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Artificial intellig...
Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists
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- Bulten, Wouter (author)
- Radboud Univ Nijmegen, Netherlands
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- Balkenhol, Maschenka (author)
- Radboud Univ Nijmegen, Netherlands
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- Belinga, Jean-Joel Awoumou (author)
- Univ Yaounde I, Cameroon
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- Brilhante, Americo (author)
- Salomao Zoppi Diagnost DASA, Brazil
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- Cakir, Asli (author)
- Istanbul Medipol Univ, Turkey
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- Egevad, Lars (author)
- Karolinska Institutet
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- Eklund, Martin (author)
- Karolinska Institutet
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- Farre, Xavier (author)
- Publ Hlth Agcy Catalonia, Spain
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- Geronatsiou, Katerina (author)
- Hop Diaconat Mulhouse, France
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- Molinie, Vincent (author)
- Aix en Provence Hosp, France
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- Pereira, Guilherme (author)
- Histo Patol Cirarg & Citol, Brazil
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- Roy, Paromita (author)
- Tata Med Ctr, India
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- Saile, Gunter (author)
- Abt Histopathol & Zytol, Switzerland
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- Salles, Paulo (author)
- Inst Mario Penna, Brazil
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- Schaafsma, Ewout (author)
- Radboud Univ Nijmegen, Netherlands
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- Tschui, Joelle (author)
- Med Pathol, Switzerland
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- Vos, Anne-Marie (author)
- Radboud Univ Nijmegen, Netherlands
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- van Boven, Hester (author)
- Antoni van Leeuwenhoek Hosp, Netherlands
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- Vink, Robert (author)
- Lab Pathol East Netherlands, Netherlands
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- van der Laak, Jeroen (author)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Region Östergötland, Klinisk patologi,Radboud Univ Nijmegen, Netherlands
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- Hulsbergen-van der Kaa, Christina (author)
- Lab Pathol East Netherlands, Netherlands
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- Litjens, Geert (author)
- Radboud Univ Nijmegen, Netherlands
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(creator_code:org_t)
- NATURE PUBLISHING GROUP, 2021
- 2021
- English.
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In: Modern Pathology. - : NATURE PUBLISHING GROUP. - 0893-3952 .- 1530-0285. ; 34, s. 660-671
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https://www.nature.c...
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https://doi.org/10.1...
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Abstract
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- The Gleason score is the most important prognostic marker for prostate cancer patients, but it suffers from significant observer variability. Artificial intelligence (AI) systems based on deep learning can achieve pathologist-level performance at Gleason grading. However, the performance of such systems can degrade in the presence of artifacts, foreign tissue, or other anomalies. Pathologists integrating their expertise with feedback from an AI system could result in a synergy that outperforms both the individual pathologist and the system. Despite the hype around AI assistance, existing literature on this topic within the pathology domain is limited. We investigated the value of AI assistance for grading prostate biopsies. A panel of 14 observers graded 160 biopsies with and without AI assistance. Using AI, the agreement of the panel with an expert reference standard increased significantly (quadratically weighted Cohens kappa, 0.799 vs. 0.872;p = 0.019). On an external validation set of 87 cases, the panel showed a significant increase in agreement with a panel of international experts in prostate pathology (quadratically weighted Cohens kappa, 0.733 vs. 0.786;p = 0.003). In both experiments, on a group-level, AI-assisted pathologists outperformed the unassisted pathologists and the standalone AI system. Our results show the potential of AI systems for Gleason grading, but more importantly, show the benefits of pathologist-AI synergy.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Publication and Content Type
- ref (subject category)
- art (subject category)
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To the university's database
- By the author/editor
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Bulten, Wouter
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Balkenhol, Masch ...
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Belinga, Jean-Jo ...
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Brilhante, Ameri ...
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Cakir, Asli
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Egevad, Lars
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Eklund, Martin
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Farre, Xavier
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Geronatsiou, Kat ...
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Molinie, Vincent
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Pereira, Guilher ...
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Roy, Paromita
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Saile, Gunter
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Salles, Paulo
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Schaafsma, Ewout
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Tschui, Joelle
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Vos, Anne-Marie
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van Boven, Heste ...
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Vink, Robert
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van der Laak, Je ...
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Hulsbergen-van d ...
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Litjens, Geert
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Cancer and Oncol ...
- Articles in the publication
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Modern Pathology
- By the university
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Linköping University
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Karolinska Institutet