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:
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
While AI holds transformative potential in healthcare, rigorous evaluation of its impact, performance, quality, compliance and expense is essential to ensure sustainable, ethical and effective integration into the industry
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