Cargando…

Reporting of Artificial Intelligence Diagnostic Accuracy Studies in Pathology Abstracts: Compliance with STARD for Abstracts Guidelines

Artificial intelligence (AI) research is transforming the range tools and technologies available to pathologists, leading to potentially faster, personalized and more accurate diagnoses for patients. However, to see the use of tools for patient benefit and achieve this safely, the implementation of...

Descripción completa

Detalles Bibliográficos
Autores principales:	McGenity, Clare, Bossuyt, Patrick, Treanor, Darren
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2022
Materias:	Original Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576989/ https://www.ncbi.nlm.nih.gov/pubmed/36268103 http://dx.doi.org/10.1016/j.jpi.2022.100091

Ejemplares similares

Artificial intelligence abstracts from the European Congress of Radiology: analysis of topics and compliance with the STARD for abstracts checklist
por: Dratsch, Thomas, et al.
Publicado: (2020)

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol
por: Sounderajah, Viknesh, et al.
Publicado: (2021)

STARD 2015 guidelines for reporting diagnostic accuracy studies: explanation and elaboration
por: Cohen, Jérémie F, et al.
Publicado: (2016)

Updating standards for reporting diagnostic accuracy: the development of STARD 2015
por: Korevaar, Daniël A., et al.
Publicado: (2016)

Reproducibility of the STARD checklist: an instrument to assess the quality of reporting of diagnostic accuracy studies
por: Smidt, Nynke, et al.
Publicado: (2006)

STARD 2015: an updated list of essential items for reporting diagnostic accuracy studies
por: Bossuyt, Patrick M, et al.
Publicado: (2015)

Adherence to the Standards for Reporting of Diagnostic Accuracy Studies (STARD): a survey of four journals in laboratory medicine
por: Zheng, Fei-Fei, et al.
Publicado: (2021)

Evaluation of Diagnostic Strategies for Identifying SARS-CoV-2 Infection in Clinical Practice: a Systematic Review and Compliance with the Standards for Reporting Diagnostic Accuracy Studies Guideline (STARD)
por: Cremades-Martínez, Paula, et al.
Publicado: (2022)

Adherence to the Standards for Reporting of Diagnostic Accuracy (STARD) 2015 Guidelines in Acute Point-of-Care Ultrasound Research
por: Prager, Ross, et al.
Publicado: (2020)

Evaluation of cytological diagnostic accuracy for canine splenic neoplasms: An investigation in 78 cases using STARD guidelines
por: Tecilla, Marco, et al.
Publicado: (2019)

Abstract: Diagnostic Accuracy of Lymphoscintigraphy for Lymphedema
por: Hassanein, Aladdin H., et al.
Publicado: (2016)

Improved pathology reporting in NAFLD/NASH for clinical trials
por: Langford, Caitlin Rose, et al.
Publicado: (2022)

The ethical challenges of artificial intelligence‐driven digital pathology
por: McKay, Francis, et al.
Publicado: (2022)

Abstract: Determining Facial Beauty Using Artificial Intelligence
por: Mahmood, Eitezaz, et al.
Publicado: (2018)

Emotions as Abstract Evaluation Criteria in Biological and Artificial Intelligences
por: Gros, Claudius
Publicado: (2021)

PRISMA-DTA for Abstracts: a new addition to the toolbox for test accuracy research
por: Korevaar, Daniël A., et al.
Publicado: (2021)

How, for whom, and in what contexts will artificial intelligence be adopted in pathology? A realist interview study
por: King, Henry, et al.
Publicado: (2022)

Diagnostic accuracy research in glaucoma is still incompletely reported: An application of Standards for Reporting of Diagnostic Accuracy Studies (STARD) 2015
por: Michelessi, Manuele, et al.
Publicado: (2017)

Reporting Quality of Diagnostic Accuracy Studies in Laboratory Medicine: Adherence to Standards for Reporting of Diagnostic Accuracy Studies (STARD) 2015
por: Jang, Mi-Ae, et al.
Publicado: (2020)

Artificial intelligence in diagnostic pathology
por: Shafi, Saba, et al.
Publicado: (2023)

Preferred reporting items for journal and conference abstracts of systematic reviews and meta-analyses of diagnostic test accuracy studies (PRISMA-DTA for Abstracts): checklist, explanation, and elaboration
por: Cohen, Jérémie F, et al.
Publicado: (2021)

Does the Reporting Quality of Diagnostic Test Accuracy Studies, as Defined by STARD 2015, Affect Citation?
por: Choi, Young Jun, et al.
Publicado: (2016)

Has the STARD statement improved the quality of reporting of diagnostic accuracy studies published in European Radiology?
por: Stahl, Ann-Christine, et al.
Publicado: (2022)

What Works Where and How for Uptake and Impact of Artificial Intelligence in Pathology: Review of Theories for a Realist Evaluation
por: King, Henry, et al.
Publicado: (2023)

Improving accessibility of scientific research by artificial intelligence—An example for lay abstract generation
por: Schmitz, Boris
Publicado: (2023)

Quality and Reporting of Diagnostic Accuracy Studies in TB, HIV and Malaria: Evaluation Using QUADAS and STARD Standards
por: Fontela, Patricia Scolari, et al.
Publicado: (2009)

Quality of reporting in cardiac MRI, CT and SPECT diagnostic accuracy studies: Analysis of the impact of STARD criteria
por: Maclean, Edd N, et al.
Publicado: (2013)

Abstracts: Pathology Informatics 2012
Publicado: (2012)

Abstracts: Pathology Informatics 2012
Publicado: (2012)

Abstracts: Pathology Informatics 2012
Publicado: (2012)

Abstracts: Pathology Informatics 2012
Publicado: (2012)

Abstracts: Pathology Informatics 2012
Publicado: (2012)

Abstracts: Pathology Informatics 2012
Publicado: (2012)

Abstracts: Pathology Informatics 2012
Publicado: (2012)

Abstracts: Pathology Informatics 2012
Publicado: (2012)

Abstracts: Pathology Informatics 2012
Publicado: (2012)

Abstracts: Pathology Informatics 2012
Publicado: (2012)

The Pathology of Carcinoma: Abstract of Paper
por: Coe, H. C.
Publicado: (1893)

Abstract 130: Emotional Evaluation of Outcomes in Facial Reanimation Surgery Using Artificial Intelligence
por: Boonipat, Thanapoom, et al.
Publicado: (2019)

Guidance for using artificial intelligence for title and abstract screening while conducting knowledge syntheses
por: Hamel, Candyce, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_oj4mjh7tfqqmnmn30t218dhkma