mlsanityData to 14 Oct 2026

Active Informed Consent to Boost the Application of Machine Learning in Medicine

arXiv 2210.08987 ↗First posted 27 Sep 2022cs.CY cs.AI cs.LGcited by 0

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Abstract (arXiv)

Machine Learning may push research in precision medicine to unprecedented heights. To succeed, machine learning needs a large amount of data, often including personal data. Therefore, machine learning applied to precision medicine is on a cliff edge: if it does not learn to fly, it will deeply fall down. In this paper, we present Active Informed Consent (AIC) as a novel hybrid legal-technological tool to foster the gathering of a large amount of data for machine learning. We carefully analyzed the compliance of this technological tool to the legal intricacies protecting the privacy of European Citizens.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 33 references that are in the map. First posted on arXiv 27 Sep 2022.

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3 of 33 references.

References · 3

  1. 2017Human-in-the-loop Artificial Intelligencecited by 40
  2. 2018A Gentle Introduction to Deep Learning in Medical Image Processingcited by 34
  3. 2019Radiological images and machine learning: trends, perspectives, and prospectscited by 5

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