Digital Pathology Blog

Digital pathology has played a role in laboratory workflows for decades. Early use of static images for teaching and tumor boards has grown to include today’s clinical applications including remote assisted fine needle aspirations and frozen sections and the use of whole slide images (WSI) for expert consultations and quality assurance (QA).

Late last month, the CEOs of Amazon, Buffett and JPMorgan Chase announced they were teaming up to form an independent healthcare company for their employees.

The details were scant and vague but mentioned the new corporation would be “free from profit-making incentives and constraints”. Mr. Buffett is quoted as saying, “The ballooning costs of health care act as a hungry tapeworm on the American economy… Our group does not come to this problem with answers. But we also do not accept it as inevitable.”

Probably not the best analogy considering tapeworms are easily treated with oral generic medications that are very low cost.

There is a lot of talk currently about artificial intelligence. AI- in short, is the ability for computing systems to be programmed to perform tasks AND to learn from those tasks to refine their abilities the next time a problem or question or decision is faced by the system tasked to perform the operation.

Until recently, the practice of pathology has been entirely “human-driven”.  Well-trained pathologists examine all tissues and arrive at diagnoses based on their application of learned criteria and experience.  However, it is well-known that the accuracy of human interpretation can be hampered by subjectivity (inter-observer variability), inconsistency (intra-observer variability), and fatigue. Recently, the rise of digital methods in pathology has led to a growing interest in applying artificial intelligence (AI) to aid or even improve on the analysis of medical specimens.  For the pathologist, AI has the potential to improve accuracy, productivity, and workflow by allowing the computer do what it does well: consume lots of data, recognize patterns, and perform automated analyses.  Objective and reproducible specimen examination, along with certainty  that all material has been “seen,” leads to greater accuracy.  AI can be trained to identify specific features and present them selectively to human observers, leading to prescreening (“guided screening”) of specimens and promising improved workflow and productivity.  And, finally, the “holy grail”: under the right circumstances, AI-driven systems can make novel observations of morphologic patterns in pathology specimens, potentially leading to new knowledge and ultimately computer-generated diagnosis.  In this blog, we describe our general approach to applying AI to digital pathology specimens, detail some of the important steps involved in establishing an AI workflow, and discuss the potential benefits of AI.

The American Recovery and Reinvestment Act (ARRA) 2009 introduced the Health Information Technology for Economical and Clinical Health (HITECH) Act with the aim to incentivize “meaningful” implementation and usage of Electronic Health Records (EHRs) throughout the nation. Under HITECH, two incentive programs for Medicare and Medicaid were introduced which allow eligible professionals (EPs) to claim thousands of dollars in incentives over several years, if they could meet the requirements set out for different stages of Meaningful Use.

In April, the field of digital pathology achieved a major milestone with the FDA giving clearance to Philips Medical Systems to market its whole slide imaging (WSI) system for primary diagnosis. While a significant step forward, there is still much work to be done before digital pathology (DP) becomes a mainstream technology for clinical use. 

Growing up as an avid member of the 60’s TV generation, one of my favorite genres included nature shows. In the years long before YouTube, we often arranged our week to be home in time to watch Marlin Perkins’ Mutual of Omaha's Wild Kingdom on Sunday evenings. And of all the spectacular scenery shown, a very specific type of photography captured my imagination – time-lapse video. 

You’ve seen the same amazing footage.  It begins with a barren desert that looks almost choked off from life, with the exclusion of a few scraggly cacti and perhaps a plodding reptile or two.  Next comes the torrential rainstorm, and a vivid rainbow of breathtaking plants seem to blossom out of nowhere.  Clearly, the stunning display was hiding in place all along.  With the “magic” of time-lapse photography, we are given the rare opportunity to view the entire picture from start to finish.

Telepathology and whole slide imaging have become integrated into pathology laboratories worldwide. With applications in teaching and research well established, it is now recognized that digital pathology has a role in the clinical realm as well. 

Digital pathology provides clear advantages for pathologists’ quality assurance processes and performance evaluations as well as streamlined workflows for consultative expert collaborations and multi-disciplinary tumor boards. With the advancement of artificial intelligence and histopathology analytics, there is no limit to the application of digital techniques to the practice of pathology.

I’ve spent a lot of time in Starbucks, and over the years, it seems little has really changed with the basic operations. The line to the register is flanked by food options and souvenirs leading to someone who takes your order and your money (The Register). Your order moves to someone standing at the espresso machine (On Bar). Other Starbucks associates are simultaneously working the Drive-Thru customers (On Drive-Thru).

Another associate is grinding beans, ensuring the coffee urns are full, teas are brewed, cups, lids and cup protectors are in place, and coolers are well stocked with sandwiches, croissants and breakfast sandwiches (Customer Support).

So, who has the most important job at Starbucks? The Register? On Bar? On Drive-Thru? Customer Support?

My grandfather was born on Groundhog Day in 1915. If he had not passed away 10 years ago, he would have been 102 this year. Given what he ate, drank and smoked, it is a miracle he lived as long as he did. When I was about 8 or 9 years he told me to “Never bet against Notre Dame football, Joe Louis or the New York Yankees”. Today he would have to replace the entries on that list with, among others, the New England Patriots.

During this year’s game, how many people went to Netflix or their e-book reader half way through the third quarter? I tweeted that, apparently, the balls were harder to catch when fully inflated and “Go Patriots!”