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Biomedical Big Data: Opportunities and Challenges (Overview)

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Clinical Applications of Artificial Intelligence in Real-World Data

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Abstract

Artificial Intelligence (AI) in medicine stands at the cusp of revolutionizing clinician reasoning and decision-making. Since its foundational years in the mid-20th century, the progression of medical AI has seen considerable advancements, concurrently grappling with various challenges. Early attempts of AI showcased immense potential, yet faced hurdles from data integration to machine-driven clinical decisions. Modern deep learning neural networks, particularly in image analysis, represent promising advancements. Ensuring the trustworthiness of AI systems is paramount for stakeholders to fully embrace its potential in healthcare. To safeguard patient care and guarantee effective outcomes, a rigorous evaluation of AI applications is essential before wide-scale adoption. This textbook illuminates the multifaceted journey of AI in healthcare, emphasizing its challenges, opportunities, and the pressing need for a rigorous, informed evaluation to ensure AI’s responsible and impactful integration.

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Authors and Affiliations

  1. Department of Cardiology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands

    Folkert W. Asselbergs

  2. Health Data Research UK and Institute of Health Informatics, University College London, London, UK

    Folkert W. Asselbergs & Spiros Denaxas

  3. Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA, USA

    Jason H. Moore

Authors
  1. Folkert W. Asselbergs
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  2. Spiros Denaxas
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  3. Jason H. Moore
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Corresponding author

Correspondence to Folkert W. Asselbergs .

Editor information

Editors and Affiliations

  1. Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands

    Folkert W. Asselbergs

  2. Institute of Health Informatics, University College London, London, UK

    Spiros Denaxas

  3. Department of Data Science and Biostatistics, University Medical Center Utrecht (UMCU), Utrecht, The Netherlands

    Daniel L. Oberski

  4. Cedars-Sinai Medical Center, Los Angeles, CA, USA

    Jason H. Moore

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Asselbergs, F.W., Denaxas, S., Moore, J.H. (2023). Biomedical Big Data: Opportunities and Challenges (Overview). In: Asselbergs, F.W., Denaxas, S., Oberski, D.L., Moore, J.H. (eds) Clinical Applications of Artificial Intelligence in Real-World Data. Springer, Cham. https://doi.org/10.1007/978-3-031-36678-9_1

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  • DOI: https://doi.org/10.1007/978-3-031-36678-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36677-2

  • Online ISBN: 978-3-031-36678-9

  • eBook Packages: MedicineMedicine (R0)

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