the Limits of Healthcare AI
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Incentives, Equilibria, and the Limits of Healthcare AI: A Game-Theoretic Perspective
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Perspective on Bias in Biomedical AI: Preventing Downstream Healthcare Disparities
Announce Type: replace Abstract: Healthcare disparities persist across socioeconomic boundaries, often attributed to unequal access to screening, diagnostics, and therapeutics. However, this perspective highlights that critical biases can emerge much earlier, during data collection and research prioritization, long before clinical implementation, particularly in studies focused on molecular and omics data. A vast number of studies focus on collecting omics data, but the demographic...
Large AI Models in Dental Healthcare: From General-Purpose Systems to Domain-Specific Foundation Models
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Large AI Models in Dental Healthcare: From General-Purpose Systems to Domain-Specific Foundation Models
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AI saves clinicians time but most lack training, survey finds
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Clinicians are embracing AI faster than hospitals can handle, report finds
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The Word and the Way: Strategies for Domain-Specific BERT Pre-Training in German Medical NLP
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TriEval: A Resource-Efficient Pipeline for LLM Bias, Toxicity, and Truthfulness Assessment
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AI is boosting accuracy for clinicians, Philips North America CEO says
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AI From the Margins (AIM): Rethinking Participatory AI Design Through the Lived Experience of Minoritized Communities
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