{
  "id": 8783,
  "url": "https://doi.org/10.1186/s13244-019-0830-7",
  "title": "Attitudes and perceptions of UK medical students towards artificial intelligence and radiology: a multicentre survey",
  "summary": "OBJECTIVES: To explore the attitudes of United Kingdom (UK) medical students regarding artificial intelligence (AI), their understanding, and career intention towards radiology. We also examine the state of education relating to AI amongst this cohort. METHODS: UK medical students were invited to complete an anonymous electronic survey consisting of Likert and dichotomous questions. RESULTS: Four hundred eighty-four responses were received from 19 UK medical schools. Eighty-eight percent of stud",
  "authors": "Cherry Sit, Rohit Srinivasan, Ashik Amlani, Keerthini Muthuswamy, Aishah Azam, Leo Monzon",
  "category": "research",
  "topics": "healthcare,children-education",
  "orgs": null,
  "regions": "uk",
  "published_at": "2020-02-05T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:43.492Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8783",
  "original_url": "https://doi.org/10.1186/s13244-019-0830-7",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}