Experts Assess AI and Language Models in Disease Care, Focusing on Performance, Safety, and Ethics
ai-safety
| Source: Frontiers | Original article
AI tools are being used in infectious disease and critical care. Their performance and safety are under evaluation.
Artificial intelligence tools and large language models are being rapidly deployed in infectious disease and critical care, outpacing the evidence base. This trend raises concerns about performance, safety, and responsible clinical use. As we reported on May 26, language models have shown potential in assisting clinical decision-making, but studies evaluating their diagnostic performance on complex critical illness cases are lacking.
The integration of large language models in clinical medicine has introduced transformative capabilities for analyzing and managing complex medical information. However, it is crucial to assess the diagnostic accuracy and response quality of these models to ensure they can assist clinicians effectively. The risk of "hallucination" - where models provide incorrect or misleading information - is a significant concern, particularly in high-stakes environments like critical care.
As researchers continue to explore the application of large language models in critical care medicine, it is essential to prioritize clinical validation, guideline concordance, and AI safety. The development of real-world evidence and evaluation frameworks will be critical in ensuring the responsible deployment of these technologies. With the potential to improve patient outcomes and combat antimicrobial resistance, the responsible use of AI in infectious disease and critical care is an area to watch closely in the coming months.
Sources
Back to AIPULSEN