mlsanityData to 7 Oct 2026

Artificial Intelligence in Healthcare: Lost In Translation?

arXiv 2107.13454 ↗First posted 28 Jul 2021cs.AIcited by 2

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Abstract (arXiv)

Artificial intelligence (AI) in healthcare is a potentially revolutionary tool to achieve improved healthcare outcomes while reducing overall health costs. While many exploratory results hit the headlines in recent years there are only few certified and even fewer clinically validated products available in the clinical setting. This is a clear indication of failing translation due to shortcomings of the current approach to AI in healthcare. In this work, we highlight the major areas, where we observe current challenges for translation in AI in healthcare, namely precision medicine, reproducible science, data issues and algorithms, causality, and product development. For each field, we outline possible solutions for these challenges. Our work will lead to improved translation of AI in healthcare products into the clinical setting

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 12 of its 76 references that are in the map. First posted on arXiv 28 Jul 2021.

Builds on

12 of 76 references.

References · 12

  1. 2016Understanding deep learning requires rethinking generalizationcited by 1,657
  2. 2019Federated Learning: Challenges, Methods, and Future Directionscited by 1,531
  3. 2018Model Cards for Model Reportingcited by 1,068
  4. 2018The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networkscited by 847
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  7. 2019Reproducibility in Machine Learning for Healthcited by 24
  8. 2016Missing Data Imputation for Supervised Learningcited by 5
  9. 2020From Bit To Bedside: A Practical Framework For Artificial Intelligence Product Development In Healthcarecited by 5
  10. 2016Classical Statistics and Statistical Learning in Imaging Neurosciencecited by 3
  11. 2019Opportunities for artificial intelligence in advancing precision medicinecited by 2
  12. 2020OnRAMP for Regulating AI in Medical Productscited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 2.

2 papers.

  1. 2026From Siloed Algorithms to Compliance-First Agentic Platforms: A Multi-Layered Architecture for Hospital AI Systemscited by 1
  2. 2026Rethinking Artificial Intelligence in Medical Imaging: Assumptions, Reality, and Reframingcited by 0