My guests today are Dr Simone Arvisais-Anhalt and Dr Daniel Qazi.

• We discussed the benefits of using LLMs in pathology, including creating outlines, data analysis, and translating reports for patients
• There are also challenges in the use LLMs, such as hallucinations and bias
• Dr. Arvisais-Anhalt and Dr. Qazi described their study on using LLMs in clinical practice
• They were some interesting findings from the study, including different use cases and limitations of the tool
• We talked about future plans to implement retrieval augmented generation for tailored responses in pathology and laboratory medicine

Links for this episode:

Health Podcast Network

LabVine Learning

Dress A Med scrubs

Digital Pathology Club

Establishing priorities for implementation of large language models in pathology and laboratory medicine

What is Retrieval Augmented Generation?

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Jospeh Mossel co-founded Ibex in 2016. Since its inception, Ibex has remained committed to developing AI applications for clinical diagnostics.

The company achieved its first milestone in 2018 by deploying its first algorithm for prostate cancer. This algorithm not only enhanced diagnostic efficiency but also detected a diagnostic error, demonstrating the value of AI in pathology.

Over the years, IBEX has expanded its offerings to include algorithms for breast and gastric cancers, facing challenges due to the unique characteristics of each tissue type. However, through partnerships with healthcare organizations and pharmaceutical companies, IBEX has continued to innovate and grow.

This conversation covers the history of Ibex and some of their milestones. We conclude with a look toward the future of AI in pathology.

Links for this episode:

Health Podcast Network

LabVine Learning

Dress A Med scrubs

Digital Pathology Club

Ibex Medical Analytics

An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study

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My guests today are Imogen Fitt from Signify Research and Nathan Buchbinder from Proscia. We discuss emerging trends in pathology, including:

• The current technology with the most significant impact in the field of pathology has been artificial intelligence (AI).

• AI has stirred up imaginations about the future of pathology and has accelerated the timeline for seeing its impact.

• Return on investment in digital pathology has shifted from being a challenge to becoming an opportunity that drives adoption.

• Pathologists are not being replaced by AI but rather augmented by it to make their work easier and more efficient.

• Precision medicine is a key emerging trend in pathology, with a focus on clinical biomarkers, companion diagnostics, and personalized treatment pathways.

• Telepathology plays a crucial role in improving access to pathology services, especially in underserved areas and remote locations.

• Collaboration among digital pathology companies is driven by customer demand for interoperability and seamless integration of technologies.

• The future of pathology technology is likely to focus on precision medicine, clinical biomarkers, companion diagnostics, digital pathology storage, compression algorithms, robotics, and value-based care.

Links for this episode:

Health Podcast Network

LabVine Learning

Dress A Med scrubs

Digital Pathology Club

Signify Research

Proscia

People of Pathology Podcast:

Twitter

Instagram