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74: Digital Pathology 101 Chapter 4 | Digital Pathology Applications
Manage episode 380030301 series 3404634
Contenuto fornito da Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Aleksandra Zuraw, DVM, PhD, Aleksandra Zuraw, and DVM o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
Get the PDF of "Digital Pathology 101" Book here
Have you started your digital pathology journey already?
Chances are that if you are reading this, you have. You have started it in a particular point of "digital pathology entry". Maybe it was tissue image analysis, virtual rounds on whole slide images or validation of a scanner.
My "digital pathology entry point" was tissue image analysis and only through the lens of this application have I learned what are the other digital pathology applications.
In this chapter you will learn about all the current applications of digital pathology.
Because of where I started my journey I will always be biased towards tissue image analysis and AI, but revisiting the overview provided in this chapter will help me have all the other applications in mind, when I continue my journey of promoting digital pathology in the scientific and medical community.
I hope it will be a good basis for you as well. So let's dive into the contents.
Here is what you will learn in Chapter 4 of the "Digital Pathology 101" book:
We'll start by looking at the clinical applications. This includes
- the use of digital pathology for primary diagnosis in surgical pathology and cytopathology.
It facilitates more detailed examination and collaboration between pathologists. We'll also discuss
- how telepathology enables remote intraoperative consultations and second opinion consults.
And we'll touch on the
- education and training benefits, from resident teaching to continuing medical education.
Moving to research, we outline key applications like
- quantitative image analysis,
- AI and machine learning for predictive modeling, and
- high throughput analysis.
- collaboration, allowing researchers to simultaneously access images
- large scale studies and validation across institutions.
In drug development, digital pathology enhances
- preclinical histopathology and
- biomarker evaluation
- clinical trials by eliminating slide shipment and enabling centralized review.
Digital tools can also assist in developing companion diagnostics, although regulatory requirements here are still evolving.
While each application has its challenges, the overarching benefit of digital pathology is its
- capacity to connect workflows,
- enhance efficiency, and
- open new possibilities across clinical, research, and drug development spheres.
Understanding the breadth of these applications provides a compass for navigating our own digital pathology journeys.
Enjoy this chapter and I'll talk to you in chapter 5.
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