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AI algorithms in healthcare, designed to assist oncologists in discussing treatment options, have shown significant performance issues. A study revealed that an AI tool at the University of Pennsylvania Health System became less effective during the COVID-19 pandemic, failing to prompt critical conversations about end-of-life care. This decline in performance highlights the necessity for ongoing monitoring and support for AI systems in medical settings.
The challenges faced by AI in healthcare underscore a broader issue: the reliance on human oversight to ensure these technologies function effectively. Experts like Dr. Ravi Parikh emphasize that many healthcare institutions do not routinely assess their AI tools, leading to potential failures in patient care. As AI continues to evolve, the integration of consistent human involvement will be crucial for maximizing its benefits.
• AI tools in healthcare require consistent monitoring to maintain effectiveness.
• Performance of AI algorithms declined during the COVID-19 pandemic.
AI refers to computer systems designed to perform tasks that typically require human intelligence, such as decision-making.
An algorithm is a set of rules or calculations used by AI to process data and make predictions.
Monitoring involves the ongoing assessment of AI systems to ensure they function correctly and effectively.
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