James Shaw

General Health Professions · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom James Shaw trusts overall

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

  1. P. Nilsen
  2. Trisha Greenhalgh
  3. Laura J. Damschroder
  4. Shoshana Zuboff

Papers from James Shaw's perspective

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

  1. Measuring factors affecting implementation of health innovations: a systematic review of structural, organizational, provider, patient, and innovation level measures (Implementation Science)
  2. Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science (Implementation science : IS)
  3. Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies (Journal of Medical Internet Research)
  4. Dermatologist-level classification of skin cancer with deep neural networks
  5. Machine learning applications in cancer prognosis and prediction
  6. Cross-trial prediction of treatment outcome in depression: a machine learning approach. (Lancet psychiatry)
  7. Artificial intelligence in healthcare: past, present and future
  8. Google DeepMind and healthcare in an age of algorithms (Health technology)
  9. Machine learning in medicine: Addressing ethical challenges (PLoS Medicine)
  10. Making sense of implementation theories, models and frameworks (Implementation Science)

Their papers