The Convergence of Artificial Intelligence and Precision Medicine: Curative Paradigms and the Horizon of Human Longevity

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Authors: Raabiya Begum
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Abstract

Artificial Intelligence (AI) has become indispensable in medicine by addressing critical challenges such as diagnostic errors, prolonged drug development timelines, rising healthcare costs, and global workforce shortages.As of December 31, 2025, the global AI in healthcare market is valued at approximately $36.96-39.25 billion and is projected to reach $504-613 billion by 2032-2034, with CAGRs ranging from 36.8% to 44.0% (Fortune Business Insights, Markets and Markets, Precedence Research) .This explosive growth reflects AI's evolution from early expert systems to today's generative and agentic models that enable personalized treatments, accelerated drug discovery, and predictive analytics.This paper elaborates on AI's necessity, detailed historical evolution, key applications with realworld success cases (including 2025 breakthroughs in cancer diagnostics and fibrosis drugs), major changes in cures, areas for improvement (bias, privacy, ethics), and future expectations, supported by statistics, tables, and recent examples. Introduction: Why AI in Medicine Was Necessary and How It EvolvedHealthcare systems worldwide face unprecedented pressures from multiple interconnected factors.Below is a detailed elaboration on each key element mentioned, supported by the most recent and reliable statistics available as of December 31, 2025.Each point includes references in brackets for traceability. Aging Global PopulationThe world is experiencing rapid demographic ageing, with the proportion of older persons (aged 60 years and over) steadily increasing due to declining fertility rates and improvements in life expectancy.• In 2020, the number of people aged 60 years and older already outnumbered children under 5 years for the first time in history [WHO Ageing and Health Factsheet, 2025].• Between 2015 and 2050, the global proportion of people aged 60 years and over is projected to nearly double, rising from 12% to 22% of the total population [WHO Ageing and Health Factsheet, 2025].• By 2025, the global median age reached approximately 31 years, reflecting ongoing shifts toward older populations in most regions [UN World Population Prospects 2024].• The number of people aged 65 years and older is currently estimated at around 857 million globally and is projected to nearly double to 1.58 billion by 2050 [UN Population Division via Statista, 2025].• By the late 2070s, the global population aged 65 and older is expected to reach 2.2 billion, surpassing the number of children under age 18 [United Nations Global Issues: Ageing, 2025].This demographic shift places immense strain on healthcare systems, as older adults typically require more medical services for chronic conditions, long-term care, and age-related diseases [various sources, including UN and WHO reports]. Projected Shortage of 10 Million Health Workers by 2030Global healthcare workforce shortages remain a critical barrier to delivering essential services, particularly in low-and middle-income countries.• The World Health Organization (WHO) estimates a projected shortfall of approximately 10 million health workers by 2030, with some revised models placing the figure at 10.2 million [

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Technology and Human Factors in Education and Health Artificial Intelligence in Healthcare

Publication details

Journal / source
International Journal of Research Publication and Reviews
Volume
7
Issue
1
Pages
152–162
Publication date
1 January 2026