Dados do Trabalho

Título

Artificial Intelligence in Radiology: Ethics Concerns

Introdução

Introduction: The radiology specialty is already feeling the implications of artificial intelligence (AI). The labor-intensive and time-intensive aspects of radiology work, such as examining CT images, have become increasingly accompanied by AI tools, which means that radiologists have to adapt and dedicate their work to higher-level tasks that require more complex cognitive skills. However, there are certain ethical concerns that come with developing and using AI algorithms. Addressing these concerns is important to avoid moral issues. This article analyzes the main ethical concerns that arise from this perspective.

Casuística e Métodos

Narrative review of current literature.

Resultados

The ethics of data surrounds the acquisition, management, and assessment of data. Some of the most important areas to consider include informed consent, ownership of data, transparency, objectivity, privacy/data protection, ensuring moral and meaningful access to data, as well as the resource to ensure data management. Such data should be used to improve radiology practice and serve patients. Unfortunately, there are ways that data can be unethically used, for instance, for commercial purposes. There are also instances where bias arises when handling patient data. AI may be biased by subsets of data based on ethnicity, gender, economic factors, comorbidities, or technical factors. AI decisions depend on the features of input data, this means that human values, beliefs, and preferences will often be transferred to AI, yet it is the source of human bias.

Conclusões

In summary, AI will likely take up the labor- and time-intensive aspects of radiology work thus freeing radiologists to engage in higher-level tasks that require cognitive skills. However, there are several ethical and moral concerns that emerge, which need a candid conversation. As evident above, they revolve around the ethics of data, ethics of algorithms, and ethics of practice.

Palavras Chave

Artificial Intelligence
Ethics
Radiology

Área

Inteligência Artificial, Inovação e Telerradiologia