In this paper, we explain AI's diverse applications throughout the patient care journey while carefully distinguishing between GenAI and other AI technologies.
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. Nonetheless, GenAI is still nascent and confronts several challenges that warrant attention. To take advantage of this AI-fication of healthcare and prevent misapplication of functionalities, enterprises need to be clear on the distinction between 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.
- Challenges and opportunities in GenAI
