The Signal: AI in Radiotherapy by Therapanacea

Therapanacea
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Welcome to TheraPanacea's media hub, The Signal: Insights on AI in Oncology - a resource for AI-driven oncology content featuring product demonstrations, clinical webinars, and conversations with experts across radiation therapy, radioligand therapy, and beyond. The content on this page helps clinical teams - from radiation oncologists and dosimetrists to the broader radiotherapy and oncology community - understand how AI is transforming precision cancer care, from contouring and adaptive planning to the next generation of an AI assisted Treatment Care Path.

Episodes

  1. 2d ago

    Advancing AI in Radiation Oncology: Dr. Sotiri Stathakis on Clinical Efficiency, MRI-Only Workflows, and the Future of Adaptive Therapy

    Key Discussion Topics: AI Adoption at Mary Bird Perkins: How the cancer center introduced TheraPanacea's AI solutions through a gradual, carefully evaluated implementation process. MRI-Only Radiation Therapy: How MR-Box supports MRI-only workflows for prostate and bladder cancer patients, eliminating an additional CT appointment and simplifying treatment planning. AI-Powered Contouring: How Annotate is used for approximately 40–45% of patients, particularly for abdominal and head and neck cases, improving physician efficiency. The Future of Adaptive Radiotherapy: Early research and evaluation of TheraPanacea's AdaptBox and plans for a phased, anatomical site-by-site implementation. AI as a Clinical Assistant: Why automation allows physicists and dosimetrists to focus more on quality assurance, treatment optimization, and patient safety. Centralizing Treatment Planning: How AI can serve as an integration hub across multiple treatment planning systems, vendors, and clinical locations. Advice for Healthcare Organizations: The importance of independent validation, peer-reviewed research, clinical testing, and starting small when introducing AI technologies. What's Next for AI in Oncology: Opportunities to connect imaging, contouring, dose prediction, treatment planning, workflow management, and patient outcomes. Key Takeaway: Successful AI adoption in radiation oncology isn't just about introducing new technology. It's about finding solutions that integrate into existing clinical workflows, reduce operational bottlenecks, support medical professionals, and ultimately improve patient care.

  2. Oct 26

    The Future of Radiotherapy & AI: A Conversation with Thomas 'Rock' Mackie

    In this episode of The Signal: AI in Radiotherapy, we explore the evolution of radiation oncology through innovations like Pinnacle, TomoTherapy, and Leo Cancer Care's upright treatment technology. The conversation examines how better dose calculations, 3D visualization, and image-guided treatment planning transformed clinical workflows—and why AI could drive the next major paradigm shift. Key topics include: - The evolution of radiation therapy: How Pinnacle and TomoTherapy helped advance CT-based planning, IMRT, and treatment verification. - The promise of upright radiotherapy: How treating patients in an upright position could improve comfort, positioning, and treatment efficiency. - AI in medical physics: How generative AI could transform software development, quality assurance, treatment optimization, and clinical workflows. - Same-day adaptive radiotherapy: The potential to combine imaging, treatment planning, quality assurance, and delivery into a single-day workflow. - TheraPanacea's role: How AI-powered auto-contouring, deformable image registration, and advanced imaging capabilities could support more efficient adaptive radiotherapy. - Overcoming resistance to innovation: Why disruptive technologies face skepticism and how clinical adoption evolves. Looking ahead, the discussion explores a future where patients could receive their first radiation treatment the same day as their consultation, with personalized treatment plans adapted daily.

  3. Oct 19

    The Future of AI in Medical Physics: Trust, Validation, and Human Expertise with Niek Schreuder

    Guest: Niek Schreuder, Chief Scientific Officer, Leo Cancer Care Key Discussion Points: - How AI is transforming medical physics and radiation oncology. - The shift from generating results to validating AI-generated outputs. - Why a strong foundation in physics remains critical for identifying errors. - Practical applications of AI, including automated contouring. - The importance of gradually building trust in AI for clinical workflows. - How AI can free up time for complex treatment planning and patient care. Key Takeaway: AI is not a replacement for medical physicists but a tool to enhance their capabilities. Niek emphasizes that combining AI-driven efficiency with human expertise and careful validation is essential to improving workflows and patient outcomes.

  4. Oct 16

    Dr. Dana Rosencranz: Reflecting on being a cancer surviver and Medical Physicist in Oncology

    Dana Rosenkranz, Chief Medical Physicist at Texas Oncology and five-year breast cancer survivor, shares her unique perspective as both a cancer care provider and patient. She discusses how her personal experience has deepened her empathy for patients and highlights Texas Oncology’s commitment to delivering advanced, personalized cancer care closer to home, particularly in rural communities. Dana also discusses the growing role of AI in radiation oncology, including auto-contouring, treatment planning, and quality checks. She is optimistic about AI’s potential but emphasizes the importance of human oversight, staff training, thorough testing, validation, and transparency from technology vendors.

  5. Sep 29

    The Signal: Podcast Ep 1 - Introduction

    The Signal: AI in Radiotherapy by Therapanacea

  • 5 Episodes

About

Welcome to TheraPanacea's media hub, The Signal: Insights on AI in Oncology - a resource for AI-driven oncology content featuring product demonstrations, clinical webinars, and conversations with experts across radiation therapy, radioligand therapy, and beyond. The content on this page helps clinical teams - from radiation oncologists and dosimetrists to the broader radiotherapy and oncology community - understand how AI is transforming precision cancer care, from contouring and adaptive planning to the next generation of an AI assisted Treatment Care Path.

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