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A narrative review and impacts on trust for data in the healthcare industry using artificial intelligence
0
Zitationen
3
Autoren
2022
Jahr
Abstract
Artificial intelligence (AI) and robotics are quickly entering the healthcare industry, assuming several important responsibilities, including the capability to diagnose and treat patients. Although the majority of research in its technological development has been focused on interpersonal contact, this has led to a slew of technological challenges. As a result, the scope of technologies' effect on human-human interactions and relationships in the healthcare industry is limited rather than treating healthcare information technology. The hypothesis of AI in health care is that trust is critically important for healthcare partnerships, and because of this, healthcare AI could have dramatic consequences on these bonds of trust. In helping the technology of healthcare in AI, it is believed that data from the traditional task and medical devices have been classified into various levels for maintaining healthcare in the AI domain. Despite this, the application of AI will necessitate successful planning and strategy implementation to help and comprehensively apply these technologies.
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