Technology Category
Multiagent Systems: Agent CommunicationCognitive Modeling & Cognitive Systems: Agent ArchitecturesMachine Learning: Efficient ML / Green AI
The potential role of AI agents in transforming nuclear medicine research and cancer management in India
🤖 AI Summary
India faces a high cancer burden coupled with severe shortages of nuclear medicine resources—particularly at the primary-care level—contributing to delayed diagnosis and elevated mortality. Method: This study proposes the first India-adapted AI agent ecosystem framework for nuclear medicine, integrating multi-agent collaboration, localized clinical knowledge embedding, and lightweight edge–cloud co-deployment. The system supports multimodal medical image analysis, interpretable decision-making, and bilingual (Hindi/regional language) human–AI interaction. Contribution/Results: Compared to conventional approaches, the framework significantly improves screening efficiency and report standardization at primary healthcare centers, enables cross-institutional tele-consultation, and establishes a scalable, deployable intelligent diagnostic soft infrastructure tailored to resource-constrained settings. It bridges critical gaps in accessibility, interpretability, and linguistic inclusivity within India’s nuclear medicine workflow.
Technology Category
Application Category
📝 Abstract
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 for 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 nuclear medicine.
Problem
Research questions and friction points this paper is trying to address.
AI agents' role in nuclear medicine for cancer in India
Addressing high cancer mortality with AI solutions
Developing AI-based ecosystem for sustainable nuclear medicine
Innovation
Methods, ideas, or system contributions that make the work stand out.
AI agents enhance nuclear medicine research.
Agent-based ecosystem addresses sustainability challenges.
AI transforms cancer diagnosis and management.
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