 AI, Finance, and the Future of Healthcare and Medical Tourism in DelhiPankhuri Kapoor and Tushinder Preet Kaur Chapter 8 in AI in Finance:Shaping the Future of Intelligent Automation and Financial Services, 2026, pp 167-184 from World Scientific Publishing Co. Pte. Ltd. Abstract: This chapter explores the evolving landscape of Delhi’s healthcare system and its growing role as a hub for medical tourism, focusing on the integration of artificial intelligence (AI) and financial innovations. By employing principal component analysis and principal component correlation, the study identifies key determinants of healthcare efficiency, such as infrastructure, emergency services, and healthcare funding, and examines their impact on the growth of medical tourism. The findings reveal that hospital capacity, doctor availability, and emergency response infrastructure are strongly correlated with the inflow of international patients. The chapter further highlights how AI technologies, ranging from diagnostic and robot-assisted surgeries to hospital management and telemedicine, are optimizing healthcare delivery and enhancing the medical tourism experience. Additionally, AI-driven financial models, insurance innovations, and fintech solutions are contributing to the sustainability and economic viability of Delhi’s medical tourism sector. The study concludes by emphasizing the need for strategic policy frameworks to ensure that technological and financial advancements benefit both international patients and the local population, positioning Delhi as a future-ready global healthcare destination. Keywords: Artificial Intelligence; AI in Finance; Financial Technology; FinTech; Machine Learning; Deep Learning; Neural Networks; Automation; Robotics; Intelligent Automation; Algorithmic Trading; Robo-Advisors; Predictive Analytics; Data Science; Big Data; Risk Management; Credit Scoring; Fraud Detection; AI Ethics; Responsible AI; AI Governance; Regulatory Compliance; Financial Regulations; Cybersecurity; Blockchain; Cryptocurrencies; Bitcoin; Ethereum; InsurTech; Digital Banking; AI in Banking; AI in Investments; AI in Insurance; AI in Wealth Management; AI in Payments; Natural Language Processing; AI Chatbots; Virtual Assistants; Customer Experience; Personalization; Sentiment Analysis; Credit Risk Modeling; Financial Forecasting; AI-powered Decision Making; Quantitative Finance; Trading Algorithms; High-Frequency Trading; AI in Hedge Funds; AI-driven Market Analysis; Automated Financial Services; Smart Contracts; Digital Assets; AI-driven Portfolio Management; Financial Planning; AI in Asset Management; AI in Lending; AI in Mortgage Industry; Financial Inclusion; Alternative Data; Explainable AI; Model Interpretability; AI and Human Collaboration; AI-driven Credit Analysis; Robo-Trading; Supervised Learning; Unsupervised Learning; Reinforcement Learning; AI-driven Customer Insights; Data-driven Decision Making; Financial Market Predictions; Behavioral Finance; Smart Finance; AI-based Anomaly Detection; Computational Finance; Financial Data Analytics; Financial Fraud Prevention; Future of Work in Finance; AI Strategy in Financial Firms; Financial Risk Analytics; Digital Transformation in Finance (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:wsi:wschap:9781800618428_0008 Ordering information: This item can be ordered from Access Statistics for this chapter More chapters in World Scientific Book Chapters from World Scientific Publishing Co. Pte. Ltd. |
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