Artificial intelligence (AI) is delivering value across all aspects of clinical practice. However, bias may exacerbate healthcare disparities. This review examines the origins of bias in healthcare AI, strategies for mitigation, and responsibilities of…
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Red teaming, the practice of adversarially exposing unexpected or undesired model behaviors, is critical towards improving equity and accuracy of large language models, but non-model creator-affiliated red teaming is scant in healthcare. We convened…
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What You Should Know:
– Bias Capital, an angel syndicate, today announced the cancellation of its $25M Series A investment in healthcare technology company Parker Health.
– This decision follows alarming findings during the due diligence…
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Applying machine learning to clinical outcome prediction is challenging due to imbalanced datasets and sensitive tasks that contain rare yet critical outcomes and where equitable treatment across diverse patient groups is essential. Despite attempts,…
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Editors note: This article has been updated with a quote from Walgreens to MobiHealthNews.A federal judge in Delaware ruled that Walgreens must pay $987 million as part of an arbitration award won by telemedicine…
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Large language models (LLMs) have the potential to enhance evidence synthesis efficiency and accuracy. This study assessed LLM-only and LLM-assisted methods in data extraction and risk of bias assessment for 107 trials on complementary…
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Current State of Healthcare AI Implementation
While artificial intelligence has become increasingly prevalent in U.S. healthcare systems, with approximately two-thirds of hospitals utilizing AI-assisted predictive models, a striking disparity exists in their evaluation practices. According…
Cognitive training is a promising intervention for psychological distress; however, its effectiveness has yielded inconsistent outcomes across studies. This research is a pre-registered individual-level meta-analysis to identify factors contributing to cognitive training efficacy for…
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What Is Retrieval-Augmented Generation?
With RAG, an LLM is better positioned to optimize its output before generating a response, says Tehsin Syed, Amazon Web Services’ general manager of health AI. This is valuable when a…
While around two-thirds of U.S. hospitals are using AI-assisted predictive models, just 44% of hospitals evaluate these models for bias, raising concerns about equity in patient care.These were the results of a recent study…
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