This Week on The Big Unlock Podcast: Advancing Pediatric Care with AI in Radiology and Virtual Trials
Brought to you by Damo Consulting and BigRio
Podcast Hosts: Rohit M. Ritu M Uberoy
In this episode, Paul Yi , Associate Member, Department of Radiology, Section Chief of Intelligent Imaging Informatics (I3) at St. Jude Children's Research Hospital , shares his journey from radiology training at Johns Hopkins to leading AI initiatives at St. Jude, focusing on pediatric cancer and other catastrophic diseases.
Dr. Yi highlights how AI is transforming the radiology workflow, from automating imaging protocols and improving image reconstruction to translating complex medical reports into patient-friendly language. He emphasizes the importance of data strategy, discussing the integration of clinical EMRs, PACS, and research databases, ensuring interoperability while leveraging domain expertise across disciplines. He explores generative AI applications, including virtual imaging trials that simulate patient populations for safer, faster, and cost-effective clinical research, as well as patient-facing applications like AI chatbots for healthcare education, noting both potential and limitations in trust and accuracy.
Dr. Yi reflects on bridging research and commercialization, underscoring the need to align academic and industry incentives. He envisions a future powered by multimodal AI models that combine imaging, vitals, labs, and clinical text to deliver comprehensive, personalized insights – accelerating precision care and innovation in pediatric oncology. Take a listen.
#TheBigUnlock #Podcast #GenerativeAI #HealthcareInnovation #PediatricCare #DigitalHealth #AIinRadiology #HealthTech
In this episode, Andreas Michaelides, PhD , Clinical Psychologist helping shape Clinical AI with Google and Former Chief of Psychology at Noom , discusses the evolving intersection of technology and psychology, emphasizing how digital platforms and behavioral science can drive meaningful health outcomes at scale.
Drawing from his extensive experience at Noom and current role at Google, he highlights the value of integrating personalized care, education, and accountability through innovative technologies such as AI and wearables. Dr. Michaelides explores the ethical complexities and societal impact of AI-driven health solutions, underscoring the necessity for thoughtful governance and responsible implementation. He notes the transformative potential of predictive analytics and adaptive digital tools in enabling better assessments, interventions, and relationships between humans and technology.
Dr. Michaelides encourages practitioners to embrace uncertainty, unlearn traditional paradigms, and innovate by merging expertise with curiosity. While acknowledging fears around the rapid pace of tech advancement, he conveys an optimistic outlook on the future of digital health and behavioral change. Take a listen.
#AI #DigitalHealth #BehavioralHealth #HealthcareInnovation #DigitalTransformation
In this episode, Jan Beger , Global Head of AI Advocacy at GE HealthCare , shares his mission to bridge the gap between the conceptual promise and real-world impact of AI in healthcare. He stresses on the critical need to build AI literacy and trust among clinicians, executives, and students, and explains why a human-centric approach and strong change management are critical for successful adoption.
Jan highlights GE’s global AI literacy programs that train employees and clinicians on responsible use, practical applications, and critical evaluation of AI. He highlights how moving beyond pilots to strategic, systemwide deployment requires continuous education, executive engagement, and a focus on change management. He also spoke about GE’s successes such as improved efficiency in software development and innovations like AI-guided handheld ultrasound devices that democratize imaging by supporting users of varied expertise, as well as the challenges of keeping AI tools robust and up-to-date.
Jan addresses the future of the workforce, noting that adaptability and tech fluency will be essential as 70% of job skills evolve by 2030. He encourages healthcare leaders to see AI not just as technology, but as a transformative tool to enhance care and outcomes. Take a listen.
#AI #Healthcare #DigitalTransformation #AILiteracy #HealthTech
In this episode, Thomas Fuchs , Chief AI Officer at Eli Lilly and Company , shares his journey from early machine learning research to spearheading transformative AI initiatives across the pharmaceutical value chain. Lilly is running over a thousand AI projects—from drug discovery and development to manufacturing and commercial operations—leveraging innovations like language models for chatbots, computer vision for quality control, and biomarker development.
Thomas emphasizes trust, transparency, and collaboration as critical to AI adoption, supported by AI certification programs for all Lilly technology employees, as well as AI education resources being made available for everyone at Lilly. He also highlights the company’s unique “lab-in-the-loop” setups that generate synthetic data to accelerate innovation.
Thomas shares real-world successes, including AI-assisted drug discovery and intelligent chatbots, and how AI is building confidence across the organization. With robust data infrastructure and scalable strategies for synthesizing large datasets, Lilly is driving rapid innovation. Thomas predicts faster drug design, broader access to medicines, and continuous education as defining trends for AI in healthcare. Take a listen.
#AIinHealthcare #DigitalHealth #PharmaInnovation #TheBigUnlock
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