Machine learning is not science fiction—it’s impacting your business today. Yet, when you think about integrating this technology into your lab, you may have some concerns and questions: Can this technology do my job better than I can? Will my role be diminished? Will it eventually replace me as a pathologist?
These questions are common. But, the reality today is that machine learning cannot replace you or do your job better than you. Rather, it can support you in your role, to help you elevate the value you bring to your lab—and your institution—every day.
That’s why LabLeaders is dedicated to transforming your uncertainty into confidence. Here are our top three ways you can leverage machine learning to do more, in less time, with fewer resources.
Here are our top three tips to show how you can turn genetic testing from cost-prohibitive to cost-efficient.
One major advantage of machine learning is its ability to reduce the amount of routine and time-consuming tasks you need to perform. Take image analysis, for example. Looking through numerous slides for disease-related features can monopolize the time you could be using on higher-value tasks.
Machines quickly narrow down areas of interest and flag what you need to look at. This not only gives you a lot of your time back, it accelerates how quickly you can provide an accurate diagnosis and empowers you to take on a larger role in the treatment process.
Too often, multiple pathologists look at the exact same image. Each may see different areas of interest. The result: a potential clash of opinions. This can leave a much-needed diagnosis hanging in the balance while an agreed-upon conclusion is being made. The good news: Machine learning may help to minimize this subjective bias.
When machines pinpoint exactly which abnormalities are important to analyze, the chances of human variables getting in the way will significantly decrease. And, as algorithms become more sophisticated, you may be able to simply review a single area of interest. This can further improve the value you and your lab provide by:
Streamlining your workflow
Decreasing test results turnaround time
Delivering more accurate results
Driving optimized care plans
Informing a preventive approach to care
Decreasing costs while increasing revenue
Machine learning in pathology is still in the early stages of how it can be used. However, innovations in software platforms are opening unique opportunities.
Today’s most forward-thinking lab leaders aren’t just relying on existing technology, they’re taking an active role in advancing it. They’re taking the role of machines beyond simple image analysis to begin studying diseases in more depth.
Here’s where to start:
Today, you can have a role in enhancing machines’ performance, thereby enhancing their ability to support you.
New software platforms can:
The future of machine learning is bright—but what the future holds for the role of pathologists is even brighter. Machine learning exists not to take your role, but to elevate the valuable care you already provide.
Make the case to your management team for why you need machine learning:
With these benefits, you are free to step outside the lab and become an integral part of care teams like never before. Always remember,
A machine will never equal you. It will not outperform a well-trained pathologist, but it can help.
Chief Medical Officer of Advanced Pathology and Genomic Services
Invicro and Ambry Genetics, Konica Minolta Companies
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