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Tag: histopathology

PathLAKE: Benefitting Pathologists with exemplary projects

David Snead is Consultant Histopathologist and Clinical lead for Coventry and Warwickshire Pathology Services (CWPS), a network of labs hosted by University Hospitals of Coventry and Warwickshire NHS Trust. As head of the UHCW Digital Pathology Centre of Excellence, he is now heavily involved in the Pathology image data Lake for Analytics, Knowledge, and Education (PathLAKE).

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The key blockers to the adoption of digital pathology

In the first part of this six-part blog series, we looked at the challenges facing the pathology department. The conversation then moved onto the key blockers standing in the way of the adoption of digital pathology.

If you weren’t able to make the panel discussion, you can watch the recording here.

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The challenges facing the pathology department

It was a pleasure to welcome key opinion leaders to a discussion on accelerating the impact of AI through 100% digitization of the pathology workflow. Chaired by Peter Hamilton, Head of Research at Philips Digital & Computational Pathology, barriers to adoption, what drives the need and how do we reap the benefits were all on the agenda.

If you weren’t able to make the panel discussion, this six-part blog series will uncover what was discussed. Alternatively, you can watch the recording here.

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Tuning Algorithms to the Histology Lab

The promise of an effective set of tools based on deep learning or other machine learning algorithms is the current buzz of the digital pathology markets. While the evolving tools, models and techniques are producing strongly positive results, there are still many factors which impact the utility and portability of models and tools being created across real-world data sets.

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Ten things you need to know about going 100% digital for primary histopathology diagnosis

Digital pathology is based on creating a digital replica of the glass slide, called whole slide image (WSI). This image is then viewed in a computer screen, which eliminates the need for using a microscope. Can you imagine working in a glassless environment, with better ergonomics and being able to immediately find the slide you need?

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Image Based Risk Assessment in Cancer

Pathologists identify and interpret the changes that characterise diseases in cells and tissues, both for the studying/understanding disease processes in general and obtaining clinically relevant information for individual patients. Historically, by examining biopsy specimens, pathologists identified whether a lesion was neoplastic, inflammatory, or some other broad category. As medicine evolved, the task evolved into identifying more specific classifications. For example, if it was not sufficient to make the diagnosis of cancer; it was necessary to identify the specific subtype and grade of cancer in order to inform treatment decisions that were becoming increasingly sophisticated.

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New Digital Pathology Strategies & Re-Imagined Diagnostic Services in the UK

An evaluation of the UK’s pathology capacity by Cancer Research UK (CRUK) has identified that over the next 5-10 years “there is likely to be a severe crisis.” The report highlights a 4.5% year-on-year increase in the number and complexity of histopathology requests since 2007/08; the majority of which are for the investigation of cancer.

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Artificial Intelligence – Influencing The Clinical Practice Of Pathologists

Artificial intelligence based applications are quickly improving and they are expected to be a game changer in many fields, including transportation and medicine.

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