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Thematic Research Network HI4AI – Human intelligence for artificial intelligence in medicine

Summary

In medicine, digital twins are widely taken to embody virtual representations of patients based on health and environmental data. Digital patient twins are intended to model individual and population behavior with the purpose of improving health care by artificial intelligence (AI). No comparable attempt has, however, yet been reported to also formalize clinical decision-making itself, starting with a virtual representation of the cognitive process of clinical thinking. In extension of the above concept, a digital physician twin is key to effective clinical guidance by AI. 

The Thematic Research Network (TRN) HI4AI in medicine thus brings together experts from medicine, machine learning, and psychology to generate new insights into clinical thinking and, thereby, improve AI for clinical practice.

graphic description of the TRN HI4AI: starting on the left side with icons representing clinical learning&training arrows point to the right to a clinician with the attributes “experience, expertise, responsibility”. Here, a green arrow goes from the clinician via “data, rules, ground truth, reasoning strategies” to machine learning&training. On the right side there is a digital clinician twin that has a blue arrow pointing back to the clinician via “support of cognitive control + clinical reasoning”

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