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Tag: artificial intelligence

Bridging the gap between pathologist and algorithm

Could AI replace pathologists? As we look forward to the 6th Digital Pathology and AI Congress: Europe on the 5th – 6th December 2019, we look back at Dr Hamid Tizhoosh’s keynote presentation from last year.

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Pixel analysis: the new era of digital pathology

Professor David Snead is leading the implementation of digital pathology for Coventry and Warwickshire Pathology Services and directs one of the five Government funded centres in the UK pioneering AI and image diagnostics integration. His main research interests lie in extending the capability of digital pathology for routine diagnostic use and the advancement and deployment of computer assisted diagnostic algorithms. In this third highlight from the conference we revisit Professor Snead’s presentation to get a clinical perspective on how deep learning and artificial intelligence (AI) are set to play an increasing role in daily practice.

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Unleashing the power of digital pathology and AI for precision medicine

We’re looking back at the highlights from the Digital Pathology and AI meeting in 2018 as we anticipate this year’s Digital Pathology and AI Congress in December. This second post in our mini-series reviews Marylin Bui’s keynote presentation where she explained how the combination of Digital Pathology and Artificial Intelligence (AI) holds huge potential for patient care.

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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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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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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 Future of Personalised Medicine, Companion Diagnostics & AI

It was a pleasure to welcome back Miro Venturi to the Global Precision & Biomarkers Leaders Summit, our keynote speaker who spoke on the future of personalised medicine and the interplay of diseases, information and technologies. After his presentation, we sat down with him to get more of an insight into his thoughts on the future.

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