Are the European reference networks for rare diseases ready to embrace machine learning? A mixed-methods study.

Journal Information

Full Title: Orphanet J Rare Dis

Abbreviation: Orphanet J Rare Dis

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Medicine

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Declarations Ethics approval and consent to participateApproval by an Ethics committee was not required for this research. The survey and the focus group discussion were sociological from a methodological point of view, with no clinical research. Survey participants provided electronic consent after reading the study’s description and before launching the online questionnaire. Focus group participants provided informed consent for audio-visual recording and transcription before the meeting. Consent for publicationNot applicable. Competing interestsThe authors declare that they have no competing interests. Competing interests The authors declare that they have no competing interests."

Evidence found in paper:

"Funding Screen4Care project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under Grant Agreement No. 101034427. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA."

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Open Access
Paper is freely available to read
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Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025