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The Best of Digital Pathology in 2017

It is that time of the year to celebrate the most significant breakthroughs and accomplishments in the field of digital pathology. 2017 has been an exciting year with Philips receiving FDA approval to market their IntelliSite Pathology Solution for primary diagnostic use in the US. According to Russ Granzow, General Manager of Philips Digital Pathology Solutions, ‘not only will it promote increased efficiencies and collaboration between pathologists, but it also opens a completely new dimension towards computational pathology which aims to increase accuracies and ultimately enhance patient care.’ This is a huge step forward in the advancement of digital pathology.

2017 has also seen the progression of whole slide imaging devices which is said to revolutionise the profession and the expansion of artificial intelligence. Check out the most talked about blogs and the exciting breakthroughs this year.

  1. Histopathology Using Artificial IntelligenceDigipath17 1

    Over the last decade, computerised methods have rapidly evolved in digital pathology, with growing applications in research, consultations, quality assurance and as part of workflow improvements in laboratories. More recently, whole slide imaging is being explored through the ever-expanding field of machine learning and artificial intelligence.

    Read the full article

  2. Digital Pathology and Artificial Intelligence in the Precision Medicine EraDigipath17 2

    In 2017, technological advances in cloud computing and artificial intelligence has pathology positioned to become one of the most talked about medical fields in healthcare. Here, George Lee from Digital Pathology Informatics looks at pathologists involvement in precision medicine and digital technology for improving patient care.

    Read the full article

  3. The FDA Approval and Machine Learning in Pathology

    Perhaps the biggest breakthrough in 2017 was the FDA approval of digital pathology for primary diagnosis. With European labs performing the majority of their review digitally, the digitization of pathology has sped up and is now in many labs’ plans. Here, Simon Häger looks at the effect of implementing machine learning in pathology operations.

    Read the full article

  4. Whole Slide Imaging DevicesDigipath17 4.png

    As digital pathology has continued to expand in 2017 the routine use of whole slide imaging, pathology slide scanners are becoming more common. In this article, Dr. Tuthill explores whether high volume whole slide imaging can be hostage to bottlenecks that will limit throughput.

    Read the full article

  5. Keith Kaplan and the Future of Digital PathologyDigipath17 5.png

    Keith Kaplan, practising pathologist and the author of the Digital Pathology Blog, discusses the challenges faced in 2017 and what can be expected for digital pathology in 2018.

    Read the full article

We can only expect more exciting breakthroughs in 2018. Watch this space for the latest digital pathology news.

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