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Digital Pathology

Saving Money with the Foldscope in Digital Pathology

At the recent Digital Pathology and AI Congress, Rebecca Calder and Daniel Stevens presented their research in the poster entitled: Preliminary Studies in the Use of the Foldscope Paper Microscope for Diagnostic Analysis of Crystals in Urine: Issues in the Analysis of Liquid Samples and Potential Applications in Low Budget/Low Tech Regions of the World. You can view the poster here.

Dr. Zev Leifer, who oversaw the project, describes the rationale.

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The 7 Steps to Digital Pathology

“There’s nothing wrong with the microscope.”

“Our Information Systems won’t integrate with other technology.”

“Change is hard.”

These are a couple of the concerns pathologists have about digital pathology. But as they learn more, pathologists are finding that their apprehension about going digital is holding them back from reaping significant benefits. They are also discovering that old methods can’t compete against today’s digital solutions.

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Truth and Fictions, Stances and Beliefs about Artificial Intelligence

At the Digital Pathology and AI Conference in New York City, it was interesting to consider the different beliefs represented about Artificial Intelligence.

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Distinction of Benign and Malignant Lesions through Deep Learning

Machine learning is already prevalent in many industries and most pathologists are unaware how accessible machine learning is and how it can be used to augment their work or research. Applications include decision support, image analytics, process improvement, disease diagnosis and prognosis.

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Game Winning Hits: Singles or Home Runs?

To use a baseball analogy – there have been more games won with singles than with home runs. Home runs, when they happen, are spectacular, but they are few and far between. The journeyman single, while not the stuff of legend, gets the job done, and happens frequently. When it comes to the practical application of artificial intelligence in digital pathology, the analogy holds. The home run is machine diagnosis – replacement of the pathologist – the holy grail. The single represents baby steps which improve pathology practice, right up until the technology reaches its inevitable maturity.

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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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The Optimization of Digital Pathology Technology: An Open Letter from Yukako Yagi

Dear Colleagues,

As the field of digital pathology continues to evolve, we are discovering new and exciting ways to use and apply the technology. Digital Pathology is entering a new era, revealing an unprecedented breadth and depth of information for cancer research and diagnosis. Whole slide imaging (WSI) will take an important role in the development of future technologies, imaging modalities and systems, and impact clinical workflows, yielding a comprehensive multi-dimensional analysis that would otherwise be impossible!

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Effective Implementation & Utilisation of Diagnostic Technology in the NHS

An inquiry by the House of Lords’ Science & Technology Committee has identified several issues that could hamper the delivery of the Life Sciences Industrial Strategy vision1. The critical report (Life Sciences Industrial Strategy: Who’s driving the bus? 1) brings together evidence from industry, academia and the NHS. It highlights several implementation challenges which require “prompt and vigorous action by the government” to ensure that the scope of Life Sciences Industrial Strategy can be achieved.

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