Artificial intelligence (AI) has disrupted every industry with its ability to analyze vast amounts of data to make complex decisions. Within the healthcare sector, which deals with enormous volumes of structured and unstructured data, the possibilities of AI are immense.

AI is a broad term that covers various technologies—with Generative AI (GenAI) emerging as a promising entrant. GenAI, with its transformative capabilities in data synthesis, scenario exploration, and adaptive problem-solving, holds the key to reshaping healthcare.

To take advantage of this AI-fication of healthcare and prevent misapplication of functionalities, enterprises need to be clear on the application of GenAI and traditional AI technologies.

The paper covers:

• The role of AI in transforming Healthcare
• Technologies driving AI's adoption in Healthcare, including GANs, LLMs, and various AI models.
• Traditional AI vs. generative AI: Understanding the capabilities and differences.
• Patient care journey and AI's impact.
• Role of AI in patient journey.
• How Generative AI model (GAN) can improve disease diagnosis.
• Challenges and opportunities in GenAI