The potential role of AI agents in transforming nuclear medicine research and cancer management in India
Vashistha, Rajat, Gulzar, Arif, Kundu, Parveen, Sharma, Punit, Brunstein, Mark, Vegh, Viktor
–arXiv.org Artificial Intelligence
India faces a significant cancer burden, with an incidence - to - mortality ratio indicating that nearly three out of five individuals diagnosed with cancer succumb to the disease. While the limitations of physical healthcare infrastructure are widely acknowledged as a primary challenge, concerted efforts by government and healthcare agencies are underway to mitigate these constraints. However, given the country's vast geography and high population density, it is imperative to explore alternative soft infrastructure solutions to complement existing frameworks . Artificial Intelligence agents are increasingly transforming problem - solving approaches across various domains, with their application in medicine proving particularly transformative. In this perspective, we examine the potential role of AI agents in advancing nuclear medicine fo r cancer research, diagnosis, and management in India. We begin with a brief overview of AI agents and their capabilities, followed by a proposed agent - based ecosystem that can address prevailing sustainability challenges in India's nuclear medicine. Keywords: AI Agents; cancer; nuclear medicine ecosystem; sustainability challenges 1. Introduction India's with population of 1.4 billion faces a significant cancer burden, with ~1.5 million new cases and ~850,000 deaths annually [1] [2] . With an i ncidence - to - m ortality p ercentage of approximately 64.8%, nearly three out of five individuals diagnosed with cancer are expected to succumb to the disease [2] . Projections indicate that mortality rates will rise significantly, increasing from 64.7% to 109.6% between 2022 and 2050, largely due to demographic shifts as the reproductive - age population transitions into middle and old age. This growing cancer burden will place even more pressure on the already overburdened healthcare system, making it essential to address the gaps in both infrastructure and indigenous research and innovations to ensure timely and effective patient treatment [3] . This trend underscores the urgent need for a resilient, patient - centred framework that integrates medical advancements, early detection through diagnostics, timely therapeutic interventions, and equitable access to care. Nuclear medicine uses a small amount of targeted radioactive material to diagnose and treat cancer [4] .
arXiv.org Artificial Intelligence
Mar-9-2025
- Country:
- Asia > India (1.00)
- North America > United States (0.93)
- Oceania > Australia
- Queensland (0.14)
- Genre:
- Personal (1.00)
- Research Report > Experimental Study (1.00)
- Industry:
- Health & Medicine
- Nuclear Medicine (1.00)
- Therapeutic Area > Oncology (1.00)
- Health & Medicine
- Technology: