Health disparities refer to the differences in health access and outcomes among diverse population groups, driven by factors like race and ethnicity. For instance, marginalized communities often face higher mortality rates and lack essential healthcare services, such as prenatal care. Despite nearly equal representation in the U.S., people of color face systemic inequalities, exemplified by higher uninsured rates among Hispanics and alarming infant mortality rates among Black infants. Beyond biological determinants, social factors, including living conditions and financial stability, significantly contribute to these disparities, necessitating comprehensive solutions, including the application of artificial intelligence in healthcare.
In the health care industry, disparities in treatment access and patient outcomes among various groups lead to avoidable loss of lives and dollars.
Artificial intelligence has the potential to resolve long-standing pain points in health disparities, offering human-like intelligence with supercomputer speed.
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