{
  "id": 8525,
  "url": "https://doi.org/10.1186/s13073-019-0689-8",
  "title": "Artificial intelligence in clinical and genomic diagnostics",
  "summary": "Artificial intelligence (AI) is the development of computer systems that are able to perform tasks that normally require human intelligence. Advances in AI software and hardware, especially deep learning algorithms and the graphics processing units (GPUs) that power their training, have led to a recent and rapidly increasing interest in medical AI applications. In clinical diagnostics, AI-based computer vision approaches are poised to revolutionize image-based diagnostics, while other AI subtype",
  "authors": "Raquel Dias, Ali Torkamani",
  "category": "research",
  "topics": "healthcare,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2019-11-19T00:00:00.000Z",
  "fetched_at": "2026-07-14T16:33:39.870Z",
  "source_slug": "openalex",
  "source_name": "OpenAlex",
  "source_homepage": "https://openalex.org",
  "ethics_ai_record_url": "https://ethics.ai/record/8525",
  "original_url": "https://doi.org/10.1186/s13073-019-0689-8",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}