On-Demand Webinar

Ready to scale Healthcare AI?
Here is how Trusted, Workflow-Native Intelligence is Changing the Game

In association with Microsoft

AI in healthcare is moving beyond pilots and point solutions. In this insightful conversation, Microsoft and CitiusTech leaders explore what it really takes to scale AI across healthcare and medtech organizations – securely, responsibly, and with measurable impact. Drawing on real-world experiences from clinical workflows, medical imaging, and enterprise transformation initiatives, the discussion highlights how leading organizations are making AI trustworthy, workflow-native, and outcome-driven.

Why Watch: Real-World Lessons in Operationalizing AI across the Care Continuum?

Discover how leading MedTech organizations are moving beyond AI experimentation to achieve scalable, trusted, and measurable transformation across healthcare operations and clinical workflows.

Explore why workflow-native AI is emerging as the foundation for healthcare transformation.
Learn how medical imaging is setting the benchmark for scaling AI across healthcare.
Understand the operating models, governance frameworks, and cultural shifts required to drive AI at enterprise scale.
Gain insights into building trusted AI through security, transparency, explainability, and responsible governance.
Prepare for the agentic AI era, where humans and intelligent agents collaborate to accelerate decision-making and innovation.

Vikram Chhabra

Vice President, Medical Imaging and AI Solutions, Microsoft

Over 24 years of experience at the intersection of technology and healthcare, driving advancements that reshape diagnostic imaging and clinical workflows.

Proven ability to define and execute forward-looking strategies that integrate artificial intelligence into imaging to enable smarter, more connected care delivery.

Focused on elevating clinical outcomes by enhancing diagnostic accuracy, streamlining workflows, and reducing the burden on care teams.

Recognized for working closely with industry leaders and partners to translate AI innovation into scalable, real-world impact across healthcare ecosystems.

Shujah Dasgupta

Vice President, Medical Technology, CitiusTech

Seasoned Health IT leader with 20+ years of experience designing and delivering digital solutions that address real-world clinical needs.

Proven track record of leading strategic initiatives across the medical technology landscape, driving next-generation, innovation-led healthcare solutions.

Deep expertise in aligning clinical insight with advanced technology to build impactful and scalable healthcare products.

Instrumental in shaping global healthcare standards, contributing to key organizations such as HL7, DICOM, and IHE.

Frequently Asked Questions

Why has medical imaging emerged as a leader in healthcare AI adoption?

Medical imaging has been one of the earliest and most successful adopters of AI, demonstrating how AI can improve reporting, triage, worklist prioritization, and clinician productivity when integrated directly into radiology workflows. Consult our experts to explore real-world AI transformation journeys and learn how MedTech organizations are scaling trusted, workflow-native AI across clinical and operational environments.

Why is workflow-native AI critical for healthcare transformation?

AI delivers the greatest impact when it is seamlessly embedded into clinical and operational workflows, enabling organizations to improve efficiency, enhance user adoption, and achieve measurable outcomes at scale, rather than creating isolated gains through standalone tools.

What are the foundational capabilities required to operationalize AI at scale in medical imaging?

Successfully scaling AI in medical imaging requires a strong foundation of interoperable data, cloud-native infrastructure, workflow integration, governance, and continuous monitoring. Consult our experts to explore how to effectively implement and optimize AI solutions. Organizations must ensure AI is embedded directly into radiology workflows, seamlessly connecting with PACS, RIS, EHR, and reporting systems to drive adoption and measurable outcomes.

How do we maintain HIPAA-compliant data silos while training and deploying agentic AI across multi-cloud or hybrid environments?

Adopt a platform-first approach that separates governance, security, and trust frameworks from individual AI models, enabling healthcare and MedTech organizations to securely scale AI across multi-cloud and hybrid environments. Watch the webinar to discover how Microsoft and CitiusTech experts are helping organizations build trusted, compliant, and enterprise-ready AI ecosystems that balance innovation with security, governance, and regulatory requirements.

How can medical device companies balance innovation speed with regulatory compliance when deploying AI-enabled products?

Medical device companies can accelerate AI innovation while maintaining compliance by adopting a platform-based approach that embeds governance, quality, and regulatory controls throughout the AI lifecycle, rather than treating compliance as a final checkpoint. Successful organizations should design AI solutions with regulatory requirements in mind from the start, ensuring transparency, traceability, and risk management at every stage.

What should healthcare leaders do now to prepare for the next wave of AI?

Leaders should begin with high-impact, measurable workflows where AI can deliver clear value. Success depends on establishing strong governance and trust frameworks, empowering clinician champions, investing in scalable data platforms, and adopting an experimentation mindset that enables innovation while building a foundation for enterprise-wide AI adoption.

How can imaging organizations use AI insights to strengthen relationships with referring physicians and health systems?

AI provides physicians with real-time clinical insights, imaging findings, risk predictions, and prioritized recommendations, helping them make faster, more informed decisions while improving diagnostic accuracy and patient outcomes. Watch our webinar, Healthcare AI at Scale: Building Trusted, Agentic & Workflow-Native Intelligence, to see how leading imaging organizations are leveraging AI-driven insights to enhance clinical decision-making and workflow efficiency.

How do we measure the impact and ROI of AI initiatives in Medical Technology?

Measuring AI success requires looking beyond implementation and focusing on outcomes. MedTech organizations should track key metrics such as adoption rates, workflow efficiency, productivity gains, clinical outcomes, decision accuracy, cost savings, and overall ROI of AI initiatives. Eager to unlock the full potential of AI? Consult our experts to discover how to precisely measure and maximize your AI impact – transform your outcomes, drive innovation, and stay ahead of the competition.

What role do AI agents play in improving workforce productivity and operational efficiency?

AI agents are transforming imaging operations by automating image analysis, prioritizing high-acuity cases, streamlining reporting workflows, and delivering real-time clinical insights. This enables radiologists and care teams to improve efficiency, accelerate diagnoses, and enhance patient outcomes. Eager to unlock the full potential of these transformative benefits? Consult our experts and discover how we help you harness AI to revolutionize your imaging operations and achieve extraordinary results!