Introduction
Artificial intelligence (AI) and machine learning are set to revolutionize the healthcare sector by transforming various aspects such as drug and medical device development, diagnosis [1] [2], clinical decision-making [2], and more. These technologies promise to enhance efficiency and effectiveness while also presenting new challenges and considerations.
Description
AI and machine learning are poised to transform healthcare [2], significantly impacting drug and medical device development [2], diagnosis [1] [2], clinical decision-making [2], population health management [2], electronic health records (EHRs) [1] [2], and health insurance [2]. By reducing administrative duties [1], particularly related to EHR documentation, AI can alleviate physician burnout and assist clinicians in prioritizing patients at higher risk while facilitating earlier disease detection through advanced imaging technologies. However, the exercise of professional judgment remains crucial [2], as emphasized by the Federation of State Medical Boards (FSMB) [2], which holds physicians accountable for their responses to AI recommendations [2].
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References
[1] https://www.lexology.com/library/detail.aspx?g=11d65112-c8c7-4783-8f37-450fb6fcf3a6
[2] https://www.jdsupra.com/legalnews/bipartisan-house-task-force-report-9546374/
