{
  "id": 8619,
  "url": "https://doi.org/10.1038/s41598-019-38748-8",
  "title": "Explaining the unique nature of individual gait patterns with deep learning",
  "summary": "Machine learning (ML) techniques such as (deep) artificial neural networks (DNN) are solving very successfully a plethora of tasks and provide new predictive models for complex physical, chemical, biological and social systems. However, in most cases this comes with the disadvantage of acting as a black box, rarely providing information about what made them arrive at a particular prediction. This black box aspect of ML techniques can be problematic especially in medical diagnoses, so far hamperi",
  "authors": "Fabian Horst, Sebastian Lapuschkin, Wojciech Samek, Klaus-Robert Müller, Wolfgang I. Schöllhorn",
  "category": "research",
  "topics": "healthcare,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2019-02-20T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:39.876Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8619",
  "original_url": "https://doi.org/10.1038/s41598-019-38748-8",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}