Artificial Intelligence For 6P Medicine: Consolidating AI Needs of Predictive, Preventive, Personalized, Participatory, Precision, and Public Health Trajectories

Abstract

<title>Abstract</title> Artificial intelligence (AI) is poised to transform healthcare through the lens of 6P medicine: personalized, predictive, preventive, participatory, precision, and public health. This review explores how AI technologies contribute to these six crucial dimensions, offering powerful solutions for enhanced early disease detection, tailored treatment protocols, proactive preventive health measures, and significantly improved patient engagement in their care journey.Our findings highlight AI's immense potential in revolutionizing diagnostics by enabling more accurate and rapid analyses, as well as strengthening public health surveillance capabilities. However, successful and responsible implementation hinges on rigorously addressing crucial cross-cutting challenges such as ensuring data quality, safeguarding patient privacy, navigating complex ethical considerations, seamless system integration, and fostering model interpretability. Aligning AI applications with evolving regulatory frameworks, such as the European Health Data Space (EHDS) and the AI Act, is absolutely essential to accelerate the ethical and effective adoption of 6P medicine. Ultimately, interdisciplinary collaboration among clinicians, technologists, and policymakers is key to unlocking AI's full power to improve patient outcomes and overall healthcare operational efficiency.

Ähnliche Arbeiten