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Artificial intelligence (AI) systems, such as ChatGPT, are increasingly being used in various industries, including healthcare. However, a recent study reveals that doctors are hesitant to adopt these technologies due to a lack of skills to interpret and act upon AI predictions.

Clinical decision support (CDS) algorithms, which are AI tools used to assist healthcare providers in making important medical decisions, have the potential to greatly enhance patient care. For example, they can help doctors determine the appropriate antibiotics or recommend risky surgeries. However, the success of these algorithms depends on how physicians interpret and utilize their risk predictions.

Unfortunately, many doctors currently lack the skills needed to understand and utilize AI algorithms effectively. CDS algorithms can range from simple risk calculators to advanced machine learning systems. They can predict life-threatening conditions or recommend the most effective treatment for individual patients.

To bridge this gap, the authors of the study suggest that medical education and clinical training should include explicit coverage of probabilistic reasoning related to CDS algorithms. Physicians should receive training on how to critically evaluate and use CDS predictions, interpret them in the context of patient care, and effectively communicate them to patients.

Currently, some clinical decision support tools are already integrated into electronic medical records systems. However, healthcare providers often find them cumbersome and difficult to use. The authors emphasize that while doctors do not need to be math or computer experts, they require a baseline understanding of how algorithms work in terms of probability and risk adjustment.

In conclusion, while AI has the potential to transform healthcare, doctors need to develop the necessary skills to incorporate AI algorithms into their practice effectively. By addressing this skills gap, healthcare can fully leverage the benefits of AI in improving patient care.

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Artificial Intelligence in Healthcare Faces Roadblocks Due to ... - Fagen wasanni