Jiamin Yin

Health Informatics · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jiamin Yin trusts overall

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

  1. Julian P. T. Higgins
  2. Mohammad R. Arbabshirani
  3. S. Green
  4. Eric J. Topol
  5. Iván Contreras
  6. Kee Yuan Ngiam
  7. Brandon K. Fornwalt

Papers from Jiamin Yin's perspective

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

  1. Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy (Annals of Internal Medicine)
  2. High-performance medicine: the convergence of human and artificial intelligence
  3. Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer
  4. Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
  5. A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis. (The Lancet Digital Health)
  6. Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study. (The Lancet Gastroenterology and Hepatology)
  7. Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled study (Gut)
  8. Deep neural network improves fracture detection by clinicians (Proceedings of the National Academy of Sciences of the United States of America)
  9. Artificial intelligence in healthcare: past, present and future
  10. Key challenges for delivering clinical impact with artificial intelligence

Their papers