The Road to Precision Medicine: Emergence of Molecular Imaging, Advances, and Artificial Intelligence Applicability

Abstract

Precision medicine represents a paradigm shift from empirical medicine in healthcare, moving away from the traditional “one-size-fits-all” model toward a more individualized approach tailored to each patient’s unique genetic, molecular, and environmental profile. Technological evolution in medical imaging en route to molecular imaging marks the dawn of a new era, from just seeing anatomy to visualizing the underlying cellular and molecular processes in living organisms, driven by advances in molecular biology, probe development, and imaging technology (positron emission tomography, single photon emission computed tomography, magnetic resonance imaging, computed tomography, ultrasound, optical, magnetic particle imaging, hybrid, microwave). Yet, this is only the beginning. Latest empirical evidence shows that artificial intelligence (AI) use promises even greater breakthroughs: faster discovery of next-generation radiopharmaceuticals, real-time treatment adaptation, and seamless integration of imaging with predictive analytics as well as wearable sensors, although with visible challenges that need to be addressed. The future looks positive, where AI-driven innovations will unlock deeper insights into disease, elevate individualized care, and redefine diagnostic-therapeutic frontiers.



Received: 4 January 2026 | Revised: 13 April 2026 | Accepted: 20 May 2026



Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.



Data Availability Statement

Data sharing is not applicable to this article as no new data were created or analyzed in this study.



Author Contribution Statement

Victor Chigbundu Nwaiwu: Conceptualization, Methodology, Software, Formal analysis, Investigation, Resources, Data curation, Writing – original draft, Visualization. Sreemoy Kanti Das: Validation, Writing – review & editing, Supervision, Project administration.