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Healthcare Disparities

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Addressing hidden risks: Systematic review of artificial intelligence biases across racial and ethnic groups in cardiovascular diseases.

European journal of radiology
BACKGROUND: Artificial intelligence (AI)-based models are increasingly being integrated into cardiovascular medicine. Despite promising potential, racial and ethnic biases remain a key concern regarding the development and implementation of AI models...

Evaluating machine learning model bias and racial disparities in non-small cell lung cancer using SEER registry data.

Health care management science
BACKGROUND: Despite decades of pursuing health equity, racial and ethnic disparities persist in healthcare in America. For cancer specifically, one of the leading observed disparities is worse mortality among non-Hispanic Black patients compared to n...

Operational Advantages of Novel Strategies Supported by Portability and Artificial Intelligence for Breast Cancer Screening in Low-Resource Rural Areas: Opportunities to Address Health Inequities and Vulnerability.

Medicina (Kaunas, Lithuania)
Early detection of breast cancer plays a crucial role in reducing the number of cases diagnosed at advanced stages, thereby lowering the high healthcare costs required to achieve disease-free survival and helping to prevent avoidable premature deaths...

Artificial Intelligence and Cancer Health Equity: Bridging the Divide or Widening the Gap.

Current oncology reports
PURPOSE OF REVIEW: This review aims to evaluate the impact of artificial intelligence (AI) on cancer health equity, specifically investigating whether AI is addressing or widening disparities in cancer outcomes.

Democratizing cancer detection: artificial intelligence-enhanced endoscopy could address global disparities in head and neck cancer outcomes.

European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery
INTRODUCTION: This article explores the potential role of artificial intelligence (AI) in enhancing the early detection and diagnosis of head and neck squamous cell carcinoma (HNSCC).

Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review.

BMC medical informatics and decision making
BACKGROUND: Artificial intelligence (AI)-based systems are being rapidly integrated into the fields of health and social care. Although such systems can substantially improve the provision of care, diverse and marginalized populations are often incor...

Impact of AI on Access to Care a Three-Pronged Approach for Enhancing Access to Surgical Care: Lessons From Electrical Safety and the Impact of AI on Health Equity.

The American surgeon
As we enter the 21st century, a new wave of transformation is occurring in health care, mainly through artificial intelligence (AI). Like electricity, AI is a powerful tool that can either harm or heal, depending on how it is managed. In 2015, the Un...

Incorporating machine learning and statistical methods to address maternal healthcare disparities in US: A systematic review.

International journal of medical informatics
BACKGROUND: Maternal health disparities are recognized as a significant public health challenge, with pronounced disparities evident across racial, socioeconomic, and geographic dimensions. Although healthcare technologies have advanced, these dispar...

Global disparities in artificial intelligence-based mammogram interpretation for breast cancer: A scientometric analysis of representation, trends, and equity.

European journal of cancer (Oxford, England : 1990)
BACKGROUND: Breast cancer (BC) is the most frequently diagnosed cancer and the leading cause of cancer death among women worldwide. Artificial intelligence (AI) shows promise for improving mammogram interpretation, especially in resource-limited sett...