Send us a text

Welcome to the 21st edition of DigiPath Digest!

In this episode, together with Dr. Aleksandra Zuraw you will review the latest digital pathology abstracts and gain insights into emerging trends in the field.

Discover the promising results of the PSMA PET study for prostate cancer imaging, explore the collaborative open-source platform HistioColAI for enhancing histology image annotation, and learn about AI's role in improving breast cancer detection.

Dive into topics such as the role of AI in renal histology classification, the innovative TrueCam framework for trustworthy AI in pathology, and the latest advancements in digital tools like QuPath for nephropathology.

Stay tuned to elevate your digital pathology game with cutting-edge research and practical applications.

00:00 Introduction to DigiPath Digest #21
01:22 PSMA PET in Prostate Cancer
06:49 HistoColAI: Collaborative Digital Histology
12:34 AI in Mammogram Analysis
17:21 Blood-Brain Barrier Organoids for Drug Testing
22:02 Trustworthy AI in Lung Cancer Diagnosis
30:09 QuPath for Nephropathology
35:30 AI Predicts Endocrine Response in Breast Cancer
40:04 Comprehensive Classification of Renal Histologic Types
45:02 Conclusion and Viewer Engagement

Links and Resources:

• Subscribe to Digital Pathology Podcast on YouTube
• Free E-book "Pathology 101"
• YouTube (unedited) version of this episode
• Try Perplexity with my referral link
• My new page built with Perplexity
• HistoColAI Github Page

Publications Discussed Today:

📰 Can PSMA PET detect intratumour heterogeneity in histological PSMA expression of primary prostate cancer? Analysis of [68Ga]Ga-PSMA-11 and [18F]PSMA-1007

📰 HistoColAi: An open-source web platform for collaborative digital histology image annotation with AI-driven predictive integration

📰 Advanced tissue technologies of blood-brain barrier organoids as high throughput toxicity readouts in drug development

📰 Implementing Trust in Non-Small Cell Lung Cancer Diagnosis with a Conformalized Uncertainty-Aware AI Framework in Whole-Slide Images

📰 GNCnn: A QuPath extension for glomerulosclerosis and glomerulonephritis characterization based on deep learning

📰 Annotation-free deep learning algorithm trained on hematoxylin & eosin images predicts epithelial-to-mesenchymal transition phenotype and endocrine response in estrogen receptor-positive breast cancer

📰 Leveraging explainable AI and large-scale datasets for comprehensiv

Support the show

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

Send us a text

In this episode of the Digital Pathology Podcast, you will learn about cytology's entrance into the digital pathology space, including successful AI and scanner implementations.

We cover AI's role in rapid on-site evaluation for lung cancer and share insights on a looming prostate cancer surge and how digital pathology and AI can help. I

You will also listen to a live demo of me using an AI assistant to decode a scientific paper in real-time. Tune in to stay on top of the digital pathology research in 2025!

00:00 Welcome to DigiPath Digest
00:53 Introduction and New Year Greetings
01:41 Diving into DigiPath Digest
01:44 AI in Respiratory Cytology
06:11 The Role of AI in Pathology
09:49 Multi-Omics and AI
11:28 Radiomics and Pathomics
14:44 Live Q&A and Future Plans
20:09 Prostate Cancer Tsunami
22:34 Thyroid Cytology and Live AI-Assistant demo
31:07 Conclusion and the option to send texts :)

Links and Resources:

• Subscribe to Digital Pathology Podcast on YouTube
• Free E-book "Pathology 101"
• YouTube (unedited) version of this episode
• Try Perplexity with my referral link
• My new page built with Perplexity

Publications Discussed Today:

📝 Evaluation of an enhanced ResNet-18 classification model for rapid On-site diagnosis in respiratory cytology

📝 Advancing precision medicine: the transformative role of artificial intelligence in immunogenomics, radiomics, and pathomics for biomarker discovery and immunotherapy optimization

📝 A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma

📝 The uropathologist of the future: getting ready with intelligence for the prostate cancer tsunami

📝 Artificial Intelligence and Whole Slide Imaging Assist in Thyroid Indeterminate Cytology: A Systematic Review

Support the show

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

Send us a text

In this episode, I’m joined by Dr. Giovanni Lujan, Nick Best, and Dr. Alae Kawam to explore a topic that hits close to home for many of us in digital pathology: why do so few pathologists attend digital pathology conferences? We delve into the barriers, opportunities, and actionable solutions that can help bridge this gap and drive the adoption of digital pathology across the profession.

What You’ll Hear in This Episode:

• Startling Observations (00:02:00): Only 10% of attendees at some digital pathology conferences are pathologists. Why is this the case, and what does it mean for the future of the field?
• Barriers to Adoption (00:04:00): From time constraints to a lack of institutional support, we unpack the key challenges stopping pathologists from going digital.
• Mentorship and Collaboration (00:09:00): How mentorship programs can connect seasoned professionals with early-career pathologists to share knowledge and drive adoption.
• The Role of the Next Generation (00:15:00): Insights into how young pathologists can lead the way with their enthusiasm and fresh perspectives.
• Engaging the Skeptics (00:07:00): Strategies to introduce hesitant or resistant pathologists to the transformative power of digital tools.
• Global Comparisons (00:10:00): What can the U.S. learn from Europe and Asia about accelerating digital pathology adoption?
• Leveraging Leadership and Advocacy (00:19:00): How young pathologists can work with leadership to introduce digital pathology as a standard practice in their organizations.
• The Impact of Digital Pathology on Work-Life Balance (00:20:00): Exploring how remote sign-outs and shorter turnaround times can enhance both patient care and pathologists’ quality of life.
• Making Digital Pathology the Norm (00:24:00): Ideas for shifting digital pathology from a secondary option to the standard of care, addressing common fears and misconceptions.
• Future Plans and Next Steps (00:28:00): A look at actionable steps for advancing digital pathology through podcasts, mentorship, and departmental advocacy.

Key Takeaways:
This conversation isn’t just about identifying challenges—it’s about solutions. We discuss how collaboration, leadership, and individual responsibility can drive meaningful change in digital pathology. Whether you’re a seasoned pathologist or just starting your career, this episode offers inspiration and actionable ideas to make digital pathology a core part of the profession.

Connect With Us:
Share your thoughts on why more pathologists aren’t attending these conferences. What’s holding them back, and what changes would you like to see in your department? Let’s keep this important conversation going!

Support the show

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

Send us a text

Leveraging AI for Deep Insights into Tertiary Lymphoid Structures in Colorectal Cancer

In this episode of the Digital Pathology Podcast, I introduce 'Aleks + AI,' a new experimental series leveraging Google's Notebook LM to delve deeper into scientific literature.

Today's focus is on tertiary lymphoid structures (TLS) and their potential to predict colorectal cancer prognosis. We discuss a study published in the October 2024 issue of Precision Clinical Medicine, exploring different methods of quantifying TLS using digital pathology and AI.

The paper title is: "Comparative analysis of tertiary lymphoid structures for predicting survival of colorectal cancer: a whole-slide images-based study"

The findings highlight TLS density as a reliable predictor of survival and its correlation with immune responses and microsatellite instability. We also touch upon the potential for AI to streamline TLS analysis in clinical settings and the broader implications for personalized medicine. Join us as we dive into the intersection of digital pathology and computer science, featuring insights and commentary from my AI co-hosts, Hema and Toxy.

00:00 Welcome and Introduction
00:45 Introducing the New AI Tool: Notebook LM by Google
01:11 Experimental Series: "Aleks + AI"
02:06 Deep Dive into Tertiary Lymphoid Structures (TLS)
03:18 Understanding TLS and Their Role in Colorectal Cancer
04:20 Quantification Methods and Key Findings
05:02 Implications for Personalized Medicine
09:02 AI in TLS Analysis and Future Prospects
11:00 CMS Classification and TLS Density
12:08 Study Limitations and Future Directions
15:40 Final Thoughts and Wrap-Up
16:28 Feedback and Future Plans

THIS EPISODE'S RESOURCES

• 116: DigiPath Digest #18 | Federated Learning in Pathology. Developing AI Models While Preserving Privacy

PUBLICATION DISCUSSED TODAY

📝 Comparative analysis of tertiary lymphoid structures for predicting survival of colorectal cancer: a whole-slide images-based study
🔗https://academic.oup.com/pcm/article/7/4/pbae030/7826772

📱 Send us a text

Support the show

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

Send us a text

In today's DigiPath Digest, we delve into federated learning, a decentralized approach to AI training that preserves data privacy.

I discuss recent papers from PubMed and share my experiences experimenting with AI tools like Perplexity and Gemini for research efficiency.

You will also get updates on upcoming plans, including leveraging AI to share more podcasts with you.

Did I mention that this is the last livestream of the year as I head to Poland for Christmas? No More DigiPath Digests. We got to number 18 (I overestimated it a bit in the podcast), and you have been instrumental in continuing this series!

Big THANK YOU to all the digital Pathology #TRLBLZRS showing up every Friday morning for this!

Join me as we tackle the nuances of federated learning and its impact on healthcare and pathology.

00:00 Introduction and Greetings
00:18 Today's Topic: Federated Learning
00:57 AI Tools and Updates
04:39 Federated Learning in Detail
08:03 Challenges and Benefits of Federated Learning
11:21 Exploring More Papers and Future Plans
22:53 Wrapping Up and Final Thoughts

Links and Resources:

• Subscribe to Digital Pathology Podcast on YouTube
• Free E-book "Pathology 101"
• YouTube (unedited) version of this episode
• Try Perplexity with my referral link
• My new page built with Perplexity

Publications Discussed Today:

📝 Privacy-preserving federated data access and federated learning: Improved data sharing and AI model development in transfusion medicine
🔗https://pubmed.ncbi.nlm.nih.gov/39610333/

📝 A review on federated learning in computational pathology
🔗https://pubmed.ncbi.nlm.nih.gov/39582895/


If you enjoyed this episode, please subscribe and leave a review on your podcast listening App!

Support the show

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

Send us a text

This episode features a conversation with Dr. Richard Doughty, Senior Medical Advisor at Aiforia Technologies, whose dual training in veterinary and medical pathology offers a unique perspective on the intersections of these fields. Together, we explore the challenges, opportunities, and innovations shaping digital pathology today.

What You’ll Learn in This Episode:

• [00:00:00] Challenges in Pathology Today
  Discussing the pathologist shortage, delayed diagnoses, and how AI can address these issues.
• [00:03:00] A Pathologist’s Dual Perspective
  Dr. Doughty shares his journey of becoming both a veterinary and medical pathologist, and what this means for pathology innovation.
• [00:08:00] AI’s Role in Pathology
  Insights into how clinician-centric AI tools like Aiforia are designed to improve diagnostic workflows and outcomes.
• [00:14:00] Addressing Challenges in AI Integration
  Strategies for overcoming hurdles like algorithm aversion, skill retention, and fostering trust in AI systems.
• [00:22:00] Preparing Future Pathologists
  The importance of incorporating AI training into residency programs and creating a digitally savvy workforce.
• [00:44:00] How to Implement AI Effectively
  Practical advice on selecting tools, collaborating with providers, and setting realistic goals for AI adoption in practice.

Resources and Links Mentioned:

• Learn More About Aiforia: https://www.aiforia.com/
• Download Digital Pathology 101
• Contact Dr. Richard Doughty: richard.doughty@aiforia.com
• Watch more videos created together with Aiforia: VIDEO PLAYLIST

This episode is supported by Aiforia Technologies, leaders in AI-powered solutions for digital pathology.

Do you know someone who should listen to this episode?
Share it with them!

Support the show

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

Send us a text

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!

Support the show

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

Send us a text

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/


If you enjoyed this episode, please subscribe and leave a review to

Support the show

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