Episode 53: Digital twins, imaging, and AI-driven treatment paths episode artwork

EPISODE · May 27, 2026 · 37 MIN

Episode 53: Digital twins, imaging, and AI-driven treatment paths

from TeqTalk with Jas · host Jas Kaur

AI in healthcare is advancing fast but in oncology, even a small mistake can have life-threatening consequences. We explore how enterprise AI, digital twins, and clinical data are transforming oncology care, while raising critical questions about AI governance, trust, and adoption.   You can also apply to be the guest on TeqTalk: https://www.teqfocus.com/teqtalks/   You can connect with:  Jas Kaur, CTO, Teqfocus: https://www.linkedin.com/in/jas-kaur-5396b237/  Caroline Chung, Vice President and Chief Data & Analytics Officer, MD Anderson Cancer Center: ⁠http://www.linkedin.com/in/chung-caroline⁠  -----------   AI in healthcare is evolving rapidly but in oncology, the cost of a mistake is life itself. In this episode, we dive deep into how AI in healthcare, enterprise AI strategy, and digital transformation reshaping oncology treatment and clinical trials are.   From AI governance and lifecycle management to digital twin technology and context engineering, this conversation explores the real challenges behind AI adoption in healthcare. Timestamps: 00:00 – AI in Healthcare: Why Mistakes Matter More in Oncology 02:30 – From 200 Clinical Trials to One System in 6 Days 06:00 – The Real Problem: Healthcare Data is Not Standardized 09:00 – AI vs Human Judgment in Cancer Treatment 12:00 – AI Use Cases Beyond Diagnosis (Scheduling, Efficiency) 15:00 – AI Lifecycle Management & Model Monitoring 18:00 – Context Engineering & Metadata Supply Chain 22:00 – Digital Twins in Healthcare & Clinical Trials 26:00 – Precision Imaging & Future of Oncology AI 30:00 – Automation Bias & Risks of AI Dependency 34:00 – AI Governance, Trust & Compliance 36:30 – Can AI Replace Human Decisions in Cancer Care?  If you're a CIO, CDO, healthcare leader, or working on enterprise AI, this episode uncovers the hidden realities of AI in oncology and what it truly takes to make AI work in high-stakes environments.  -----------   About podcast:  TeqTalk is a leading technology podcast hosted by Jas Kaur, focused on the future of AI, data, and digital innovation, especially in healthcare, pharma, and tech space. Each episode features exclusive conversations with CXOs, CIOs, data architects, and industry experts from across the US and Canada.   From AI-powered transformation and natural language data access to real-time insights and data integration, TeqTalk explores how modern businesses can bridge the gap between technology and strategy. Whether you're a tech leader, marketer, or innovation enthusiast, TeqTalk delivers practical knowledge, thought leadership, and cutting-edge trends shaping the future of enterprise solutions.   Subscribe to stay ahead in the world of artificial intelligence, cloud data platforms, healthcare tech, and business innovation.   #ai #genai #teqtalk #agenticai #datacloud #CIO #technicaldept #healthcare #homehealth #pharma 

Episode metadata supplied by the publisher feed · Published May 27, 2026

Embed this episode

NOW PLAYING

Episode 53: Digital twins, imaging, and AI-driven treatment paths

0:00 37:57

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of TeqTalk with Jas?

This episode is 37 minutes long.

When was this TeqTalk with Jas episode published?

This episode was published on May 27, 2026.

Can I download this TeqTalk with Jas episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!