Intersection of AI and Healthcare

Abstract

The rapid development of ChatGPT and other generative intelligence models has recently catalyzed the integration of artificial intelligence (AI) into medicine. This evolution raises critical challenges that require attention to technological literacy training in medical education. These generative intelligence models can create inaccurate information, known as hallucinations, and introduce bias into unforeseen workflows. Physician involvement remains pivotal in guiding AI applications, as they possess the most critical perspective on the impact of artificial intelligence on patient outcomes. Physicians must have a voice in AI development and contribute to fact-checking and risk reduction. The development of learning these tools in technology during medical school is vital in addressing these challenges. Institutions like the Western University of Health Sciences advocate for increased technological literacy among future healthcare providers. Improving technical proficiency in students will ensure responsible AI integration, potentially reducing healthcare disparities and empowering prospective providers for more patient-centric care.

Ähnliche Arbeiten