A. Lack of trained personnel to operate AI systems. B. High cost of implementing AI technology. C. Reliability and accuracy of AI algorithms. D. Resistance from patients to use AI-based diagnoses. 相关知识点: 试题来源: 解析 C。原因:“However, the use of AI in healthcare also comes wit...
The American Medical Association (AMA) hasidentified key pointsfor the development and use of AI in healthcare that emphasize the use of population-representative data and takes steps to address explicit and implicit bias and transparency in the use of AI for healthcare. The AMA also encourages ...
What are the potential risks of using AI in healthcare? A. High cost. B. Lack of trained personnel. C. Inaccuracy and privacy concerns. D. Limited availability. 相关知识点: 试题来源: 解析 C。解析:文章提到潜在风险包括人工智能算法的准确性和可靠性问题,以及患者数据的隐私和安全问题。
“AI in healthcare is increasingly being used with respect to medical devices and other types of technologies and therapeutics,” Linda Malek, partner at Moses & Singer and chair of the firm’s Healthcare and Privacy & Cybersecurity practice groups, said in an interview withHealthITSecurit...
Artificial intelligence in healthcare has the ability to improve cancer detection, process large amounts of data, and enhance care coordination. However, there are still significant regulatory gaps when it comes to theprivacy and security of AI. ...
It can also empower patients to take greater control of their own health care and bridge gaps in access to health services. However, the WHO guidance says that AI systems must be carefully designed to reflect the diversity of socio-economic and healthcare settings and be accompanied by training...
Other encouraging use cases for AI in healthcare include tools that can alert clinicians when patients are about to take a turn for the worse. "For some of the sickest patients - those with sepsis, an infection of the bloodstream infecting the whole body - we want to identify tho...
Cyber risks of AI in wearable devices Though a breakthrough in patient care, healthcare providers must be aware of the cybersecurity risks associated with advances in AI technology and how to defend devices against potential attacks. Data privacy breaches are extremely common in ...
Digital healthcarePerceived trustPerceived privacy riskThe use of artificial intelligence (AI) in the healthcare field is gaining popularity. However, it also raises some concerns related to privacy and ethical aspects that require the development of a responsible AI framework. The principle of ...
Implementation Flavors: 3 Ways to Implement Generative AI into Healthcare The adoption of GenAI in healthcare presents a range of implementation strategies, each tailored to fit different organizational needs and capabilities. As we explore the specifics of these strategies, it’s crucial to understan...