Understanding the Minimal Clinically Viable Solutions for Disease Diagnosis and Prognosis via the Integration of AI-Powered Intelligent Systems

Abstract

This chapter explores the transformative impact of artificial intelligence (AI) on healthcare, with a focus on illness diagnosis and prognosis, led by Luca Parisi's pioneering research. Parisi advocates for developing clinically viable solutions for diseases, integrating machine learning (ML) and evolutionary algorithms to improve clinical decision support systems (CDSS). Emphasis is placed on interpretability and trustworthiness. The research underscores AI's potential to revolutionize clinical decision-making, enhancing patient care and outcomes. It contributes to advancing green AI-powered intelligent systems for disease prognosis, filling literature gaps and promoting minimal clinically viable solutions to enrich clinical efficacy.