Artificial Intelligence in Healthcare: India Case Study

The field of artificial intelligence (AI) has shown a profound impact on the healthcare sector. The healthcare sector has been actively exploring the potential of AI to enable autonomous treatment options. One of the key factors driving the adoption of AI in healthcare, particularly in countries like India, is the shortage of trained medical professionals. With a large population and limited resources, AI offers a promising solution to bridge the gap between healthcare demand and supply. The COVID-19 pandemic has further highlighted the need for advanced technologies like AI to support healthcare systems overwhelmed by crisis. This chapter aims to delve into the advancements of AI in healthcare, with a specific focus on radiology and medical image analysis. This chapter will provide an overview of machine learning and deep learning methods used in radiology, along with challenges and potential solutions for improving AI-based healthcare. Further, this chapter will highlight the existing AI products and solutions. These products encompass various applications, such as computer-aided diagnosis, automated tumor detection, and predictive analytics for patient outcomes. The discussion will showcase the real-world impact of AI in healthcare and how it is transforming the delivery of medical services. Finally, this chapter will provide a futuristic outlook for AI in healthcare for India.