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This is the second part of the first chapter of the recently published “Digital Pathology 101” book. 

This part of the chapter addresses a question that I keep hearing from those just entering the world of digital pathology: “Will pathologists lose their jobs now, that algorithms can be developed to diagnose disease?”

The short answer is “No”.

Keep reading for the explanation why not.

The Rise of Deep Learning

One of the most notable trends has been the rise of deep learning and AI in digital pathology. These advanced techniques are being embraced by the pathology community to analyze complex issues from sclerotic glomeruli through liver fibrosis to different types of cancer. The user-friendliness of new tools powered by deep learning makes it accessible even for non-experts.

Industry Paradigm Shifts  

Several paradigm shifts are occurring in the digital pathology industry:

• Transition from handcrafted algorithms to deep learning
• Shift to cloud-based Software as a Service (SaaS) solutions 
• Movement towards pathologist decision support systems rather than fully autonomous analysis
• Enhanced user-friendliness of digital pathology software
• 
  

Empowering Pathologists

An important change has been the emphasis on empowering pathologists with decision support systems rather than replacing them with algorithms. The goal is to accelerate the case review process without compromising accuracy or integrity. Pathologists remain responsible for the final diagnosis.

Blending Analog and Digital Worlds

Some innovative companies are pioneering solutions to blend traditional microscopes and digital pathology, such as Augmentics' augmented reality microscope cameras or systems used by Smart in Media. This allows professionals to collaborate in real-time and apply algorithms while still using the cherished microscope. 

Personalized Digital Pathology 

The industry has moved away from a one-size-fits-all approach to personalized solutions tailored to each institution's workflow and challenges. This shift leverages the power of deep learning while enhancing user experience.

The trusted microscope remains an essential part of pathology, but digital solutions open new doors for analysis and efficiency. As this field evolves, quality control and understanding the capabilities and limitations of technology is crucial.

Exciting times are ahead in digital pathology! Be sure to listen to the full podcast episode for an in-depth discussion.

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Get the PDF of "Digital Pathology 101" Book here

Get the paper copy  of "Digital Pathology 101" on AMAZON

Read the original blog post "New Trends and Paradigm Shifts in the Digital Pathology Industry"

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