Author

James Creeden

ORCID 0000-0001-5863-133XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Organism:human· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1 Assay:electronic health records· 1 Approach:machine learning (classical)· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Aroa SorianoiD· 2 shared Marcus OlivecronaiD· 2 shared Asbleidy Carolina TorresiD· 1 shared Lorena Valero‐ArreseiD· 1 shared Nuria BenaventiD· 1 shared Raquel HladuniD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Aroa SorianoORCID

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2 papers

Recent·Most cited

Genetic & Genomic MedicinemedRxivPreprintSep 11, 2026

Evaluation of AI-assisted summarisation of tertiary clinical genomics reports: results of the QNOMX-VHIR-CPSP-001 Phase 1 study

James Creeden, Marcus Olivecrona, Nuria Benavent…·Aroa Soriano

This study evaluates AI-generated summaries of pediatric cancer genomics reports, finding they are non-inferior to manual summaries in content and presentation.

DOI 10.64898/2026.09.10.26362656

humanwhole-genome sequencing

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Genetic & Genomic MedicinemedRxivPreprintJun 22, 2026

A blinded, counterbalanced rater design for evaluating AI-assisted summarisation of tertiary clinical genomics reports: methodology of the QNOMX-VHIR-CPSP-001 Phase 1 study

James Creeden, Marcus Olivecrona, Aroa Soriano

This paper describes a blinded, counterbalanced study design to evaluate AI-assisted summarisation of clinical genomics reports using a quality rubric and statistical models.

1 citation

humanelectronic health records

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