Danton S. Char
Health Informatics · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Health Informatics — 10 citations into it; #185 of 240 by trust here, #47 by citations
- General Health Professions — 5 citations into it; #3,885 of 4,781 by trust here, #1,174 by citations
- Public Health, Environmental and Occupational Health — 5 citations into it; #1,883 of 2,368 by trust here, #559 by citations
Whom Danton S. Char trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Danton S. Char overall
- Daniel S. Schiff
- Pouyan Esmaeilzadeh
- Blake Murdoch
- Muhammad Hussain
- Michael David Abràmoff
- Khansa Rasheed
- Jie Zhang
- Zhaoyi Xu
Papers from Danton S. Char's perspective
Ordered by how strongly the researchers Danton S. Char trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting the Future — Big Data, Machine Learning, and Clinical Medicine (New England Journal of Medicine)
- Implementing Machine Learning in Health Care — Addressing Ethical Challenges
- Opportunities and obstacles for deep learning in biology and medicine
- Machine Learning in Medicine (New England Journal of Medicine)
- Anticipatory Ethics for Emerging Technologies
- Artificial intelligence, bias and clinical safety (BMJ Quality & Safety)
- Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices
- The need for uncertainty quantification in machine-assisted medical decision making (Nature Machine Intelligence)
- Computer-Interpreted Electrocardiograms: Benefits and Limitations. (Journal of the American College of Cardiology)
- Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy (Journal of Medical Internet Research)
Their papers
- Identifying Ethical Considerations for Machine Learning Healthcare Applications (2020) — 315 citations
- Implementing Machine Learning in Health Care — Addressing Ethical Challenges (2018) — 1,243 citations