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Reproducible Report...
Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models
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- Elfer, Katherine (författare)
- United States Food and Drug Administration,National Institutes of Health, United States
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- Gardecki, Emma (författare)
- United States Food and Drug Administration
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- Garcia, Victor (författare)
- United States Food and Drug Administration
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- Ly, Amy (författare)
- Massachusetts General Hospital
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- Hytopoulos, Evangelos (författare)
- iRhythm Technologies Inc.
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- Wen, Si (författare)
- United States Food and Drug Administration
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- Hanna, Matthew G (författare)
- Memorial Sloan-Kettering Cancer Center
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- Peeters, Dieter Je (författare)
- Antwerp University Hospital,University of Antwerp,Sint-Maarten Hospital
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- Saltz, Joel (författare)
- Stony Brook University
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- Ehinger, Anna (författare)
- Lund University,Lunds universitet,LUCC: Lunds universitets cancercentrum,Övriga starka forskningsmiljöer,Patologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,LUCC: Lund University Cancer Centre,Other Strong Research Environments,Pathology, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine
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- Dudgeon, Sarah N (författare)
- Yale University School of Medicine
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- Li, Xiaoxian (författare)
- Emory University
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- Blenman, Kim Rm (författare)
- Yale University
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- Chen, Weijie (författare)
- United States Food and Drug Administration
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- Green, Ursula (författare)
- Emory University
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- Birmingham, Ryan (författare)
- Emory University
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- Pan, Tony (författare)
- Emory University
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- Lennerz, Jochen K (författare)
- Harvard Medical School
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- Salgado, Roberto (författare)
- Peter MacCallum Cancer Centre,Ziekenhuis Netwerk Antwerpen (ZNA)
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- Gallas, Brandon D (författare)
- United States Food and Drug Administration
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(creator_code:org_t)
- 2024
- 2024
- Engelska.
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Ingår i: Modern Pathology : an official journal of the United States and Canadian Academy of Pathology, Inc. - 1530-0285. ; 37:4
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http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
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Abstract
Ämnesord
Stäng
- This work advances and demonstrates the utility of a reporting framework for collecting and evaluating annotations of medical images used for training and testing artificial intelligence (AI) models in assisting detection and diagnosis. AI has unique reporting requirements, as shown by the AI extensions to the CONSORT (Consolidated Standards of Reporting Trials) and SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) checklists and the proposed AI extensions to the STARD (Standards for Reporting Diagnostic Accuracy) and TRIPOD (Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) checklists. AI for detection and/or diagnostic image analysis requires complete, reproducible, and transparent reporting of the annotations and metadata used in training and testing datasets. Prior work by Wahab et al. proposed an annotation workflow and quality checklist for computational pathology annotations. In this manuscript, we operationalize this workflow into an evaluable quality checklist that applies to any reader-interpreted medical images, and we demonstrate its use for an annotation effort in digital pathology. We refer to this quality framework as CLEARR-AI: The Collection and Evaluation of Annotations for Reproducible Reporting of Artificial Intelligence.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Elfer, Katherine
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Gardecki, Emma
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Garcia, Victor
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Ly, Amy
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Hytopoulos, Evan ...
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Wen, Si
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visa fler...
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Hanna, Matthew G
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Peeters, Dieter ...
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Saltz, Joel
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Ehinger, Anna
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Dudgeon, Sarah N
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Li, Xiaoxian
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Blenman, Kim Rm
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Chen, Weijie
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Green, Ursula
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Birmingham, Ryan
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Pan, Tony
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Lennerz, Jochen ...
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Salgado, Roberto
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Gallas, Brandon ...
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visa färre...
- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Cancer och onkol ...
- Artiklar i publikationen
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Modern Pathology ...
- Av lärosätet
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Lunds universitet