دورية أكاديمية
أعرض في EDS

Unlocking the potential of big data and AI in medicine: insights from biobanking.

التفاصيل البيبلوغرافية
العنوان: Unlocking the potential of big data and AI in medicine: insights from biobanking.
المؤلفون: Akyüz K; Department of ELSI Services and Research, BBMRI-ERIC, Graz, Austria., Cano Abadía M; Department of ELSI Services and Research, BBMRI-ERIC, Graz, Austria., Goisauf M; Department of ELSI Services and Research, BBMRI-ERIC, Graz, Austria., Mayrhofer MT; Department of ELSI Services and Research, BBMRI-ERIC, Graz, Austria.
المصدر: Frontiers in medicine [Front Med (Lausanne)] 2024 Jan 31; Vol. 11, pp. 1336588. Date of Electronic Publication: 2024 Jan 31 (Print Publication: 2024).
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE
أسماء مطبوعة: Original Publication: Lausanne, Switzerland : Frontiers Media S.A., [2014]-
مستخلص: Big data and artificial intelligence are key elements in the medical field as they are expected to improve accuracy and efficiency in diagnosis and treatment, particularly in identifying biomedically relevant patterns, facilitating progress towards individually tailored preventative and therapeutic interventions. These applications belong to current research practice that is data-intensive. While the combination of imaging, pathological, genomic, and clinical data is needed to train algorithms to realize the full potential of these technologies, biobanks often serve as crucial infrastructures for data-sharing and data flows. In this paper, we argue that the 'data turn' in the life sciences has increasingly re-structured major infrastructures, which often were created for biological samples and associated data, as predominantly data infrastructures. These have evolved and diversified over time in terms of tackling relevant issues such as harmonization and standardization, but also consent practices and risk assessment. In line with the datafication, an increased use of AI-based technologies marks the current developments at the forefront of the big data research in life science and medicine that engender new issues and concerns along with opportunities. At a time when secure health data environments, such as European Health Data Space, are in the making, we argue that such meta-infrastructures can benefit both from the experience and evolution of biobanking, but also the current state of affairs in AI in medicine, regarding good governance, the social aspects and practices, as well as critical thinking about data practices, which can contribute to trustworthiness of such meta-infrastructures.
Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
(Copyright © 2024 Akyüz, Cano Abadía, Goisauf and Mayrhofer.)
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فهرسة مساهمة: Keywords: European Health Data Space; artificial intelligence; big data; biobanks; infrastructures
تواريخ الأحداث: Date Created: 20240215 Latest Revision: 20240216
رمز التحديث: 20240216
مُعرف محوري في PubMed: PMC10864616
DOI: 10.3389/fmed.2024.1336588
PMID: 38357641
قاعدة البيانات: MEDLINE
الوصف
تدمد:2296-858X
DOI:10.3389/fmed.2024.1336588