Overview

Artificial intelligence (AI) is creating a new paradigm in health care, enabling transformative applications in patient care while potentially reducing both systemic cost and overburdening.

AI is transforming health care by improving disease detection, precision medicine, drug development and patient monitoring, while also enabling telemedicine, reducing administrative burdens and predicting public health needs. Beyond task application, AI is additionally beginning to shape medical education and professional training as well.

While AI’s application in the medical field forges ahead, public confidence about its use in health care remains low, with 79.4% of respondents in a recent survey conducted by Heartland Forward stating that they do not trust AI to provide accurate information about health care. To advance public acceptance of AI in the medical field, rigorous validation of the efficacy of AI-driven solutions is required. Ethical frameworks and regulatory standards are essential to address algorithmic biases, guarantee patient privacy and ensure equitable health care delivery, and the public needs to be made aware of and understand these regulatory guidelines if public trust in AI is to be improved. The health care sector stands to be meaningfully and substantially impacted by the incorporation of AI into its work and must play a leading role in educating the public and policymakers on the improvements to care that stand to be made by this revolutionary technology.

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