Diagnosoi
Diagnosoi is a theoretical framework and term used to describe a class of diagnostic approaches that seek to identify the underlying causes of complex conditions by integrating multiple data sources and interpretive reasoning. The term, drawn from Greek roots meaning to discern, is used to denote a family of diagnostic methods rather than a single device or protocol.
Concept and scope: Diagnosoi combines data from clinical measurements, genomic information, imaging, patient-reported symptoms, and environmental
History and development: The term emerged in discussions of medical informatics and AI-assisted diagnostics in the
Applications: In medical contexts, Diagnosoi-inspired systems aim to improve accuracy for complex, multi-factor conditions such as
Limitations and critique: Critics raise concerns about data privacy, potential bias, and the risk of overreliance
See also: clinical decision support systems, multi-modal data fusion, explainable AI, diagnostic reasoning.