Digital Pathology Podcast

• 135: Inside the Asian Society of Digital Pathology | Podcast with Junya Fukuoka, MD, PhD

  Send us a textWhat does it take to build a digital pathology movement across the most diverse region on Earth?In this episode of the Digital Pathology Podcast, I’m joined by Dr. Junya Fukuoka, practicing pathologist, educator, and founder of the Asian Society of Digital Pathology (ASDP). From Japan to India, Saudi Arabia to South Korea, Asia’s digital pathology adoption is growing rapidly—and Dr. Fukuoka is helping lead the charge.We talk about why digital access, multilingual support, and patient advocacy are central to pathology adoption across Asia’s diverse regions. We also explore what it means to “skip” a step in tech, and why static images and direct-to-digital imaging may be Asia’s most powerful tools.🧠 Key Topics Covered:[00:01:00] Founding ASDP and the need for regional unification[00:03:00] Digital pathology in Japan: research, practice & education[00:05:00] Patient visibility, advocacy & the gateway to treatment[00:08:00] The speed of diagnosis when pathology goes digital[00:10:00] AI’s role in standardizing immunohistochemistry scoring[00:13:00] Diversity in Asia and the power of real-time translation[00:17:00] Static image pathology and skipping scanner dependence[00:21:00] Stats: 400 attendees, 45 vendors, 29 countries at ASDP[00:24:00] Invitation to the 2025 ASDP Congress in Mumbai, India🎧 Listen now to learn how ASDP is empowering digital pathology with community, innovation, and inclusivity.Episode Resources:  🔗 Join ASDP: https://asdp.ai#DigitalPathology #ASDP #PathologyInnovation #GlobalHealth #AsiaInTechSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

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• 134: AI Trust Issues, Challenges, and Multimodal Insights in Pathology with Hamid R. Tizhoosh, PhD

  Send us a textIn this episode, I’m joined by Dr. Hamid Tizhoosh, professor of biomedical informatics at the Mayo Clinic, to unravel what’s truly holding back AI in healthcare, especially pathology. From the myths of general-purpose foundation models to the missing link of data availability, this conversation explores the technical and ethical realities of deploying AI that’s accurate, consistent, lean, fast, and robust.📌 Topics We Cover[00:01:00] The five essential qualities AI must meet to be usable[00:04:00] Why foundation models often fail in histopathology[00:08:00] What “graceful failure” looks like in AI for diagnostics[00:13:00] The problem with data silos and missing clinical records[00:22:00] Why specialization in AI models is non-negotiable[00:34:00] The role of Retrieval Augmented Generation (RAG)[00:43:00] How transformer models broke away from brain mimicry[00:50:00] Academic dishonesty, publication pressure & bias[01:04:00] Decentralized AI and why it won’t solve big problems[01:12:00] Data diversity, disparity, and the realities of healthcare bias🔍 If you’ve ever wondered why AI tools stall in real-world pathology labs, this episode breaks it down with honesty, clarity, and vision.THIS EPISODE’S RESOURCES:Foundation Models and Information Retrieval in Digital Pathology (Paper)Foundation Models and Information Retrieval in Digital Pathology (Video)This episode on YouTube#DigitalPathology #AIinMedicine #ClinicalAI #PathologyInnovation #BiasInAISupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

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• 133: The World Tumor Registry A Global Resource for Pathology and Patient Care

  Send us a textIn this episode of the Digital Pathology Podcast, I sit down with Dr. Yuri Nikiforov, founder of the World Tumor Registry, to explore how this global, open-access whole slide image platform contributes to cancer diagnostics, education, and research.We talk about how the registry allows pathologists, researchers, and patients to view curated whole-slide images from around the world, starting with thyroid tumors and expanding into other cancers like breast and lung. Learn how AI, molecular diagnostics, and editorial curation come together to build a truly global pathology tool that’s free for everyone, forever.🧠 Key Highlights:[00:00:00] What the World Tumor Registry is and why it was created[00:03:00] How it works: curated, high-quality digital slides from across the globe[00:06:00] Interactive diagnostic tools for pathologists and students[00:10:00] Contributor guidelines and editorial board responsibilities[00:15:00] Using the platform as a patient, clinician, or researcher[00:24:00] The role of AI and future treatment-focused video add-ons[00:34:00] Platform design, data standards, and free access for all[00:42:00] Why this global database is a breakthrough for education and equity🎧 Listen now to learn how you can contribute, explore rare cases, or use the platform to educate patients, students, and even yourself.📌 Explore the Registry or Donate: https://worldtumorregistry.org#DigitalPathology #WorldTumorRegistry #GlobalCancerCare #PathologyEducation #OpenAccessDataSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

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• 132: Ethical and Bias Considerations in Artificial Intelligence/Machine Learning

  Send us a textIn this episode of the Digital Pathology Podcast, I explore the ethical and bias considerations in AI and machine learning through the lens of pathology. This is part six of our special seven-part series based on the landmark Modern Pathology review co-authored by the UPMC group, including Matthew Hanna, Liam Pantanowitz, and Hooman Rashidi.From data bias and algorithmic bias to labeling, sampling, and representation issues, I break down where biases in AI can arise—and what we, as medical data stewards, must do to recognize, mitigate, and avoid them.🔬 Key Topics Covered:[00:00:00] Introduction and post-USCAP 2025 reflections[00:03:00] Overview of AI and ethics paper from Modern Pathology[00:06:00] What it means to be a “data steward” in pathology[00:08:00] Core ethical principles: autonomy, beneficence, justice & more[00:13:00] Types of bias in AI systems: data, sampling, algorithmic, labeling[00:22:00] Temporal and feedback loop bias examples in pathology[00:29:00] FDA involvement and global guidelines for ethical AI[00:34:00] Bias mitigation: from diverse datasets to ongoing monitoring[00:43:00] The FAIR principles for responsible data use[00:49:00] AI development & reporting frameworks: QUADAS, CONSORT, STARD🩺 Why This Episode Matters: If we want to deploy AI ethically and reliably in pathology, we must check our bias—not just once, but at every stage of AI development. This episode gives you practical tools, frameworks, and principles for building responsible AI workflows from the ground up.🎧 Listen now and become a more conscious and capable digital pathology data steward.👉 Get the Paper here: Ethical and Bias Considerations in Artificial Intelligence/Machine Learning 📘 Explore more on this topic: https://digitalpathologyplace.comSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

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• 131: USCAP 2025 DAILY UPDATE | DAY 4

  Send us a textUSCAP 2025 Daily Update – Day 4 with Dr. Aleksandra ZurawIt’s the final day of USCAP 2025, and in this episode of the Digital Pathology Podcast, I’m sharing personal moments, spontaneous tech wins (and fails), and meaningful conversations with some of the most forward-thinking voices in digital pathology.From running around with mics and misplaced tripods to interviewing Dr. Dry and Dr. Ozumura, this episode captures both the spirit of innovation and the real-world challenges of advancing digital workflows—especially in environments where regulations still lag behind.🔬 Key Topics Covered:[00:00:00] Morning mishaps, behind-the-scenes livestream chaos[00:02:00] Meeting international listeners and the Korean heart selfie tip 💙[00:03:00] MUSE Booth podcast recordings with Dr. Dry (UCLA)[00:05:00] Change management, leadership, and building digital culture[00:06:00] Dr. Ozumura's dual-mode pathology workflow in Japan[00:08:00] Digital pathology for remote areas and island-based diagnostics[00:10:00] What's new at vendor booths? Launching a vendor highlight roundup[00:12:00] Interoperability, collaboration, and the growing presence of digital[00:14:00] Reflections on the final day, networking, and the future of pathology🩺 Why This Episode Matters: Digital pathology is no longer an add-on—it’s the foundation of future workflows. Day 4 at USCAP showed how global leaders, industry partners, and early adopters are all rallying behind the need for interoperability, real-time imaging, and inclusive innovation. Whether it’s Japan’s regulatory balancing act or the power of leadership at institutions like UCLA, this episode is packed with perspective.🎧 Listen now and close out USCAP 2025 with insights, laughs, and inspiration.Support the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!

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