11 papers
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Aditi Singh, Abul Ehtesham, Saket Kumar +2
Large Language Models (LLMs) have advanced artificial intelligence by enabling human-like text generation and natural language understanding. However, their reliance on static trai…
Agentic AI for Clinical Urgency Mapping and Queue Optimization in High-Volume Outpatient Departments: A Simulation-Based Evaluation
Ravish Gupta, Saket Kumar, Maulik Dang
Outpatient departments (OPDs) in Indian public hospitals face severe overcrowding, with daily volumes reaching 200--8,000 patients~\cite{aiims2020annual}. The prevailing First-Come…
Agentic AI and Occupational Displacement: A Multi-Regional Task Exposure Analysis of Emerging Labor Market Disruption
Ravish Gupta, Saket Kumar
This paper extends the Acemoglu-Restrepo task exposure framework to address the labor market effects of agentic artificial intelligence systems: autonomous AI agents capable of com…
An Agentic Multi-Agent Architecture for Cybersecurity Risk Management
Ravish Gupta, Saket Kumar, Shreeya Sharma +2
Getting a real cybersecurity risk assessment for a small organization is expensive -- a NIST CSF-aligned engagement runs $15,000 on the low end, takes weeks, and depends on practit…
Evolution of AI Agent Registry Solutions: Centralized, Enterprise, and Distributed Approaches
Aditi Singh, Abul Ehtesham, Mahesh Lambe +8
Autonomous AI agents now operate across cloud, enterprise, and decentralized domains, creating demand for registry infrastructures that enable trustworthy discovery, capability neg…
Enhancing Clinical Decision Support and EHR Insights through LLMs and the Model Context Protocol: An Open-Source MCP-FHIR Framework
Abul Ehtesham, Aditi Singh, Saket Kumar
Enhancing clinical decision support (CDS), reducing documentation burdens, and improving patient health literacy remain persistent challenges in digital health. This paper presents…