Precision Healthcare: The Convergence of Human Expertise and Artificial Intelligence in Personalized Medicine

Abstract

This article explores the transformative confluence of mortal moxie and artificial intelligence in advancing individualized drugs. It examines the paradigm shift from formalized to perfection healthcare, pressing AI's part in assessing complex genomic data, prognosticating treatment responses, and optimizing remedial interventions. The article shows computational approaches to inheritable analysis, illustrating how machine literacy enhances mutation identification and threat assessment across medical specialties. It shows prophetic analytics in treatment selection, demonstrating how AI integrates multi-modal case data to produce substantiated remedial strategies and dosing rules. The article develops a cooperative frame for mortal-AI commerce in clinical settings, balancing technological capabilities with clinician moxie while addressing ethical considerations in participatory decision-making. Eventually, it discusses perpetration challenges, including evolving nonsupervisory geographies, structural conditions, and the educational requirements of healthcare professionals, furnishing a comprehensive examination of how mortal-AI hookups are reshaping healthcare delivery toward more precise, effective, and case-centered approaches.