Sep 11, 2024 · This review examines potential risks in AI practices that may compromise safety in medicine, including reduced performance across diverse ...
Sep 11, 2024 · Safety challenges in translating AI systems into healthcare include scientific issues inherent to machine learning, logistical implementation ...
Mar 27, 2024 · This piece discusses the current and potential impacts of artificial intelligence on patient safety, as well as challenges to successful ...
Clinical data collected by robots can be hacked into and used for malicious purposes that minimize privacy and security. Some social networks gather and store ...
Artificial Intelligence in Healthcare: Challenges and Risks
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Some of the major challenges and risks associated with AI that healthcare organizations should consider include: Biased data and functional issues. One of the ...
Sep 15, 2021 · Here, I outline and consider privacy concerns with commercial healthcare AI, focusing on both implementation and ongoing data security.
We focus on two aspects of clinical artificial intelligence used for decision-making: moral accountability for harm to patients; and safety assurance.
Nov 14, 2019 · Several risks and challenges emerge, including the risk of injuries to patients from AI system errors, the risk to patient privacy of data acquisition and AI ...
Feb 23, 2024 · Patient safety AI guidelines must address issues such as the tendency for people to overly trust AI, algorithm drift that results in variation ...
Ethical issues, such as data privacy and bias, are among the most significant challenges we found when using AI in healthcare. Ensuring the protection of ...
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