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In this episode, I sit down with Dr. Nina Kottler, Associate Chief Medical Officer of Clinical AI at Radiology Partners, to dive into the evolving role of AI in radiology and how it can shape the future of digital pathology. Dr. Kottler shares her unique journey, expertise, and practical frameworks for implementing AI that enhance patient care and streamline diagnostic workflows.

Episode Highlights and Key Moments:

• [00:00:45] Introduction to Dr. Nina Kottler
  Dr. Kottler discusses her background in applied mathematics, her journey into medicine, and her work at Radiology Partners, where she combines clinical practice with AI innovation.
• [00:04:30] Breaking Down Complex Problems in AI
  Nina explains her approach to tackling large clinical challenges by breaking them down into manageable parts, a method that’s essential for developing and optimizing AI solutions.
• [00:08:15] The Role of Data Orchestration
  We dig into “data orchestration” and how ensuring data is aligned with the right AI model is key to producing accurate and reliable clinical outcomes.
• [00:11:45] Life Cycle of an Exam in Radiology
  Nina takes us through each step in the radiology workflow—from the initial patient consultation to reporting—and highlights how AI can streamline and enhance each phase.
• [00:17:00] Evolution of AI Models in Healthcare
  We explore how AI has evolved, from early CAD systems to today’s multimodal and transformer models, and the exciting possibilities they bring to both radiology and pathology.
• [00:23:20] Addressing the Lag in AI Adoption in Healthcare
  We discuss the challenge of keeping up with AI advancements while balancing patient safety, regulatory standards, and the need for reliability in clinical settings.
• [00:27:50] Frameworks for Reducing Variability and Improving Accuracy
  Nina shares actionable frameworks that Radiology Partners uses to reduce variability and improve diagnostic precision—strategies that pathology can learn from.
• [00:32:40] AI in Workflow Optimization: Where It Has Real Impact
  We discuss specific use cases in clinical workflows that show where AI can bring the greatest value, especially in enhancing patient care through optimized processes.
• [00:36:50] The Power of Multimodal AI and Vision-Language Models
  Combining large language models with computer vision is moving diagnostics closer to comprehensive, AI-driven care—a promising development we explore in depth.
• [00:42:15] The Future of Agents in AI
  We dive into the concept of “agents” in AI and how these systems may soon coordinate multiple models for more complex and precise clinical analyses.
• [00:48:10] Where to Learn More about Dr. Nina Kottler’s Work
  Nina shares where you can catch her upcoming talks and presentations, plus resources for staying updated on the latest in AI for radiology and digital pathology.

If you're a pathologist, radiologist, or healthcare professional curious about AI’s impact on diagnostics, this episode is packed with practical guidance on integrating AI into clinical workflows. Join us as we explore how AI is shaping the future of radiology and pathology!

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Welcome back to the DigiPath Digest, fresh from PathVision!

In this episode we will dive into the latest updates from the PathVision conference, covering trends in AI-driven diagnostics, the expansion of digital pathology into primary care, and the exciting new frontier of glassless pathology.

Join me as I recap the highlights of PathVision and the latest updates from the digital pathology literature, including discussions on:

• AI Integration in Pathology: Learn how AI is advancing breast cancer diagnostics with tools like Ki-67 scoring models and multi-label AI for mammography, aimed at reducing unnecessary biopsies.

• Global Health & Digital Microscopy: Hear about innovative projects from Sweden and Finland focused on AI-supported digital microscopy in primary healthcare labs, bringing accessible diagnostics to underserved areas.

• Glassless Pathology with MUSE: Discover how glassless pathology is changing tissue imaging with MUSE (Microscopy with UV Surface Excitation), enabling diagnostics without the need for traditional glass slides. Dr. Zuraw breaks down what this means for future pathology workflows.

Plus, a shout-out to the vendors and partners making these advancements possible, and insights from Dr. Zuraw’s conversations with digital pathology trailblazers from around the globe, including new developments from Asia in digital pathology education and technology.

Timestamps:

• [0:00] PathVision Highlights & Global Attendees
• [5:15] AI in Diagnostic Workflows: Dr. Anil Parwani’s “Pathology Train Ride”
• [12:30] Moving Beyond Narrow AI: Multimodal and Foundational Models
• [18:45] Glassless Pathology: A New Frontier with MUSE Microscopy
• [25:10] Integrating Digital Microscopy in Global Health Labs
• [32:00] Breast Cancer Month: New Advances in AI for Diagnostics
• [42:00] One Health & AI for Disease Detection in Primary Care
• [48:30] Special Interviews: Jun Fukuoka and Asian Society of Digital Pathology

Links and Resources:

• Subscribe to Digital Pathology Podcast on YouTube
• Pathology News
• Signify Research Monthly Recap
• YouTube version of this episode

Publications Discussed Today:

📝 AI-Supported Digital Microscopy Diagnostics in Primary Health Care Laboratories: Protocol for a Scoping Review
🔗https://pubmed.ncbi.nlm.nih.gov/39486020/

📝 Ki-67 evaluation using deep-learning model-assisted digital image analysis in breast cancer
🔗https://pubmed.ncbi.nlm.nih.gov/39478421/

📝A Multi-label Artificial Intelligence Approach for Improving Breast Cancer Detection With Mammographic Image Analysis
🔗https://pubmed.ncbi.nlm.nih.gov/39477432/

📝 A comprehensive evaluation of an artificial intelligence based digital pathology to monitor large-scale deworming programs against soil-transmitted helminths: A study protocol
🔗 https://pubmed.ncbi.nlm.nih.gov/39466830/


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In this episode, I meet with Adam Cole, MD, and Jason Camilletti about how digital pathology transforms the field. Adam, the CEO of TruCore Pathology, and Jason, the CEO of PathNet Labs, share their unique journeys from the military to becoming digital pathology leaders. We explore their experiences, challenges, and innovations in integrating AI and digital tools into their practices.

Key Topics Discussed:

• [00:00:00] Introduction to AI in Pathology
• [00:01:00] Adam and Jason’s Military Backgrounds
• [00:05:00] Adam’s Story of Becoming a Mobile Pathologist
• [00:10:00] The Move to Fully Digital Pathology
• [00:14:30] AI’s Role in Pathology
• [00:20:00] Challenges in Implementing Digital Pathology
• [00:25:00] Improving Patient Outcomes with Digital Tools
• [00:29:00] Digital Pathology’s Impact on Patient Care
• [00:38:00] Using AI for Quantifying Tumor Volume
• [00:40:00] The Role of AI in Enhancing Diagnostics

Adam and Jason emphasize the immense potential of AI in pathology, but also the need for thoughtful integration. The future of pathology lies in using digital tools to provide faster, more accurate diagnoses while maintaining the critical human element. Tune in to learn how AI is reshaping the field and what it means for both pathologists and patients.

THIS EPISODE'S RESOURCES:

• TruCore website
• PathNet Website

OTHER EPISODES YOU MIGHT LIKE:

• The Evolution of Digital Pathology – from Improved Histology Quality to Fair Use of Pathology Data w/ Matthew O. Leavitt, DDx Foundation
• Achieving work-life balance in medicine as a pathologist with digital pathology w/ Todd Randolph, MD

Support the show

Become a Digital Pathology Trailblazer get the "Digital Pathology 101" FREE E-book and join us!