publications

2022

1. Machine Learning for Health (ML4H) 2022

   Antonio Parziale, Monica Agrawal, Shengpu Tang, and 21 more authors

   In Proceedings of the Machine Learning for Health (ML4H) Symposium, Nov 2022

   The second Machine Learning for Health symposium, held both virtually and in-person on November 28, 2022, co-located with NeurIPS 2022.

2021

1. JOMS

   Machine Learning for Health Algorithm Auditing & Quality Control

   Schörverth et al. Oala

   Journal of Medical Systems, Nov 2021

   Abs DOI HTML

   Developers proposing new machine learning for health (ML4H) tools often pledge to match or even surpass the performance of existing tools, yet the reality is usually more complicated. Reliable deployment of ML4H to the real world is challenging as examples from diabetic retinopathy or Covid-19 screening show. We envision an integrated framework of algorithm auditing and quality control that provides a path towards the effective and reliable application of ML systems in healthcare. In this editorial, we give a summary of ongoing work towards that vision and announce a call for participation to the special issue Machine Learning for Health Algorithm Auditing & Quality Control in this journal to advance the practice of ML4H auditing.

2. TALK

   Prüfung von KI-Modellen in der Medizin

   Elora Schörverth

   Bundesverband Managed Care e.V., Nov 2021

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