New York, Dec 20 (IANS) AI models in health care are a double-edged sword, with models improving diagnostic decisions for some demographics, but worsening decisions for others when the model has absorbed biased medical data, suggests a study. Given the very real life and death risks of clinical decision-making, researchers and policymakers are taking steps to ensure AI models are safe, secure and trustworthy — and that their use will lead to improved outcomes. However, the new study, published in JAMA, finds that even with provided AI explanations, clinicians can be fooled by biassed AI models. “The problem is that the clinician has to understand what the explanation is communicating and the
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