description: "This cluster of papers explores the intersection of artificial intelligence and medicine, focusing on applications in healthcare, medical imaging, clinical decision support, and the ethical challenges associated with AI implementation. It delves into topics such as machine learning, big data, precision medicine, and the potential impact of AI on health equity."
display_name
String: The English-language label of the topic.
display_name: "Artificial Intelligence in Medicine"
domain
Object: The ID and the name (display_name) for the domain of this topic. The domain is the highest level in the "domain, field, subfield, topic" system, which means it is the least granular. See the topics overview for more explanation and a diagram.
domain: {id:4,display_name:"Health Sciences"}
field
Object: The ID and the name (display_name) for the field of this topic. The field is the second-highest level in the "domain, field, subfield, topic" system, which means it is the second-least granular. See the topics overview for more explanation and a diagram.
field: {id:27,display_name:"Medicine"}
id
String: The OpenAlex ID for this topic.
ids
Object: All the external identifiers that we know about for this topic. IDs are expressed as URIs whenever possible. Possible ID types:
wikipedia (String: this topic's Wikipedia page URL)
keywords
List: Keywords consisting of one or several words each, meant to represent the content of the papers in the topic. These keywords were generated as part of the AI model. For now, they are provided as-is, but we will be providing more support and documenting them more thoroughly.
subfield
Object: The ID and the name (display_name) for the subfield of this topic. The subfield is the third-highest level in the "domain, field, subfield, topic" system, which means it is the third-least granular. See the topics overview for more explanation and a diagram.
updated_date
String: The last time anything in this topic object changed, expressed as an ISO 8601 date string. This date is updated for any change at all, including increases in various counts.
works_count
Integer: The number of works tagged with this topic.