Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Integrated Diagnostics: The Future of Diagnostic Medicine?
3
Zitationen
2
Autoren
2023
Jahr
Abstract
Abstract Recent progress in diagnostic testing could enable more accurate diagnosis and improved clinical outcomes. However, diagnostic data are fragmented, being produced and delivered within the “silo” of each diagnostic discipline, and the electronic health record does little to synthesize existing data to be translated into usable and actionable information. Therefore, despite great promise, diagnoses may still be incorrect, delayed, or never made. Integrated diagnostics represents a vision for the future, wherein laboratory, pathology and imaging data, together with clinical information, are aggregated to support through expert systems, algorithms based on machine learning and artificial intelligence the provision to clinicians of a more actionable diagnostic information. The possible convergence of laboratory, pathology, and imaging test results within the same medical report is, therefore, a valuable goal to foster earlier and more accurate diagnoses, and personalized medicine.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.393 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.259 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.688 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.502 Zit.