Aleksandra Zuraw from Digital Pathology Place discusses digital pathology from the basic concepts to the newest developments, including image analysis and artif...
121: How Pathology Images Can Transform Cancer Understanding w/ Dr. Lija Joseph
Send us a textIn this episode of the Digital Pathology Podcast, I sit down with Dr. Lija Joseph, a pathologist who is redefining patient care by making pathology more accessible and understandable. Traditionally, pathology has been a “behind-the-scenes” specialty, but Dr. Joseph is changing that by directly engaging with patients, showing them their pathology slides, and empowering them with knowledge about their diagnoses.🔬 Key Topics Covered:[00:00:00] Introduction to Patient-Centric Pathology[00:01:00] Meet Dr. Lija Joseph: Her Background and Journey[00:05:00] The Patient Who Inspired a New Approach[00:10:00] Why Patients Need to See Their Pathology Images[00:15:00] The Power of Knowledge: How Patient Awareness Improves Care[00:20:00] Overcoming Barriers to Patient-Pathologist Communication[00:25:00] How Digital Pathology Can Make This Scalable[00:30:00] The Role of Technology in Breaking Down Access Barriers[00:35:00] Convincing Healthcare Leadership to Support This Initiative[00:40:00] How Digital Pathology Can Transform Patient Outcomes🩺 Why This Matters:Most patients never meet their pathologists—but should they? Dr. Joseph believes so. She shares powerful stories of how patients who see their own slides gain a deeper understanding of their disease, make better treatment decisions, and experience greater peace of mind.🚀 How Digital Pathology Can Change the Future:Dr. Joseph’s approach is innovative, but digital pathology can take it even further. Imagine a world where patients don’t have to visit a hospital to see their biopsy results but can access them remotely through secure digital platforms. This technology has the potential to bridge the gap between patients and their pathologists, improving care and trust.🎧 Tune in now to learn how pathology can become more patient-focused!#DigitalPathology #PatientCenteredCare #PathologyInnovation #AIinHealthcareSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
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125: Direct-to-Digital Tissue Imaging | Interview with Drs. Rao and Edwards, Muse Microscopy
Send us a textWhat if we could skip glass slides altogether and go straight from fresh tissue to digital image? Muse Microscopy's SmartPath device aims to do just that, capturing diagnostic-quality images directly from fresh tissue. In this episode brought to you by Muse Microscopy, I sit down with Dr. Rao and Dr. Edwards to discuss the insights, challenges, and future of this groundbreaking technology. We explore its regulatory ramifications, change management in veterinary and human pathology, and financial feasibility. Tune in to learn why SmartPath could be a game-changer for both pathologists and patients.00:00 Introduction to SmartPath Technology00:54 Meet the Experts: Dr. Rao and Dr. Edwards01:08 FDA Approval and Implementation Plans01:35 Change Management in Pathology01:56 Training Pathologists for SmartPath03:48 Translational Tissue Banking and Clinical Applications04:29 Impact on Breast Pathology05:49 Pathologists' Reception and Adoption14:33 Financial Viability and ROI19:44 Conclusion and Future ProspectsLinks and Resources:This episode on YouTubeMuse Microscopy WebsiteSmartPath Device Demo VideoSupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
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124: Slide-free Digital Pathology | Deep Dive into Muse Microscopy
Send us a textTransforming Pathology: A Deep Dive into the Muse SystemThis episode is sponsored by Muse Microscopy. In this episode, we explore the primary challenge of implementing digital pathology globally—digitizing the analog. A potential solution is direct-to-digital pathology, exemplified by the MUSE system by Muse Microscopy. This technology eliminates the need for glass slides and manual staining, offering rapid, non-destructive imaging of intact tissue samples. You will learn about the advantages of Muse, including faster diagnostics, improved data fidelity, and broader accessibility, particularly in remote areas. Detailed insights into the Muse workflow, imaging techniques, and potential applications in human and veterinary medicine are provided. Challenges like adoption barriers and regulatory hurdles are also addressed. Join us as we explore how the Muse system is redefining diagnostic workflows and enhancing patient outcomes.00:00 Introduction to Digital Pathology00:18 The Hurdle of Digitizing Analog Pathology00:26 Direct to Digital Pathology: A Game Changer01:46 Introduction to Muse Microscopy02:32 How Direct to Digital Pathology Works03:10 Advantages of Direct to Digital Pathology04:13 Understanding Muse Technology05:26 The Digital Pathology Workflow with Muse14:15 Challenges and Misconceptions15:38 The Future of Pathology16:31 Frequently Asked Questions18:07 Conclusion and Additional Resources18:54 Behind the Scenes and Final ThoughtsLinks and Resources:Original blog post on Digital Pathology Place Website and LinkedInYouTube playlist with more information about MUSESmartPath Product presentation from CAP 2024Video showing the SmartPath device at the conference boothUSCAP in Boston - Muse Microscopy booth #528Support the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
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123: Generative AI: Deeper Dive
Send us a textIn this episode of the Digital Pathology Podcast, I take a deeper dive into Generative AI in Pathology, following the AI in Pathology series published by USCAP. AI has already begun transforming medical diagnostics, but what does Generative AI mean for digital pathology? From synthetic data generation to multimodal AI models, this episode explores the cutting edge of AI’s role in pathology and how it’s evolving to enhance efficiency, accuracy, and patient care.🔬 Key Topics Covered:[00:00:00] Introduction – The Evolution of AI in Pathology[00:02:00] Acknowledging the Authors Behind the AI Review Series[00:04:00] What Is Generative AI and Why Is It a Game-Changer?[00:06:00] The Cambrian Explosion of Generative AI in Medicine[00:08:00] Understanding Transformer Architectures and Cloud Computing[00:12:00] ChatGPT, DALLE, and Multi-Modal AI: What’s Next?[00:18:00] Synthetic Data Generation: A New Era for Pathology Training[00:24:00] How AI Can Pass Medical Exams and Assist Pathologists[00:30:00] Reducing Bias and Ethical Concerns in AI-Based Diagnostics[00:38:00] Real-World Use Cases of AI-Generated Pathology Reports[00:45:00] The Future of Generative AI in Digital Pathology🩺 Why This Episode Matters:Generative AI is no longer just a concept—it’s already being used to train models, generate high-fidelity pathology images, and assist with diagnostic decision-making. However, challenges remain, from bias in AI models to the need for domain-specific training data. Understanding these factors is essential for pathologists and medical professionals who want to leverage AI responsibly in clinical practice.🚀 What’s Next?This episode discusses not just what Generative AI is but how it can reshape pathology workflows and where we’re headed next. If you’re interested in how AI can improve efficiency and accuracy in diagnostics, this is a conversation you don’t want to miss.🎧 Listen now to explore the future of Generative AI in pathology!👉 Watch or listen here: https://www.youtube.com/live/hRv9GmMWSjk?si=OEg8gafqRA2M_zlx#DigitalPathology #AIinHealthcare #PathologyInnovation #GenerativeAISupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
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122: The Role of Generative vs. Non-Generative AI in Medical Diagnostics
Send us a textIn this episode of the Digital Pathology Podcast, I explore the evolving role of Generative vs. Non-Generative AI in Medical Diagnostics. As AI continues to transform the medical field, understanding the differences between these two approaches is essential for pathologists, researchers, and healthcare professionals.We break down the key concepts behind generative AI models (like ChatGPT and image-generation tools) and non-generative AI models (such as traditional machine learning for diagnostic support). I also highlight a groundbreaking seven-part AI review series published in Modern Pathology, which serves as a crucial reference for integrating AI into pathology.🔬 Key Topics Covered:[00:00:00] Introduction and Technical Adjustments[00:02:00] Why AI Education in Pathology Is More Important Than Ever[00:04:00] Overview of the Modern Pathology AI Review Series[00:06:00] Generative vs. Non-Generative AI: What’s the Difference?[00:08:00] AI in Pathology: Current Applications and Future Potential[00:12:00] Addressing Bias and Ethical Concerns in AI Models[00:16:00] How AI Can Improve Accuracy in Medical Imaging[00:20:00] The Role of Large Language Models (LLMs) in Pathology[00:25:00] Multi-Modal AI: The Future of Integrating Imaging and Text Data[00:30:00] Real-World Use Cases and AI-Driven Diagnostics🩺 Why This Episode Matters:AI is no longer a futuristic concept—it’s here, and it’s shaping the future of digital pathology and medical diagnostics. In this episode, I break down how AI can enhance accuracy, improve workflow efficiency, and make diagnostic insights more accessible. However, AI models also come with risks, such as bias and interpretability challenges, which we need to address responsibly.🚀 Take Action:AI in pathology isn’t just a passing trend—it’s a paradigm shift. Whether you're a pathologist, researcher, or lab professional, this episode will give you the knowledge you need to stay ahead in the era of AI-driven diagnostics.🎧 Listen now and explore the future of AI in pathology!👉 Watch it here: https://www.youtube.com/live/Mq4Xwxoq_ok?si=o7bA90BlZff9iI_A#DigitalPathology #AIinHealthcare #PathologyInnovation #GenerativeAISupport the showBecome a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!
Aleksandra Zuraw from Digital Pathology Place discusses digital pathology from the basic concepts to the newest developments, including image analysis and artificial intelligence. She reviews scientific literature and together with her guests discusses the current industry and research digital pathology trends.