Blake Murdoch

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Blake Murdoch trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Julia E. Powles
  2. Yaniv Erlich
  3. Danton S. Char
  4. Muhammad Aurangzeb Ahmad
  5. Daniel A. Hashimoto
  6. F. Jiang

Who trusts Blake Murdoch overall

  1. Shiva Maleki Varnosfaderani
  2. Reabal Najjar

Papers from Blake Murdoch's perspective

Ordered by how strongly the researchers Blake Murdoch trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Identifying Personal Genomes by Surname Inference (Science)
  2. Implementing Machine Learning in Health Care — Addressing Ethical Challenges
  3. The practical implementation of artificial intelligence technologies in medicine
  4. Artificial intelligence in healthcare: past, present and future
  5. Identity inference of genomic data using long-range familial searches (Science)
  6. Interpretable Machine Learning in Healthcare
  7. Google DeepMind and healthcare in an age of algorithms (Health technology)
  8. Artificial intelligence in cardiology (Wiener Klinische Wochenschrift)
  9. Artificial Intelligence in Surgery: Promises and Perils (Annals of Surgery)
  10. Predicting the Future — Big Data, Machine Learning, and Clinical Medicine (New England Journal of Medicine)

Their papers