E. Schuit
Artificial Intelligence · 2016–2022
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 48 citations into it
Whom E. Schuit trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from E. Schuit's perspective
Ordered by how strongly the researchers E. Schuit trusts endorse each paper. Same corpus, a different order for every researcher.
- Key challenges for delivering clinical impact with artificial intelligence
- Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View
- Datasheets for datasets
- Methodologic Guide for Evaluating Clinical Performance and Effect of Artificial Intelligence Technology for Medical Diagnosis and Prediction. (Radiology)
- Prognosis and prognostic research: application and impact of prognostic models in clinical practice (British medical journal)
- Reporting guidelines for clinical trial reports for interventions involving artificial intelligence: the CONSORT-AI extension
- The Ethics of AI Ethics: An Evaluation of Guidelines (Minds and Machines)
- National Institute for Health and Care Excellence. (European Heart Journal)
- AI in Health: State of the Art, Challenges, and Future Directions (Yearbook of Medical Informatics)
- Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (Information Fusion)
Their papers
- Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review (2022) — 377 citations
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal (2020) — 2,435 citations
- Prediction models for cardiovascular disease risk in the general population: systematic review (2016) — 842 citations