Stratification: Implementing patient monitoring systems that identify health deterioration patterns weeks before clinical manifestation, enabling preventive interventions that reduce emergency episodes.
- The Economics of Prevention: Quantifying how shifting resources from acute treatment to preventive interventions delivers substantial cost savings while improving patient Outcomes.
- Building Predictive Care Operations: Practical strategies for implementing and scaling predictive care programs, including technology integration, care coordination, and measuring prevention-focused healthcare success.

Dr. Amit Sawant
Founder & Managing Director at Sawant Group LLC
talk 3 Million Frontline AI Employees in Healthcare on Planet Earth
- Which healthcare facilities are ready for AI Employees (hospitals, urgent care, outpatient & rehab, wellness & screening, dental & oral surgery).
- Which non-clinical frontline roles can be filled by AI (front desk, patient service, schedulers, billing & coding, call-center).
- The three biggest mistakes healthcare leaders make when hiring AI Employees.
- Whether AI only cuts costs or also drives new revenue—with examples of a ~$500K annual impact per AI Employee.

David Yang
Ph.D., Co-founder, Newo.ai
break Coffee break
talk Teaching Machines the Language of Biology: Why Genomic AI is Healthcare's Biggest Opportunity
- Identifying cancer in asymptomatic populations requires genome-wide AI analysis, rather than relying on single-target biomarkers. Traditional approaches miss critical signals. Only machine learning analyzing the entire genome can reliably find early cancer at the scale healthcare needs.
- Healthcare AI adoption is at an inflection point > this is the right moment. Health systems are deploying production AI (not pilots), procurement cycles have compressed from 12-18 months to 6 months, and healthcare is investing $1.4B annually in AI solutions.
- DELFI’s approach is fundamentally different: affordable, scalable, and built for longitudinal risk prediction. Our algorithm works with standard lab equipment (not exotic infrastructure), and genomics costs have plummeted. We’re building the foundation for years of personalized risk data—not just point-in-time screening. Responsible AI at scale requires validation, privacy, actionability, and equity.
- We’re committed to clinical rigor, regulatory excellence, clinician trust, and ensuring this technology works for all populations—not just privileged ones. This is how AI actually democratizes healthcare.
- 80% of the healthcare AI market remains untapped, and DELFI’s platform strategy positions us for expansion. From lung cancer screening today to liver, MCED, and therapeutic monitoring tomorrow—each indication compounds our data and infrastructure advantage. The category leader in healthcare AI diagnostics is being defined now.

Susan Tousi
CEO of DELFI Diagnostics
talk Reprogramming Leadership: Building the Human Operating System for an AI- Driven Healthcare Future
- AI Redefines Leadership: Healthcare leaders must evolve decision-making and team design to match AI’s speed and precision.
- The Human Operating System: Redesign organizational culture and communication patterns for agility and cross-disciplinary collaboration.
- From Hierarchies to Networks: Shift from managing silos to orchestrating connected teams of people and intelligent systems.
- Data Meets Emotional Intelligence: Combine data fluency with empathy to turn analytics into trust, insight, and aligned action.
- Building the AI-Ready C-Suite: Create governance models blending ethics, empathy, and efficiency to drive responsible healthcare innovation.

Lepora Flournoy
Ph.D., CEO & Founder at Nextgen People
talk Rural Doesn’t Mean Behind: Transforming Patient Care through AI, Cybersecurity, and Compassionate Innovation
- Delivering Next-Gen AI in Rural Healthcare: How a Critical Access Hospital harnessed artificial intelligence to improve diagnostic accuracy for stroke, trauma, and pulmonary embolism by more than 20%.
- Cyber Resilience Without Big Budgets: Building a high-performance security ecosystem that achieved zero ransomware incidents and full compliance with national privacy and cybersecurity standards.
- The Power of Culture and Leadership: Why true innovation begins with a culture of trust, urgency, and accountability—and how small rural teams can outperform large health systems through purpose-driven leadership.
- Strategic Transformation that Scales: Leveraging collaborative partnerships to modernize diagnostics, advance digital health infrastructure, and elevate patient outcomes across southern Colorado.
- Equity Through Technology: How Mt. San Rafael Hospital rose to become one of the nation’s Top 20 Critical Access Hospitals by aligning innovation with empathy, inclusion, and operational excellence.

Michael Archuleta
Chief Information Officer of Mt. San Rafael Hospital
talk Amplifying Scientific Impact with AI: Accelerating Discovery to Real-World Impact
- AI across the scientific lifecycle: How AI supports faster discovery, more consistent validation, clearer translation, accelerated dissemination, and expanded real-world impact.
- Strengthening credibility and integrity: The role of AI in enhancing transparency, reproducibility, and scientific rigor.
- Bridging science and society: How AI makes credible research easier to find, easier to trust, and easier to use — improving decisions, products, and public health outcomes.
- Empowering people and organizations: Practical examples of how AI is helping researchers, publishers, and innovators focus on high-value work while amplifying human judgment and creativity.
- The human outcome: Why responsible, human-guided AI is essential to ensuring that quality science moves faster from insight to real-world benefit.

Sunnie Southern
Founder and CEO at Viable Synergy
8 Top Experts will Give a Talk
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