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Data · dataset · 2026

Assessing medical liability arising from the use of artificial intelligence: systematic review – full-text assessment and data extraction table

Listed in Debreceni Egyetem Adattár

This dataset contains the full-text assessment and data extraction table for the systematic review titled “Assessing medical liability arising from the use of artificial intelligence: systematic review”.

Description

The Excel file includes all publications selected for full-text reading and eligibility assessment after the initial screening process. Based on the predefined inclusion and exclusion criteria, 33 publications met the eligibility criteria and were included in the final review.

The table records bibliographic, methodological, legal, ethical and thematic information extracted from the assessed publications. It focuses on medical liability arising from the use of artificial intelligence in healthcare, including liability issues, responsibility gaps, legal and regulatory considerations, ethical aspects, patient safety, trust, transparency and explainability. The dataset supports the documentation, synthesis and interpretation of the literature assessed for the systematic review.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Tabular 65%
Provenance · 1 source records, 21 field assertions
SourceKeyLast seenRaw
Debreceni Egyetem Adattárdoi:10.48428/ADATTAR/MXG7KG4 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:480412mapping · adattar unideb huvocabulary-mapper@1.0.0keywords['Health law']
concepts[field].anzsrc:field:500106mapping · adattar unideb huvocabulary-mapper@1.0.0keywords['Medical ethics']
concepts[field].anzsrc:group:4602mapping · adattar unideb huvocabulary-mapper@1.0.0keywords['Artificial intelligence']
concepts[field].dataverse_subject:business-and-managementsource · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[field].dataverse_subject:lawsource · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[field].dataverse_subject:medicine-health-and-life-sciencessource · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[field].dataverse_subject:social-sciencessource · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[field].local:field:economics-financemapping · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[field].local:field:engineeringmapping · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[field].local:field:humanitiesmapping · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[field].local:field:medicine-healthmapping · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[field].local:field:social-sciencemapping · adattar unideb huconnector:adattar_unideb_hu@1.0.0/subjects
concepts[modality].local:modality:tabularenrichment · adattar unideb hukeyword-concept-rules@1.0.0title+description (65%)
created_datesource · adattar unideb huconnector:adattar_unideb_hu@1.0.0
descriptionsource · adattar unideb huconnector:adattar_unideb_hu@1.0.0/description
publication_datesource · adattar unideb huconnector:adattar_unideb_hu@1.0.0
titlesource · adattar unideb huconnector:adattar_unideb_hu@1.0.0/name
updated_datesource · adattar unideb huconnector:adattar_unideb_hu@1.0.0
version_labelsource · adattar unideb huconnector:adattar_unideb_hu@1.0.0